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An Artificial Intelligence (Ai) Powered Acupressure Therapeutic Device And Method Of Operating The Same

Abstract: ABSTRACT: Title: An Artificial Intelligence (AI) Powered Acupressure Therapeutic Device and Method of Operating the Same The present disclosure proposes an artificial intelligence (AI) powered acupressure therapeutic device (100). The AI powered acupressure therapeutic device (100) provides a highly customizable, accurate, and personalized acupressure experience to the unique characteristics of each user, thereby enhancing the effectiveness and user satisfaction in traditional healing practices. The artificial intelligence (AI) powered acupressure therapeutic device (100) comprises a housing (102), an X-ray imaging unit (104), a biometric sensor (108), a display unit (110), a glove (112), and an artificial intelligence (AI) control unit (128). The X-ray imaging unit (104) is configured to capture an X-ray image of a user’s hand. The glove (112) is configured for performing hand acupressure on one or more acupoints of the user. The AI control unit (128) is configured to be in communication with a user interface through a wireless network.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
20 January 2024
Publication Number
06/2024
Publication Type
INA
Invention Field
BIO-MEDICAL ENGINEERING
Status
Email
Parent Application
Patent Number
Legal Status
Grant Date
2025-11-14
Renewal Date

Applicants

Institute of Aeronautical Engineering
Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.
Dr. Shaik Jakeer Hussain
Associate Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.
Dr. M Nagaraju
Assistant Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India
Dr. P. Naga Lakshmi Devi
Assistant Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.
Ms. S. Viharika
Assistant Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.
Mr. K Subba Shankar
Assistant Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.
Ms. Bidyutlata Sahoo
Assistant Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.
Mr. Bhukya Mohan
Assistant Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India
Ms. V. Nagasri
Assistant Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.
Mr. Sama Sudheer Reddy
Assistant Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.
Mr. Somla
Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.

Inventors

1. Dr. Shaik Jakeer Hussain
Associate Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.
2. Dr. M Nagaraju
Assistant Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India
3. Dr. P. Naga Lakshmi Devi
Assistant Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.
4. Ms. S. Viharika
Assistant Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.
5. Mr. K Subba Shankar
Assistant Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.
6. Ms. Bidyutlata Sahoo
Assistant Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.
7. Mr. Bhukya Mohan
Assistant Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India
8. Ms. V. Nagasri
Assistant Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.
9. Mr. Sama Sudheer Reddy
Assistant Professor, Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.
10. Mr. Somla
Department of CSE(AI & ML), Institute of Aeronautical Engineering, Dundigal Road, Dundigal, Hyderabad - 500043, Telangana, India.

Specification

Description:DESCRIPTION:
Field of the invention:
[0001] The present disclosure generally relates to the technical field of an acupressure therapeutic device, in specific, relates to an artificial intelligence (AI) powered acupressure therapeutic device that provides a highly customizable, accurate, and personalized acupressure experience to the unique characteristics of each user, thereby enhancing the effectiveness and user satisfaction in traditional healing practices.
Background of the invention:
[0002] In general, medical imaging technology involves the use of machines to create images of the body for diagnosis and treatment. It is also known as radiology, which creates visual representations of the interior of the body for clinical analysis. These techniques assist healthcare professionals in examining anatomical structures, detecting abnormalities, and diagnosing various medical conditions. They utilize advanced technology to produce detailed images of organs, tissues, bones, and other body structures.

[0003] Some common medical imaging techniques include X-rays, computed tomography (CT) scans, magnetic resonance imaging (MRI), ultrasound, and positron emission tomography (PET) scans. However, the imaging techniques mentioned earlier, such as MRI, fMRI, PET, and SPECT, are primarily used for diagnostic purposes to assess internal body structures and physiological processes. They are not specifically designed to visualize acupressure points or directly measure the effects of acupressure treatment on the hands and palms.

[0004] Acupressure is a technique in which pressure is applied to different points throughout the body to control symptoms such as pain or digestive issues. It is used in some massage therapy, like the Japanese practice of “Shiatsu.” It can also be done as part of an acupuncture treatment, or you can do acupressure on yourself, but people often do acupressure techniques manually on their hands, which may cause additional pain to the massager's hands, and it is a time-consuming process.

[0005] Acupressure therapy stimulates the body’s circulatory, lymphatic, and hormonal processes. It helps in relieving stress and anxiety, improves sleep, relaxes individual muscles and joints, regulates digestive tissues, and minimizes headaches and migraines. Acupressure therapy is also beneficial for back pain and menstrual cramps. People use acupressure therapy as a non-drug approach for a variety of physical complaints, which is safe and also a cost-effective alternative. Moreover, the human hand has a lot of acupressure points, and pressing on that point affects the other parts of the body as well as the overall health of the user.

[0006] The acupressure on the point is intended to transfer the energy all over the body and stimulate the blood at the specific part in which acupressure therapy is performed. Magnetic therapy, along with acupuncture, is very beneficial for human health. The magnets are placed in the same section of the individual body at the time of acupuncture to clear the energy pathways and channels. There are various devices developed on the market for providing acupressure along with magnetic therapy over the hand sections, but these devices are not adjustable to an accurate position and also do not allow the adjustment of pressure applied over the sections of the hands. Therefore, there is a need for a solution.

[0007] There are hand acupressure devices available on the market that require manual user operation. For instance, the choudhary acupressure hand diagnosis device involves placing the pole window patch on specific areas of the hand, and gradually, the user feels vibrations from the frequency wave. Adjusting the treatment knob regulates the intensity based on individual comfort levels. It's common for the frequency waves on the left and right to differ. However, this device doesn't feature automatic detection of acupressure points on the hand or perform automatic acupressure based on hand patterns.

[0008] Also, an ARG arogya hand acupressure device offers comprehensive massage therapy specifically designed to alleviate fatigue and soreness in the hands. This device utilizes revitalizing air compression cells that encompass the entire hand, applying gradual pressure in a rhythmic pulsing motion. Additionally, it gently stretches the palms and fingers to provide a comforting experience. Moreover, the device generates a soothing heat that emanates from the back of the hand, spreading through the fingers and palms for a relaxing sensation. However, the device does not incorporate a feature for automatic detection of individual acupressure points on the human hand to tailor the acupressure massage based on the user's specific body pain by using medical imaging techniques.

[0009] Existing technology uses an artificial intelligence bodybuilding machine. The machine utilizes a scanner for 3D scanning of a human body to acquire a 3D data building model of the human body. A conventional acupoint selecting method is adopted, acupoints are accurately selected on the model as software to be stored in a computer, and acupoint prescriptions and treatment methods designed for different diseases and different healthcare requirements are stored as software on the computer. An artificial intelligence manipulator controlled by the software of the computer can automatically and accurately perform treatments or health care like acupuncture, massage, and cupping. However, the existing technology is not effective in identifying the acupoints of the user.

[0010] The patent US20220395207A1 describes a thermal imaging diagnostic method and system. This system captures high-resolution thermal and infrared images of a mammalian subject's hand or foot. It creates a map identifying neurogenic spots that signal various medical conditions or irregularities in specific organs. Alongside, the system offers suggestions for additional tests, upcoming treatments, or immediate care for these neurogenic spots. However, it provides acupressure recommendations through mobile means and doesn't automatically administer acupressure treatment based on the individual's body condition using medical imaging techniques.

[0011] By addressing the above-mentioned problems, there is a need for an artificial intelligence (AI)-powered acupressure therapeutic device that provides a highly customizable, accurate, and personalized acupressure experience tailored to the unique characteristics of each user, thereby enhancing the effectiveness and user satisfaction of traditional healing practices. There is also a need for an artificial intelligence (AI)-powered acupressure therapeutic device that provides unmatched precision in acupoint identification through X-ray imaging, thereby enhancing acupoint accuracy and ensuring effective acupressure stimulation.

[0012] There is also a need for an artificial intelligence (AI)-powered acupressure therapeutic device that uses electro active polymer (EAP) actuators to deliver consistent and controlled pressure to each acupoint, thereby eliminating the variability of manual acupressure techniques. There is also a need for an artificial intelligence (AI)-powered acupressure therapeutic device that uses an artificial intelligence (AI) control unit to personalize acupressure treatments by considering individual needs, preferences, and treatment history. There is also a need for an artificial intelligence (AI)-powered acupressure therapeutic device that provides a personalized approach to acupressure therapy, which enhances therapeutic outcomes and improves patient experiences. Further, there is also a need for an artificial intelligence (AI)-powered acupressure therapeutic device that seamlessly blends traditional Chinese medicine practices with modern technology, providing users with a convenient and effective acupressure therapy solution.
Objectives of the invention:
[0013] The primary objective of the present invention is to provide an artificial intelligence (AI)-powered acupressure therapeutic device that provides a highly customizable, accurate, and personalized acupressure experience tailored to the unique characteristics of each user, thereby enhancing the effectiveness and user satisfaction of traditional healing practices.

[0014] Another objective of the present invention is to provide an artificial intelligence (AI)-powered acupressure therapeutic device that uses X-ray imaging to provide unmatched precision in acupoint identification, thereby enhancing acupoint accuracy and ensuring effective acupressure stimulation.

[0015] Another objective of the present invention is to provide an artificial intelligence (AI)-powered acupressure therapeutic device that uses electro active polymer (EAP) actuators to deliver consistent and controlled pressure to each acupoint, thereby eliminating the variability of manual acupressure techniques.

[0016] Another objective of the present invention is to provide an artificial intelligence (AI)-powered acupressure therapeutic device that uses an artificial intelligence (AI) control unit to personalize acupressure treatments by considering individual needs, preferences, and treatment history.

[0017] Yet another objective of the present invention is to provide an artificial intelligence (AI)-powered acupressure therapeutic device that provides a personalized approach to acupressure therapy, which enhances therapeutic outcomes and improves patient experiences.

[0018] Further objective of the present invention is to provide an artificial intelligence (AI)-powered acupressure therapeutic device that seamlessly blends traditional Chinese medicine practices with modern technology for providing a convenient and effective acupressure therapy solution for users.
Summary of the invention:
[0019] The present disclosure proposes an artificial intelligence (AI) powered acupressure therapeutic device. The following presents a simplified summary in order to provide a basic understanding of some aspects of the claimed subject matter. This summary is not an extensive overview. It is not intended to identify key/critical elements or to delineate the scope of the claimed subject matter. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.

[0020] In order to overcome the above deficiencies of the prior art, the present disclosure is to solve the technical problem to provide an artificial intelligence (AI) powered acupressure therapeutic device that provides a highly customizable, accurate, and personalized acupressure experience to the unique characteristics of each user, thereby enhancing the effectiveness and user satisfaction in traditional healing practices.

[0021] According to one aspect, the invention provides the artificial intelligence (AI) powered acupressure therapeutic device. The artificial intelligence (AI)-powered acupressure therapeutic device comprises a housing defining a chamber, in specific the housing comprises opening for allowing a user’s hand. In one embodiment, the artificial intelligence (AI)-powered acupressure therapeutic device comprises an X-ray imaging unit, a biometric sensor, a display unit, a glove, and an artificial intelligence (AI) control unit.

[0022] In one embodiment, the X-ray imaging unit positioned within the housing. The X-ray imaging unit comprises an X-ray film and an X-ray scan. The X-ray film and an X-ray scan configured to capture an X-ray image of a user’s hand.

[0023] In one embodiment, the biometric sensor is positioned to the housing. The biometric sensor is configured to detect at least one finger print of the user to log-in and thereby recognizing hand and palm of the user upon receiving the at least one finger print.

[0024] In one embodiment, the display unit is positioned to the outer portion of the housing. In specific, the display unit is configured to allow the user to enter login credentials and other inputs through a touch screen. The display unit is configured to display the acupressure points to the user.

[0025] In one embodiment, the glove is disposed within the chamber. The glove is configured to receive the user’s hand through the opening and preform the hand acupressure by applying pressure to acupoints on the user’s hand. In one embodiment, the glove is attached with a connecting member that is connected to the housing internally, for regulating the movement of the glove while performing acupressure.

[0026] In one embodiment herein, the glove is designed with plurality of layers, which includes a first layer, a second layer and a third layer. In one embodiment, the first layer is configured with one or more of protrusions formed on an inner surface of the glove, which is configured to be actuated for applying the pressure on the acupoints of the user’s hand. The plurality of protrusions having a smooth and rounded surface for distributing the pressure while providing comfort to the user.

[0027] In one embodiment, the second layer is comprises an electro-active actuator operably positioned within the glove. The electro-active actuator is configured to activate the glove automatically and perform hand acupressure based on the different hand size of the user.

[0028] The electro-active actuator is configured to control movements of the plurality of protrusions based on user’s inputs for preforming the hand acupressure and adjust position of the user’s hand and fingers dynamically during the hand acupressure.

[0029] In one embodiment, the electro-active actuator comprises plurality of electro-active acupoint elements, an electro-active line. In one embodiment herein, the plurality of electro-active acupoint elements is configured to be operated for enabling and controlling the movements of each protrusion, respectively.

[0030] In one embodiment, the electro-active line in communication with the plurality of electro-active acupoint elements configured to change user’s hand unique contours, adjust the user’s hand and fingers dynamically, thereby controlling firmness or flexibility during the hand acupressure.

[0031] In one embodiment, the third layer is configured with one or more pressure sensors. The one or more pressure sensors are disposed on the electro-active actuator within the inner surface of the glove. In one embodiment, the one or more pressure sensors configured to detect and maintain optimal pressure applying on the each protrusion of the glove.

[0032] In one embodiment, the artificial intelligence (AI) control unit positioned on the top portion of the glove and is configured to be in communication with a user interface through a wireless network. The user can be notified the hand acupressure process through the user interface. The AI control unit is configured to receive user’s inputs through the touch screen of the display unit. The AI control unit is configured to store data related to hand acupressure procedures, user credentials such as individuals health data, biometrics in a database and record the data related to component activation.

[0033] The AI control unit is configured to leverage user’s health data in order to determine the beneficial time for acupressure sessions based on the type of disease. The AI control unit is configured to enable user to receive notifications through the user interface via the wireless network. The AI control unit is configured to provide guidance to the user regarding the duration and frequency of acupressure sessions tailored for treating specific diseases.

[0034] In one embodiment herein, the AI control unit is configured to process the captured X-ray image through at least one neural network for identifying user’s acupoints. The AI control unit is configured to customize acupressure treatment by considering factors like gender and age to prevent excessive pressure application. In one embodiment herein, the artificial intelligence (AI) powered acupressure therapeutic device comprises a power source for supplying electrical power to all the components.

[0035] According to another aspect, the invention provides method for operating the artificial intelligence (AI) powered acupressure therapeutic device. At one step, the biometric sensor receives the least one finger print of the user for registering and enabling the artificial intelligence (AI) powered acupressure therapeutic device to access the stored acupressure preferences and treatment history of the user.

[0036] At other step, the user places at least one hand in the glove and the user activates the X-ray imaging unit by the user through the display unit upon finger print identification for capturing the X-ray image of the at least one hand.

[0037] At another step, the artificial intelligence (AI) control unit possesses the captured X-ray image for identifying the user’s acupoints using at least one neural network.

[0038] At other step, the AI control unit activates the electro-active actuator to control movements of the plurality of protrusions based on user’s inputs for preforming the hand acupressure automatically based on the different hand size of the user.

[0039] At another step, the electro-active line in communication with the plurality of electro-active acupoint elements is activated to change user’s hand unique contours, adjust the user’s hand and fingers dynamically, thereby controlling firmness or flexibility during the hand acupressure.

[0040] Further at other step, the one or more pressure sensors detects the pressure applied on each protrusion of the glove, thereby ensuring optimal acupressure stimulation during the hand acupressure and customizing the hand acupressure treatment based on the user’s age, gender, and health condition.

[0041] Further, objects and advantages of the present invention will be apparent from a study of the following portion of the specification, the claims, and the attached drawings.
Detailed description of drawings:
[0042] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate an embodiment of the invention, and, together with the description, explain the principles of the invention.

[0043] FIG. 1 illustrates a schematic view of an artificial intelligence (AI) powered acupressure therapeutic device, in accordance to an exemplary embodiment of the invention.

[0044] FIG. 2 illustrates a perspective view of a glove of the artificial intelligence (AI)-powered acupressure therapeutic device, in accordance to an exemplary embodiment of the invention.

[0045] FIG. 3 illustrates a schematic view of an inner surface of the glove of the artificial intelligence (AI)-powered acupressure therapeutic device, in accordance to an exemplary embodiment of the invention.

[0046] FIG. 4A illustrates an X-ray image of a user’s hand, in accordance to an exemplary embodiment of the invention.

[0047] FIG. 4B illustrates a pictorial representation of identified acupoints on the user’s hand, in accordance to an exemplary embodiment of the invention.

[0048] FIG. 5 illustrates a flowchart of a method for operating the artificial intelligence (AI) powered acupressure therapeutic device, in accordance to an exemplary embodiment of the invention.
Detailed invention disclosure:
[0049] Various embodiments of the present invention will be described in reference to the accompanying drawings. Wherever possible, same or similar reference numerals are used in the drawings and the description to refer to the same or like parts or steps.

[0050] The present disclosure has been made with a view towards solving the problem with the prior art described above, and it is an object of the present invention to provide an artificial intelligence (AI) powered acupressure therapeutic device 100 that provides a highly customizable, accurate, and personalized acupressure experience to the unique characteristics of each user, thereby enhancing the effectiveness and user satisfaction in traditional healing practices.

[0051] According to one exemplary embodiment of the invention, FIG. 1 refers to a schematic view of the artificial intelligence (AI) powered acupressure therapeutic device 100. The acupressure therapeutic device 100 uses X-ray imaging to provide unmatched precision in acupoint identification, thereby enhancing acupoint accuracy and ensuring effective acupressure stimulation. The acupressure therapeutic device 100 provides a personalized approach to acupressure therapy, which enhances therapeutic outcomes and improve patient experiences. The acupressure therapeutic device 100 seamlessly blends traditional Chinese medicine practices with modern technology, providing users with a convenient and effective acupressure therapy solution.

[0052] The acupressure therapeutic device 100 comprises a housing 102 defining a chamber 103, in specific the housing 102 comprises an opening 107 for allowing a user’s hand. In one embodiment herein, the acupressure therapeutic device 100 comprises an X-ray imaging unit 104, a biometric sensor 108, a display unit 110, a glove 112, and an artificial intelligence (AI) control unit 128.

[0053] In one embodiment herein, the X-ray imaging unit 104 positioned within the housing 102. The X-ray imaging unit 104 comprises an X-ray film 105 and an X-ray scan 106. The X-ray film 105 and an X-ray scan 106 configured to capture an X-ray image of a user’s hand.

[0054] In one embodiment herein, the biometric sensor 108 is positioned to the housing 102. The biometric sensor 108 is configured to detect at least one finger print of the user to log-in and thereby recognizing hand and palm of the user upon receiving the at least one finger print.

[0055] In one embodiment herein, the display unit 110 is positioned to the outer portion of the housing 102. In specific, the display unit 110 is configured to allow the user to enter login credentials and other inputs through a touch screen. The display unit 110 is configured to display the acupressure points to the user.

[0056] In one embodiment herein, the glove 112 is disposed within the chamber 103. The glove 112 is configured to receive the user’s hand through the opening 107 and preform the hand acupressure by applying pressure to acupoints on the user’s hand. The glove 112 is attached with a connecting member 129 that is connected to the housing 102 internally, for regulating the movement of the glove 112 while performing acupressure.

[0057] In one embodiment herein, the artificial intelligence (AI) control unit 128 positioned on the top portion of the glove 112 and is configured to be in communication with a user interface through a wireless network. The user can be notified the hand acupressure process through the user interface. The AI control unit 128 is configured to receive user’s inputs through the touch screen of the display unit 110. The AI control unit 128 is configured to store data related to hand acupressure procedures, user credentials such as individuals health data, biometrics in a database and record the data related to component activation.

[0058] The AI control unit 128 is configured to leverage user’s health data in order to determine the beneficial time for acupressure sessions based on the type of disease. The AI control unit 128 is configured to enable user to receive notifications through the user interface via the wireless network. The AI control unit 128 is configured to provide guidance to the user regarding the duration and frequency of acupressure sessions tailored for treating specific diseases.

[0059] In one embodiment herein, the AI control unit 128 is configured to process the captured X-ray image through at least one neural network for identifying user’s acupoints. The AI control unit 128 is configured to customize acupressure treatment by considering factors like gender and age to prevent excessive pressure application. In one embodiment herein, the acupressure therapeutic device 100 comprises a power source for supplying electrical power to all the components.

[0060] According to another exemplary embodiment of the invention, FIG. 2 refers to a perspective view of the glove 112 of the acupressure therapeutic device 100. In one embodiment herein, the glove 112 having a palm portion and a back portion disposed within the housing 102 for performing hand acupressure on one or more acupoints of the user. The glove 112 having a plurality of fingers portions and a thumb portion, defining a volume to receive a user’s hand. The glove 112 comprises a hand portion arranged to receive the hand of a wearer and to which the finger portions and thumb portion are attached, the hand portion including an opening through which the hand, fingers and thumb of the wearer may be inserted into the glove 112. The hand portion is arranged to extend continuously around the hand of a wearer.

[0061] In one embodiment herein, the opening of the glove 112 is removably attached with a strap member 113 that is configured to be adjusted and allow the user to place and remove hand from the glove 112. The strap member 113 is detachably positioned with a snug fit, which allows the user to easily slide the hand into the glove 112. In one embodiment herein, the glove 112 is designed with a specialized rubber material that possesses elasticity and flexibility. The material used in the glove 112 is compatible with X-ray scanning technology, facilitating clear imaging. In one embodiment herein, the glove 112 is tailored to snugly fit the user's hand, covering approximately one-third of the middle section of the hand, including the wrist area, specifically designed for the application of acupressure on the hand.

[0062] According to another exemplary embodiment of the invention, FIG. 3 refers to a schematic view of an inner surface of the glove 112 of the acupressure therapeutic device 100. In one embodiment herein, the glove 112 is designed with plurality of layers, which includes a first layer 116, a second layer 120 and a third layer 124.

[0063] In one embodiment herein, the first layer 116 is configured with one or more of protrusions 118 formed on an inner surface of the glove 112, which is configured to be actuated for applying the pressure on the acupoints of the user’s hand. The plurality of protrusions 118 having a smooth and rounded surface for distributing the pressure while providing comfort to the user.

[0064] In one embodiment herein, the second layer 120 is comprises an electro-active actuator 114 operably positioned within the glove 112. The electro-active actuator 114 is configured to activate the glove 112 automatically and perform hand acupressure based on the different hand size of the user.

[0065] The electro-active actuator 114 is configured to control movements of the plurality of protrusions 118 based on user’s inputs for preforming the hand acupressure and adjust position of the user’s hand and fingers dynamically during the hand acupressure.

[0066] In one embodiment herein, the electro-active actuator 114 comprises plurality of electro-active acupoint elements 122, an electro-active line 126. In one embodiment herein, the plurality of electro-active acupoint elements 122 is configured to be operated for enabling and controlling the movements of each protrusion 118, respectively. In one embodiment herein, the AI control unit 128 is configured to change position of the plurality of electro-active acupoint elements 122 based on the hand size of the user during hand acupressure.

[0067] In one embodiment herein, the electro-active line 126 in communication with the plurality of electro-active acupoint elements 122 configured to change user’s hand unique contours, adjust the user’s hand and fingers dynamically, thereby controlling firmness or flexibility during the hand acupressure.

[0068] In one embodiment herein, the third layer 124 is configured with one or more pressure sensors 125. The one or more pressure sensors 125 are disposed on the electro-active actuator 114 within the inner surface of the glove 112. In one embodiment herein, the one or more pressure sensors 125 configured to detect and maintain optimal pressure applying on the each protrusion 118 of the glove 112.

[0069] According to another exemplary embodiment of the invention, FIG. 4A refers to the X-ray image 400 of the user’s hand. In one embodiment herein, the AI powered acupressure therapeutic device 100 initiates by capturing an X-ray image of the user's hand using the integrated X-ray imaging unit 104. The X-ray imaging unit 104 comprises an X-ray tube, a collimator, and an X-ray film. The X-ray tube generates X-rays, which are directed towards the user's hand by the collimator, focusing the beam on the hand. The X-rays pass through the hand and are absorbed to varying degrees depending on the tissue density, creating an image on the X-ray film that reveals the bones and soft tissues of the hand. X-rays are able to penetrate through gloves and provide clear images of the bones and other structures in the hand.

[0070] In one embodiment herein, the user should insert their name on the display unit 110 to their hand X-ray image upon X-ray scan. The AI powered acupressure therapeutic device 100 retains and processes user hand data when they input their fingerprint on the biometric sensor 108 during subsequent uses. With this, the users may utilize a single X-ray image for hand acupoint detection, reducing X-ray exposure and making it suitable for multiple individuals. When multiple user’s login to a device, the system captures and stores X-ray images of each user's hand and palm size. The captured images undergo processing using specialized algorithms and software. This software recognizes and isolates key hand points such as the palm, fingers, and joints, extracting specific data points relevant to each user's hand structure. The extracted information, including hand measurements, palm size, finger lengths, joint angles, or any other identifiable hand characteristics, is then encoded and securely stored within a central control unit or database.

[0071] According to another exemplary embodiment of the invention, FIG. 4B refers to a pictorial representation 402 of identified acupoints on the user’s hand. The acupoints on the user’s hand represent the connection with various organs in human body. Based on the information provided by the user regarding their ailment or health concern, the AI control unit 128 recommends a specific period of time or intervals for performing acupressure. For instance, if the user indicates a relief from a particular disease conditions such as digestive disorders, Insomnia, respiratory conditions and any other conditions. Then the AI control unit 128 will analyze the information with pre input data and suggest a recommended timeframe for applying acupressure.

[0072] In one embodiment herein, the AI control unit 128 offers optimal timing recommendations for specific acupressure treatments, based on specific health conditions. The incorporation of user-specific data, such as palm size obtained through the X-ray scan, enhances a significant level of customization to the acupressure therapy. As everyone's hand and palm sizes are unique, tailoring the pressure application on acupoints based on individual characteristics ensures a personalized and comfortable experience for each user. This adaptability to different users not only enhances the effectiveness of the acupressure therapy but also contributes to user’s satisfaction.

[0073] In one embodiment herein, the AI control unit 128 analyzes the user hand and palm X-ray image and their related acupressure points through the neural network. In one exemplary embodiment, if user enters the anxiety and depression on the system display, then the AI control unit 128 will analyze the specific palm or hand acupressure point on related user palm and hand X-ray image size and performs the hand acupressure on the glove 112.

[0074] According to another exemplary embodiment of the invention, FIG. 5 refers to a flowchart 500 of a method for operating the artificial intelligence (AI) powered acupressure therapeutic device 100. At step 502, the biometric sensor 108 receives the least one finger print of the user for registering and enabling the artificial intelligence (AI) powered acupressure therapeutic device 100 to access the stored acupressure preferences and treatment history of the user.

[0075] At step 504, the user places at least one hand in the glove 112 and the user activates the X-ray imaging unit 104 by the user through the display unit 110 upon finger print identification for capturing the X-ray image of the at least one hand.

[0076] At step 506, the artificial intelligence (AI) control unit 128 possesses the captured X-ray image for identifying the user’s acupoints using at least one neural network.

[0077] At step 508, the AI control unit 128 activates the electro-active actuator 114 to control movements of the plurality of protrusions 118 based on user’s inputs for preforming the hand acupressure automatically based on the different hand size of the user.

[0078] At step 510, the electro-active line 126 in communication with the plurality of electro-active acupoint elements 122 is activated to change user’s hand unique contours, adjust the user’s hand and fingers dynamically, thereby controlling firmness or flexibility during the hand acupressure.

[0079] Further at step 512, the one or more pressure sensors 125 detects the pressure applied on each protrusion 118 of the glove 112, thereby ensuring optimal acupressure stimulation during the hand acupressure and customizing the hand acupressure treatment based on the user’s age, gender, and health condition.

[0080] Numerous advantages of the present disclosure may be apparent from the discussion above. In accordance with the present disclosure, an artificial intelligence (AI) powered acupressure therapeutic device 100 is disclosed. The proposed invention provides the artificial intelligence (AI) powered acupressure therapeutic device 100 that provides a highly customizable, accurate, and personalized acupressure experience to the unique characteristics of each user, thereby enhancing the effectiveness and user satisfaction in traditional healing practices.

[0081] The artificial intelligence (AI)-powered acupressure therapeutic device 100 uses X-ray imaging to provide unmatched precision in acupoint identification, thereby enhancing acupoint accuracy and ensuring effective acupressure stimulation. The artificial intelligence (AI)-powered acupressure therapeutic device 100 uses electro active polymer (EAP) acupoints 122 to deliver consistent and controlled pressure to each acupoint, thereby eliminating the variability of manual acupressure techniques. The artificial intelligence (AI)-powered acupressure therapeutic device 100 uses an artificial intelligence (AI) control unit 128 to personalize acupressure treatments by considering individual needs, preferences, and treatment history.

[0082] The artificial intelligence (AI)-powered acupressure therapeutic device 100 provides a personalized approach to acupressure therapy, which enhances therapeutic outcomes and improve patient experiences. The artificial intelligence (AI)-powered acupressure therapeutic device 100 seamlessly blends traditional Chinese medicine practices with modern technology, providing users with a convenient and effective acupressure therapy solution.

[0083] It will readily be apparent that numerous modifications and alterations can be made to the processes described in the foregoing examples without departing from the principles underlying the invention, and all such modifications and alterations are intended to be embraced by this application.
, Claims:CLAIMS:
I/We Claim:
1. An artificial intelligence (AI) powered acupressure therapeutic device (100), comprising:
a housing (102) defining a chamber (103), wherein said housing (102) comprises an opening (107) for allowing a user’s hand;
a glove (112) disposed within said chamber (103), wherein said glove (112) is configured to receive the user’s hand through said opening (107) and preform a hand acupressure by applying pressure to acupoints on the user’s hand,
wherein said glove (112) comprises:
plurality of protrusions (118) formed on an inner surface of said glove (112), wherein said plurality of protrusions (118) is configured to be actuated for applying the pressure on the acupoints of the user’s hand;
an electro-active actuator (114) operably positioned within said glove (112), wherein said electro-active actuator (114) is configured to activate said glove (112) automatically and perform hand acupressure based on the different hand size of the user,
said electro-active actuator (114) is configured to control movements of the plurality of protrusions (118) based on user’s inputs for preforming the hand acupressure and adjust position of the user’s hand and fingers dynamically during the hand acupressure,
wherein said electro-active actuator (114) comprises:
plurality of electro-active acupoint elements (122) configured to be operated for enabling and controlling the movements of each protrusion (118), respectively; and
an electro-active line (126) in communication with the plurality of electro-active acupoint elements (122) configured to change user’s hand unique contours, adjust the user’s hand and fingers dynamically, thereby controlling firmness or flexibility during the hand acupressure;
one or more pressure sensors (125) disposed on said electro-active actuator (114) within the inner surface of said glove (112), wherein said one or more pressure sensors (125) configured to detect and maintain optimal pressure applying on the each protrusion (118) of the glove (112); and
an artificial intelligence (AI) control unit (128) positioned on the top portion of the glove (112) and is configured to be in communication with an user interface through a wireless network, wherein the AI control unit (128) is configured to:
receive user’s inputs through the touch screen of the display unit (110);
store data related to hand acupressure procedures, user credentials such as individuals health data, biometrics in a database and record the data related to component activation; and
leverage user’s health data in order to determine the beneficial time for acupressure sessions based on the type of disease.
2. The artificial intelligence (AI) powered acupressure therapeutic device (100) as claimed in claim 1, wherein said AI powered acupressure therapeutic device (100) comprises:
an X-ray imaging unit (104) positioned within the housing (102), wherein the X-ray imaging unit (104) comprises:
an X-ray film (105) and an X-ray scan (106) configured to capture an X-ray image of a user’s hand;
a biometric sensor (108) positioned to the housing (102), wherein the biometric sensor (108) is configured to detect at least one finger print of the user to log-in, thereby recognizing hand and palm of the user upon receiving the at least one finger print; and
a display unit (110) positioned to the outer portion of the housing (102), wherein the display unit (110) is configured to allow the user to enter login credentials and other inputs through a touch screen, wherein said display unit (110) is configured to display the acupressure points to the user.
3. The artificial intelligence (AI) powered acupressure therapeutic device (100) as claimed in claim 1, wherein the AI control unit (128) is configured to:
enable user to receive notifications through the user interface via the wireless network; and
provide guidance to the user regarding the duration and frequency of acupressure sessions tailored for treating specific diseases.
4. The artificial intelligence (AI) powered acupressure therapeutic device (100) as claimed in claim 1, wherein the AI control unit (128) is configured to process the captured X-ray image through at least one neural network for identifying user’s acupoints.
5. The artificial intelligence (AI) powered acupressure therapeutic device (100) as claimed in claim 1, wherein the AI control unit (128) is configured to customize acupressure treatment by considering factors like gender, age and health condition of the user to prevent excessive pressure application.
6. The artificial intelligence (AI) powered acupressure therapeutic device (100) as claimed in claim 1, wherein the glove (112) is attached with a connecting member (129) that is connected to the housing (102) internally, for regulating the movement of the glove (112) while performing acupressure.
7. The artificial intelligence (AI) powered acupressure therapeutic device (100) as claimed in claim 1, wherein the opening of the glove (112) is removably attached with a strap member (113) having a snug fit that is configured to be adjusted and allow the user to place and remove hand from the glove (112).
8. The artificial intelligence (AI) powered acupressure therapeutic device (100) as claimed in claim 1, wherein the glove (112) is designed with a specialized rubber material that possesses elasticity and flexibility.
9. The artificial intelligence (AI) powered acupressure therapeutic device (100) as claimed in claim 1, wherein the artificial intelligence (AI) powered acupressure therapeutic device (100) comprises a power source for supplying electrical power to all the components.
10. A method for operating an artificial intelligence (AI) powered acupressure therapeutic device (100), comprising:
receiving, through a biometric sensor (108), at least one finger print of a user for registering and enabling the AI powered acupressure therapeutic device (100) to access stored acupressure preferences and treatment history of the user;
placing at least one hand of the user in a glove (112) and activating an X-ray imaging unit (104) by the user through a display unit (110) upon finger print identification for capturing an X-ray image of the at least one hand;
processing, by an artificial intelligence (AI) control unit (128), the captured X-ray image for identifying the user’s acupoints using at least one neural network;
activating, by the AI control unit (128), an electro-active actuator (114) to control movements of plurality of protrusions (118) based on user’s inputs for preforming the hand acupressure automatically based on the different hand size of the user;
activating an electro-active line (126) in communication with the plurality of electro-active acupoint elements (122), to change user’s hand unique contours, adjust the user’s hand and fingers dynamically, thereby controlling firmness or flexibility during the hand acupressure; and
detecting, by one or more pressure sensors (125), the pressure applied on each protrusion (118) of the glove (112), thereby ensuring optimal acupressure stimulation during the hand acupressure and customizing the hand acupressure treatment based on the user’s age, gender, and health condition.

Documents

Application Documents

# Name Date
1 202441004177-STATEMENT OF UNDERTAKING (FORM 3) [20-01-2024(online)].pdf 2024-01-20
2 202441004177-REQUEST FOR EXAMINATION (FORM-18) [20-01-2024(online)].pdf 2024-01-20
3 202441004177-REQUEST FOR EARLY PUBLICATION(FORM-9) [20-01-2024(online)].pdf 2024-01-20
4 202441004177-POWER OF AUTHORITY [20-01-2024(online)].pdf 2024-01-20
5 202441004177-FORM-9 [20-01-2024(online)].pdf 2024-01-20
6 202441004177-FORM FOR SMALL ENTITY(FORM-28) [20-01-2024(online)].pdf 2024-01-20
7 202441004177-FORM 18 [20-01-2024(online)].pdf 2024-01-20
8 202441004177-FORM 1 [20-01-2024(online)].pdf 2024-01-20
9 202441004177-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [20-01-2024(online)].pdf 2024-01-20
10 202441004177-EVIDENCE FOR REGISTRATION UNDER SSI [20-01-2024(online)].pdf 2024-01-20
11 202441004177-EDUCATIONAL INSTITUTION(S) [20-01-2024(online)].pdf 2024-01-20
12 202441004177-DRAWINGS [20-01-2024(online)].pdf 2024-01-20
13 202441004177-DECLARATION OF INVENTORSHIP (FORM 5) [20-01-2024(online)].pdf 2024-01-20
14 202441004177-COMPLETE SPECIFICATION [20-01-2024(online)].pdf 2024-01-20
15 202441004177-FER.pdf 2025-07-14
16 202441004177-OTHERS [06-09-2025(online)].pdf 2025-09-06
17 202441004177-FORM-5 [06-09-2025(online)].pdf 2025-09-06
18 202441004177-FORM-26 [06-09-2025(online)].pdf 2025-09-06
19 202441004177-FORM 3 [06-09-2025(online)].pdf 2025-09-06
20 202441004177-FER_SER_REPLY [06-09-2025(online)].pdf 2025-09-06
21 202441004177-EVIDENCE FOR REGISTRATION UNDER SSI [06-09-2025(online)].pdf 2025-09-06
22 202441004177-ENDORSEMENT BY INVENTORS [06-09-2025(online)].pdf 2025-09-06
23 202441004177-EDUCATIONAL INSTITUTION(S) [06-09-2025(online)].pdf 2025-09-06
24 202441004177-DRAWING [06-09-2025(online)].pdf 2025-09-06
25 202441004177-COMPLETE SPECIFICATION [06-09-2025(online)].pdf 2025-09-06
26 202441004177-CLAIMS [06-09-2025(online)].pdf 2025-09-06
27 202441004177-ABSTRACT [06-09-2025(online)].pdf 2025-09-06
28 202441004177-US(14)-HearingNotice-(HearingDate-10-10-2025).pdf 2025-09-15
29 202441004177-FORM-26 [08-10-2025(online)].pdf 2025-10-08
30 202441004177-Correspondence to notify the Controller [08-10-2025(online)].pdf 2025-10-08
31 202441004177-Written submissions and relevant documents [23-10-2025(online)].pdf 2025-10-23
32 202441004177-PatentCertificate14-11-2025.pdf 2025-11-14
33 202441004177-IntimationOfGrant14-11-2025.pdf 2025-11-14

Search Strategy

1 202441004177_SearchStrategyNew_E_SearchHistory-202441004177E_09-07-2025.pdf

ERegister / Renewals