Abstract: A mobility speed evaluation system, comprising a cuboidal housing 101 having multiple storage chamber 102, an application module to allow a user to input their biodata for their running or walking, a database stores biodata in individual profiles for various users, an artificial intelligence-based imaging unit 104 via a primary ball and socket joint 105 on a primary sliding unit 106 to monitor positioning of the user while walking or running, a LIDAR (light detection and ranging) sensor to monitor speed of the user, a holographic projection unit 107 for projecting instruction to the user by forming 3D (three dimensional) illustrations for guiding the user to improve the user’s walking or running form, a wristband 110, having an FBG (Fibre Bragg Grating) sensor for monitoring heart rate and blood pressure of the user, a speaker 111 to provide alert to the user to take medical assistance.
Description:FIELD OF THE INVENTION
[0001] The present invention relates to a mobility speed evaluation system that is capable of providing a comprehensive solution to evaluate and improves a user’s mobility, specifically walking and running by tracking the user’s movement, providing real-time feedback, monitoring vital signs and offer personalized data analysis for improving athletic performance and prevents the user from potential injuries, thereby enhanced overall fitness and well-being.
BACKGROUND OF THE INVENTION
[0002] In the realm of sports and fitness, optimal mobility is a crucial factor in achieving peak performance, preventing injuries, and enhancing overall well-being. Walking and running, two of the most fundamental forms of human locomotion, require precise technique, efficient movement patterns, and effective training methods to unlock individual potential. Whether an elite athlete or a recreational enthusiast, understanding and improving mobility is essential for enhancing speed, agility and endurance.
[0003] Traditionally, mobility assessment has significant limitations. Conventional approaches rely on manual observation, video analysis, wearable devices, and treadmill-based systems, which are often subjective, time-consuming, and restrictive. These methods lack comprehensive technique analysis, personalized feedback, and real-time monitoring of vital signs, potentially leading to injuries and health complications. The drawbacks of traditional methods include subjectivity, limited feedback, inconvenience, and safety concerns. Moreover, these methods often neglect individual differences, adopting a one-size-fits-all approach.
[0004] US6604419B2 discloses a method and apparatus for calculating, presenting, recalling and recording the maximum running speed of a user over a prescribed distance in miles per hour or meters per second. The result is shown in digital and iconic form on a liquid crystal display (LCD). The apparatus incorporates a micro-controller, a LCD, a motion sensor, a sound generator, press switches, and light emitting diodes. The motion sensor is used to generate a signal, in response to external motion, which is input to the micro-controller for use in calculating the speed in accordance with a prescribed formula. Upon completion of running over a fixed time period or distance, a message is displayed on the LCD to indicated the maximum speed achieved by the user during an interval of the fixed time and over the prescribed distance. The apparatus may be adapted for use on shoes, a user's wrists, or the like, for the purpose of encouraging the user to run as fast as possible, and to ensure safety of the user at night.
[0005] US6166658A discloses a speed limit control system involving road monitors and speed limit controls in the vehicle which receive signals from road transmitters installed in illuminated signs such as highway signs, traffic lights, rural signs, shopping mall signs, and residential street signs that can automatically lower and restrain the vehicle to the posted maximum MPH speed limit.
[0006] Conventionally, there exists many systems that are capable of monitoring walking and running state of user, however these existing systems are incapable of providing personalized coaching to improve speed. In addition, these existing system also fail in preventing the user from potential health risks associated with the running exercise.
[0007] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a system that requires to be capable of improving user’s mobility by determining walking and running speed of the user. Furthermore, the developed system also needs to be potent enough of mitigating any potential risk faced by the user meanwhile walking or running by continuously monitoring health vital signs of the user.
OBJECTS OF THE INVENTION
[0008] The principal object of the present invention is to overcome the disadvantages of the prior art.
[0009] An object of the present invention is to develop a system that is capable of analyzing user’s walking or running state by tracking movement, providing real-time feedback and personalized coaching for improving speed, efficiency and overall performance.
[0010] Another object of the present invention is to develop a system that is capable of alerting the user regarding potential health risks by monitoring vital signs such as heart rate and blood pressure for preventing health complications, thereby ensuring that the user gets timely medical attention.
[0011] Yet another object of the present invention is to develop a system that is capable of collecting and analyzing user data by providing data-driven recommendations and track progress for facilitating informed decision-making and optimized training.
[0012] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.
SUMMARY OF THE INVENTION
[0013] The present invention relates to a mobility speed evaluation system that is capable of offering a comprehensive mobility assessment and enhancement solution to a user by utilizing movement tracking, real-time feedback, vital sign monitoring, and personalized data analysis to improve walking and running techniques, thereby prevent injuries, and promote overall well-being.
[0014] According to an embodiment of the present invention, a mobility speed evaluation system, comprising a cuboidal housing having multiple storage chambers developed to be installed over a ground surface, a pair of tracked wheels installed beneath the housing for smooth and efficient maneuvering of the housing, an application module linked with the user’s computing to input their biodata for their running or walking, a database with the microcontroller that stores biodata in individual profiles for various users and an artificial intelligence-based imaging unit provided on the housing via a primary ball and socket joint on a sliding unit to capture multiple images of proximity of the user to monitor positioning of the user while walking or running.
[0015] According to another embodiment of the present invention, the proposed system further comprises of a LIDAR (light detection and ranging) sensor to monitor speed of the user, a holographic projection unit installed on the housing with the help of a ball and socket joint, on a secondary sliding unit for projecting instruction to the user by forming 3D (three dimensional) illustrations for guiding the user to improve the user’s walking or running form, a wristband, which is installed with an FBG (Fibre Bragg Grating) sensor for monitoring heart rate and blood pressure of the user while the user in motion, a speaker installed on the housing to provide alert to the user to take medical assistance and a battery is associated with the system to supply power to electrically powered components which are employed herein.
[0016] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.
BRIEF DESCRIPTION OF THE DRAWINGS
[0017] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates a perspective view of a cuboidal housing linked to a wristband associated with a mobility speed evaluation system.
DETAILED DESCRIPTION OF THE INVENTION
[0018] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.
[0019] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.
[0020] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.
[0021] The present invention relates to a mobility speed evaluation system that is capable of providing an efficient mobility evaluation and improvement solution to a user by tracking user movement, delivering real-time feedback, monitoring vital signs, and offering personalized data analysis to optimize athletic performance, thereby prevent injuries, and enhance overall fitness.
[0022] Referring to Figure 1, a perspective view of a cuboidal housing linked to a wristband associated with a mobility speed evaluation system is illustrated, comprising a cuboidal housing 101 having multiple storage chamber 102 and a pair of tracked wheels 103 installed underneath the housing 101, an artificial intelligence-based imaging unit 104, installed on the housing 101, by means of a primary ball and socket joint 105 on a primary sliding unit 106 provided on the housing 101, a holographic projection unit 107 mounted, by means of a ball and socket joint 108, on a secondary sliding unit 109 disposed on the housing 101, a wristband 110 associated with the system and configured with a speaker 111.
[0023] The system disclosed herein, comprises of a cuboidal housing 101 serving as the foundation for the entire system and designed to place over a ground surface. The housing 101 is specifically having multiple storage chamber 102, providing ample space, wherein a pair of tracked wheels 103 installed beneath the housing 101, designed for smooth and efficient locomotion of the housing 101. The wheels 103 enable the system to move in synchronization with the user, ensuring accurate mobility tracking and analysis.
[0024] The tracked wheels 103 provide stable and consistent movement, enhanced traction and control, reduced vibration and noise, and increased durability and reliability. The track wheels 103 consist of rugged threads or cleats that provide traction and prevent slipping of the housing 101. The wheels 103 are connected to an electric motor which propels the housing 101 forward or backward. This allows the housing 101 to move efficiently across surfaces.
[0025] The process begins where the user provides input their biodata over an application module for their running or walking. The application module seamlessly connects the user's computing unit to a microcontroller of the system, ensuring real-time data synchronization and accurate analysis. The application module allows users to input vital biodata, including personal details, medical history, fitness goals, and health metrics. This comprehensive data collection enables users to track progress, monitor changes, and receive tailored recommendations for improvement.
[0026] After providing input through the computing unit, a database with the microcontroller that stores biodata in individual profiles for various users. The database is structured to accommodate multiple profiles, each containing unique user identification information, inputted biodata, mobility and performance data, progress tracking, and personalized recommendations. The database provides secure and organized storage, easy access and retrieval, personalized data analysis, and tailored recommendations for improvement. Each user profile serves as a comprehensive repository of their biodata, enabling centralized and secure data management.
[0027] An artificial intelligence-based imaging unit 104 provided on the housing 101 via a primary ball and socket joint 105 on a primary sliding unit 106 to capture multiple images of proximity of the user to monitor positioning of the user while walking or running. The artificial intelligence based imaging unit 104 is constructed with a camera lens and a processor, wherein the camera lens is adapted to capture a series of images of the surrounding present in proximity to the housing 101.
[0028] The processor carries out a sequence of image processing operations including pre-processing, feature extraction, and classification. The image captured by the imaging unit 104 is real-time images of the housing’s 101 surrounding. The artificial intelligence based imaging unit 104 transmits the captured image signal in the form of digital bits to the microcontroller. The microcontroller upon receiving the image signals compares the received image signal with the pre-fed data stored in a database and constantly determines positioning of the user while walking or running. Based on the detected positioning of the user’s walking or running, the microcontroller actuates the track wheels 103 to move the housing 101 in synchronization with the user for monitoring the user’s mobility.
[0029] Where the microcontroller keep adjust the imaging unit 104 via the primary ball and socket joint 105 over the primary sliding unit 106 in accordance with the user’s movement and proximity during walking or running detected by the imaging unit 104. The primary ball and socket joint 105 consist of a ball-shaped element that fits into a socket, which provides rotational freedom in various directions. The ball is connected to a motor, typically a servo motor which provides the controlled movement.
[0030] The imaging unit 104 is attached to the socket of the primary ball and socket joint 105. The motor responds by adjusting the ball and socket joint 105 and rotates the ball in the desired direction, and this motion is transferred to the socket that holds the imaging unit 104. As the ball and socket joint 105 move, it provides the necessary angular movement to the imaging unit 104 for moving as per the user’s movement.
[0031] Simultaneously, the primary sliding unit 106 consists of a motor, and a rail unit integrated with ball bearings to allow smooth linear movement. As the motor rotates the rotational motion of the motor is converted into linear motion through a pair of belts and linkages. This linear motion provides a stable track and allows the smooth translation to the imaging unit 104 sideways for effective monitoring of the user to provide relevant guidance. When the user detects the positioning of the user’s walking and running and based on this data, the primary ball and socket joint 105 and primary sliding unit 106 adjust the direction accordingly as per the detected position.
[0032] While the user walking or running, a LIDAR (light detection and ranging) sensor get activated by the microcontroller to monitor speed of the user. The LiDAR sensor sends out rapid laser pulses in a sweeping motion. These pulses travel through the air and interact with the user. When the laser pulses encounter the tap handle, the laser bounces off from the user. The LiDAR sensor precisely measures the time it takes for these laser pulses to travel to the user and back to the sensor. This measurement is known as time-of-flight and as the LiDAR sensor continues to emit laser pulses and measure their time-of-flight, it creates a dense point cloud of data points. By combining the time-of-flight data from multiple laser beams at various angles, the LiDAR builds a detailed 3D (three-dimensional) map or point-of-cloud of the user’s waling or running. The microcontroller linked with the LiDAR sensor processes the 3D (three-dimensional) map and determines speed of the user while walking or running.
[0033] If while walking user detect to walking or running in inaccurate manner, then the microcontroller actuates a holographic projection unit 107 installed on the housing 101 with the help of a ball and socket joint 108, on a secondary sliding unit 109 for projecting instruction to the user by forming 3D (three dimensional) illustrations for guiding the user to improve the user’s walking or running form. On actuation of holographic projection unit 107 by the microcontroller, the light source emits various combination of lights towards the lens which is further portrayed in front of the user to project the virtual images of depicting an appropriate way to walk or run.
[0034] The system features a wristband 110, which is installed with an FBG (Fibre Bragg Grating) sensor for monitoring heart rate and blood pressure of the user while the user in motion. The FBG (Fiber Bragg Grating) sensor consists of a short segment of optical fiber with periodic variations in the refractive index along its length. These variations create a grating structure within the fiber. The periodic grating structure caused the fiber to reflect light at a specific wavelength known as the Bragg wavelength. The Bragg wavelength is sensitive to changes in the physical parameters affecting the fiber.
[0035] The FBG (Fiber Bragg Grating) sensor is designed to be sensitive to specific physical parameters, such as strain, temperature, or pressure and aid in measuring physiological parameters like heart rate, respiratory rate and muscle contraction. The FBG (Fiber Bragg Grating) sensor integrated into the housing 101 and placed in contact with the skin monitors the expansion and contraction of blood vessels associated with the user’s heartbeat. As the blood vessel expand and contract, they induce strain on the FBG (Fiber Bragg Grating) sensor, causing a shift in the Bragg wavelength. The processed data is then sent to the microcontroller for monitoring blood pressure and heart rate of the user.
[0036] When the detected heart rate and blood pressure are rises above the threshold limit, then the microcontroller actuates a speaker 111 installed on the housing 101 to provide alert to the user to take medical assistance. The speaker 111 is capable of producing clear and natural sound and is capable of adjusting its volume based on ambient noise levels. The speaker 111 consists of audio information, which is in the form of recorded voice, synthesized voice, or other sounds, generated or stored as digital data.
[0037] This data is often in the form of an audio file. The digital audio data is sent to a digital-to-analog converter (DAC). The DAC converts the digital data into analog electrical signals. The analog signal is often weak and needs to be amplified. An amplifier boosts the strength to a level so that the speaker 111 drives it effectively. The amplified audio signal is then sent to the speaker 111. The core of the speaker 111 is an electromagnet attached to a flexible cone. These sound waves travel through the air as pressure waves and are picked by the user’s ear, wherein a wireless communication unit installed with the housing 101 to allow the wireless communication with the medical professional.
[0038] A battery is associated with the system to supply power to electrically powered components which are employed herein. The battery is comprised of a pair of electrode named as a cathode and an anode. The battery uses a chemical reaction of oxidation/reduction to do work on charge and produce a voltage between their anode and cathode and thus produces electrical energy that is used to do work in the system.
[0039] The present invention works best in following manner, where the cuboidal housing 101 as disclosed in the invention possesses multiple storage chamber 102 installed over the ground surface, the pair of tracked wheels 103 maneuvering of the housing 101. The user provides input biodata for their running or walking over the application module, then the database stores biodata in individual profiles for various users. Further, the artificial intelligence-based imaging unit 104 to capture multiple images of proximity of the user to monitor positioning of the user while walking or running and the LIDAR (light detection and ranging) sensor to monitor speed of the user and if the detected speed exceeds predefined limit, then microcontroller actuates the holographic projection unit 107 with the help of the ball and socket joint 108, on the secondary sliding unit 109 for projecting instruction to the user by forming 3D (three dimensional) illustrations for guiding the user to improve the user’s walking or running form. Herein, the wristband 110 having the FBG (Fibre Bragg Grating) sensor for monitoring heart rate and blood pressure of the user while the user in motion, the speaker 111 to provide alert to the user to take medical assistance and the battery to supply power to electrically powered components which are employed herein.
[0040] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , Claims:1) A mobility speed evaluation system, comprising:
i) a cuboidal housing 101 having a plurality of storage chambers 102 and a pair of tracked wheels 103 installed underneath said housing 101 for a locomotion of said housing 101;
ii) an artificial intelligence-based imaging unit 104, installed on said housing 101, by means of a primary ball and socket joint 105 on a primary sliding unit 106 provided on said housing 101, and integrated with a processor for recording and processing images in vicinity of said housing 101 to determine position of a walking or running user to trigger said microcontroller to actuate said tracked wheels 103 in view of translating said housing 101 in synchronisation with said user for recording said user’s mobility;
iii) a LIDAR (light detection and ranging) sensor embedded on said housing 101 detects a speed of said user;
iv) a holographic projection unit 107 mounted, by means of a ball and socket joint 108, on a secondary sliding unit 109 disposed on said housing 101 to project instructions to said user in form of 3D (three dimensional) illustrations to aid said user in improving their walking or running form; and
v) a wristband 110 having an FBG (Fibre Bragg Grating) sensor to detect heart rate and blood pressure of said user to trigger said microcontroller to actuate a speaker 111 mounted on said housing 101 to generate an audio alert regarding availing medical assistance if said detected heart rate and blood pressure are outside of predetermined heart rate and blood pressure ranges, respectively.
2) The system as claimed in claim 1, wherein a wireless communication unit provided on said housing 101 enables said wireless communication with said remotely located medical professional.
3) The system as claimed in claim 1, wherein an application module configured to connected a computing unit of user to said microcontroller, enables user to input biodata to maintain record.
4) The system as claimed in claim 1, wherein a database linked with said microcontroller stores said biodata in form of individual profiles of various users.
| # | Name | Date |
|---|---|---|
| 1 | 202421090693-STATEMENT OF UNDERTAKING (FORM 3) [21-11-2024(online)].pdf | 2024-11-21 |
| 2 | 202421090693-REQUEST FOR EXAMINATION (FORM-18) [21-11-2024(online)].pdf | 2024-11-21 |
| 3 | 202421090693-REQUEST FOR EARLY PUBLICATION(FORM-9) [21-11-2024(online)].pdf | 2024-11-21 |
| 4 | 202421090693-PROOF OF RIGHT [21-11-2024(online)].pdf | 2024-11-21 |
| 5 | 202421090693-POWER OF AUTHORITY [21-11-2024(online)].pdf | 2024-11-21 |
| 6 | 202421090693-FORM-9 [21-11-2024(online)].pdf | 2024-11-21 |
| 7 | 202421090693-FORM FOR SMALL ENTITY(FORM-28) [21-11-2024(online)].pdf | 2024-11-21 |
| 8 | 202421090693-FORM 18 [21-11-2024(online)].pdf | 2024-11-21 |
| 9 | 202421090693-FORM 1 [21-11-2024(online)].pdf | 2024-11-21 |
| 10 | 202421090693-FIGURE OF ABSTRACT [21-11-2024(online)].pdf | 2024-11-21 |
| 11 | 202421090693-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [21-11-2024(online)].pdf | 2024-11-21 |
| 12 | 202421090693-EVIDENCE FOR REGISTRATION UNDER SSI [21-11-2024(online)].pdf | 2024-11-21 |
| 13 | 202421090693-EDUCATIONAL INSTITUTION(S) [21-11-2024(online)].pdf | 2024-11-21 |
| 14 | 202421090693-DRAWINGS [21-11-2024(online)].pdf | 2024-11-21 |
| 15 | 202421090693-DECLARATION OF INVENTORSHIP (FORM 5) [21-11-2024(online)].pdf | 2024-11-21 |
| 16 | 202421090693-COMPLETE SPECIFICATION [21-11-2024(online)].pdf | 2024-11-21 |
| 17 | Abstract 1.jpg | 2024-12-10 |
| 18 | 202421090693-FORM-26 [03-06-2025(online)].pdf | 2025-06-03 |