Description:This present invention is easy to understand with reference to the detailed figures and descriptions set forth herein. Here, various embodiments have been discussed regarding the architecture and flow chart. Some embodiments of this invention, illustrating its features, will now be discussed, and the disclosed embodiments are merely exemplary of the invention that may embody in various forms.
In this technological world, stress becomes a very common problem faced by many adults, patients, youngsters and children. Reducing long-term stress can lower the risk for other conditions like heart disease, high blood pressure, depression and obesity. The massaging head will relax the central nervous system by stimulating the nerve endings in the head. It also improves blood flow and circulation, which is crucial to maintain a healthy body.
So the present invention provides a stress-relieving helmet to reduce the stress level of the user by improving blood circulation of the user on his/her head. Initially, when the user turns on the device, the DC motor starts to rotate the beads carrier. The EEG sensor embedded within the device senses the changes in the brain signal and passes the sensed signal to the AI unit. The AI unit detects the stress level of the user and passes the detected information to the controller. The controller will turn off the device automatically if the stress level is reduced.
The present invention shows the perspective view of the stress-relieving helmet (100), further detailed descriptions of the present invention are stated here in the attached drawings. Thus, the detailed embodiments of the present invention are disclosed here to describe the present invention.
In this embodiment of the present invention, as shown in figure 1, refers to the perspective view of the stress-reliving helmet (100), which comprises the power button (101) and EEG sensor (102).
[0033] The stress-relieving helmet is used to improve blood circulation on the user’s head to reduce the stress level of the user. The stress-relieving helmet is designed in the shape of the helmet so that the user can wear the device comfortably. The stress-relieving helmet comprises the beads carrier, DC motors, EEG sensor and controller. When the user presses the power button (101) of the device, the stress-relieving helmet will turn and the DC motors also start to rotate the beads carrier. The EEG sensor (102) is embedded within the stress-relieving helmet to sense the changes in the brain activity of the user. If the stress level of the user is reduced, then the controller turns off the device automatically. The user can also manually turn off the device.
[0034] In another embodiment of the present invention, as shown in figure 2(a), refers to the perspective view of the beads carrier (200)(a), which comprises the DC motor (201) and teeth sprocket (202).
[0035] The beads carrier of the stress-relieving helmet is made into two fabrics. The outer layer of the beads carrier is made of leather fabric and the inner layer of the

beads carrier is made of PVC (Polyvinyl Chloride) fabric. The beads carrier is placed over the fixed frame (203) and the fixed frame (203) is made in the shape of the inner shell of the helmet (in the shape of the skull). There are two fixed frames (203) in the stress-relieving helmet to carry the beads carrier. These fixed frames (203) are made in the material of aluminum. Multiple teeth sprockets (202) are placed over the inner layer (PVC fabric) of the beads carrier horizontally and multiple beads are placed over the outer layer (leather fabric) of the beads carrier vertically. The stress-relieving helmet consists of four DC motors (201), which are embedded in both sides of two fixed frames (203). The DC motors (201) rotate the beads carrier horizontally with the help of teeth sprockets (202).
[0036] Another embodiment of the present invention, as shown in Figure.2(b) refers to the perspective view of the beads carrier (complete layer) (200)(b).
[0037] The four DC motors are placed on the two corners of the two fixed frames to rotate the beads carrier smoothly. Each bead is placed at a certain interval so that it can roll on the head easily.
[0038] Another embodiment of the present invention, as shown in Figure.3 refers to the block diagram of the stress-reliving helmet (300), which comprises the beads carrier (302), EEG sensor (304), AI unit (305), and controller (306).
[0039] The power button (301) of the stress-relieving helmet is used to turn on or off the device (3011). The stress level reliever (302) is embedded within the stress-relieving helmet to relieve the stress level of the user, which consists of the beads carrier (303) and DC motors (304). The beads carrier (303) massages the head of

the user for reducing the stress level. Multiple beads are fixed vertically in the beads carrier (303) of the stress-relieving helmet. When the user turns on the stress-relieving helmet, the DC motors (304) rotate the beads carrier (3041) horizontally. The blood circulation on the head of the user will be increased when the beads of the stress-relieving helmet roll up on the head of the user. The stress-relieving helmet contains four DC motors (304), which are placed on the two corners of fixed frame 1 and fixed frame 2 to rotate the beads carrier (3041) smoothly. Once the beads carrier (303) turns on, the stress level detector (305) also turns on to monitor the stress level of the user.
[0040] The stress level detector (305) consists of an EEG sensor (306) and an AI unit (307). EEG sensor (306) embedded within the stress-relieving helmet senses the changes in the brain activities of the user (3061). The sensed brain activities of the user will be passed to the AI unit (307) to detect the stress level of the user (3071). The Artificial Intelligence (AI) unit (307) is the simulation of human intelligence processes by machines, but based on previous knowledge fed to it through the tuning process using the tuner as mentioned in figure.4. Here, the sensed brain activities of the user will be given as input to the AI unit (307). The AI unit (307) detects the stress level of the user (3071) based on the received signal from the EEG sensor (306).
[0041] The AI unit (307) passes the detected information to the controller (308). The controller (308) decides whether to turn off the stress-relieving helmet or not based on the detected information. If the stress level of the user is reduced, then the controller (308) will turn off the stress-relieving helmet automatically, or else, the

process will continue until the stress level is reduced. The user can also turn off the device manually.
[0042] Another embodiment of the present invention, as shown in Figure 4 refers to the block diagram of the AI unit (400), which comprises the arithmetic & logical unit (403) and tuner (405).
[0043] Initially, the EEG signal probe (401) embedded within the stress-relieving helmet senses the brain signal of the user and passes the brain signal (analog signal) to the analog-to-digital converter (402). The analog-to-digital converter (402) is used to convert the analog signal to digital data and passes the digital data to the multiplier circuit. The multiplier circuit multiplies the digital data and delayed data (Z-1), and passes the multiplied data to the arithmetic and logic unit (403). The arithmetic and logic unit (403) is used to add the product of the digital components received from the multiplier and weights (W), and stores the data in the memory (404). The memory (404) product of weight and arithmetic and logic data. The tuner (405) is used to adjust the weight data so that it can predict the stress level based on the given training library. The training library is a database that is prepared by collecting the EEG information of the subjects i.e. persons and the corresponding person's stress level through the questionnaire. The activation function (406) is used to adapt to the given training library, which is generally nonlinear in nature. After that, the detected stress level of the user will be passed to the controller (407) to decide whether to turn off the device or not. The controller (407) will turn off the device if the stress level of the user is reduced, or else, the process will continue
until the user gets relaxed. The user can also manually stop the device if he/she doesn't want to continue the process.
[0044] Another embodiment of the present invention, as shown in Figure 5 refers to the circuit diagram of the DC motor (500).
[0045] The battery (501) provided in the stress-relieving helmet is a rechargeable battery, which is used to provide electricity to the DC motors (503) as well as provides electricity to the EEG sensor and controller. The stress-relieving helmet has four DCmotors (503), which are used to rotate the beads carrier smoothly. When the user presses the power button (502) of the device, the battery provides electricity to four DC motors (503) to rotate the beads carrier.Another embodiment of the present invention, as shown in figure 6 refers to the circuit diagram of the controllable switch (600), which comprises the AI unit. The AI unit detects the stress level of the user and passes the detected information to the controller. The comparator present in the controller compares the preset value and the received value from the AI unit. If the received value is lower than the pre-set value (stress level is reduced), then the controllable switch turns off the stress-relieving helmet, which means the controller stops the operation of the motors. If the received value is higher than the pre-set value (stress level is not reduced), then the process will be continued until the stress level is reduced. , Claims:We claim:
1. A stress-relieving helmet (100) for predicting the stress level of the user and reducing the user’s stress level based on the predicted stress level that comprises:
a) a stress level detector (305) to detect the stress level of the user; and
b) a stress level reliever (302) to reduce the stress level of the user.
2. The stress-relieving helmet (100) as claimed in claim 1, wherein the said stress level detector (305), which consists of an EEG sensor (306) to sense the changes in the brain activities of the user and an AI unit (307) to detect and monitor the stress level of the user based on the sensed brain activities of the user throughout the massaging duration, and stops the stress-relieving helmet once the stress is relieved.
3. The stress-relieving helmet (100) as claimed in claim 1, wherein the said stress level reliever (302) reduces the stress level of the user, which consists of the beads carrier (303) massages the head of the user so that it can increase the blood circulation in the head of the user and the DC motors (304) to rotate the beads carrier smoothly on the user’s head.