<h3 style='margin:5px 0 20px'>Text from the patent</h3> [0002]Exercise is defined as any activity which requires physical effort and is carried out to sustain or improve one’s health and fitness. Furthermore, with the growth in the technology, different approaches are used to enhance the exercise postures of the user.<br /> <br /> [0003]In one such approach, a posture detection device is coupled to an exercise mat in order to capture a user’s performance associated with an exercise performed on the exercise mat and project the same as agraphical illustration on an interface for the user to perform the exercise based on the graphical illustrations provided by the device. However, in such approach, the exercise performance is not monitored by the device, such limitation restricts the userfrom receiving guidelines for the exercise being performed. Also, the graphical illustrations provided by the device may not generate a reference for the user to mend the postures of the exercise, which makes such an approach less reliable and less efficient. <br /> <br /> [0004]In another approach, with the growth in the technology, a plurality of sensors in a form of a matrix is fabricated in a certain pattern within an exercise mat which are used to sense a plurality of parameters of a user upon performing an exercise on the exercise mat. Moreover, in such approach, as a size of the matrix associated with the plurality of sensors increases, a large number of outputs are required. Also, as the matrix gets larger, complexity in acquiring output from the plurality of sensors increases exponentially. In addition, usage of the larger size matrix increases sheer complexity in designing and also becomes expensive as larger matrix requires high power supply and a greater number of sensors. Henceforth, such limitation restricts manufacturing of the exercise mat with larger matrix size. Also, in such an approach, the output from each of the plurality of sensors has to be acquired to recognise the posture of the user, thereby enabling all the sensors to be in contact even though the sensors are not in contact with the exercise posture of the user. Such limitation causes the system to consume more power henceforth making such an approach expensive and less reliable. <br /> <br /> [0005]Hence, there is a need for an improved system and non-intrusive method for exercise posture detection to address the aforementioned issue/s.<br /> <br /> [0006]In accordance with one embodiment of the disclosure, a system to monitor an exercise posture of a user is provided. The system includes a mat communicatively coupled toat least one wearable device worn by the user. The met is configured to allow the user to perform at least one exercise. The system also includesat least one sensor matrixlocated on one of a top of the matand within the mat. Each of the at least one sensor matrix includes one or more sensors, wherein the one or more sensors is configured to generate an electrical signal upon making a contact of at least one part of a body of the user with the mat while performing the at least one exercise on the mat. The system also includes a plurality of sensor lines. The system also includes a plurality of power lines. Further, the plurality of sensor linesand the plurality of power linesare in a pre-defined ratio. The system also includes a processing subsystem electrically coupled to the at least one sensor matrix. The processing subsystem includes a data acquisition module configured to extract a first set of data from at least one of the one or more sensors through corresponding at least one of the plurality of sensor linesat every pre-defined time interval sequentially. The data acquisition module is also configured toextract a second set of data from the at least one wearable device, wherein the second set of data is a representative of the at least one exercise performed by the user. The processing subsystem also includes a data processing module operatively coupled to the data acquisition module. The data processing module is configured to process the first set of data and the second set of data using a processing technique. The data processingmodule is also configured toconcatenate the first set of data and the second set of data to get a final set of data. The data processing module is also configured to compare the final set of data with a pre-defined set of posture data. The data processingmodule is also configured to determine the posture of the at least one exercise performed by the user on the mat based on a compared result. The data processingmodule is also configured to determine strength and flexibility of the user based on the compared result.

<h3 style='margin:5px 0 20px'>Text from the patent</h3> [0020]FIG. 1 is a block diagram representation of a system(10)to monitor an exercise posture of a user in accordance with an embodiment of the present disclosure.as used herein, the term “exercise” is defined as any activity requiring a physical effort which is carried out in order to sustain or improve health and fitness of the user.In one embodiment, the exercise may include at least one of yoga, gym, gymnastic, a Pilatesand the like. In one embodiment, the user may be a person who may be learning to perform the exercise. In another embodiment, the user may be the person who may be performing the exercise regularly.<br /> <br /> [0021]Furthermore, the system (10) includes a mat (20) communicatively coupled to at least one wearable device (10) worn by the user. In one embodiment, the mat (20) may include one of a Pilate mat, a yoga mat, a fitness mat,a wellness matand the like. In one exemplary embodiment, the wearable device (30) may include one of an implantable, a smartwatch, a smart jewellery, a smart clothing, a head mounted device, and the like.In such embodiment, at least one of a roll, a yaw and a pitch may be used to determine arm joint angles of each arm of the user. <br /> <br /> [0022]The system (10) also includesat least one sensor matrix (40) located on one of a top of the mat(20)and within the mat (20). Each of the at least one sensor matrix (40) comprises one or more sensors(50). As used herein, the term “sensor matrix” is defined as a group of sensors fabricated together in a certain pattern. The one or more sensors (50) is configured to generate an electrical signal upon making a contact of at least one part of a body of the user with the mat (20) while performing the at least one exercise on the mat(20).In one embodiment, the one or more sensors (50) may be at least one of a pressure sensor, a contact sensor, a touch sensor, a stability sensor, a temperature sensor, a proximity sensor and the like. <br /> <br /> [0023]The system (10) also includes a plurality of sensor lines(60).In one embodiment, the plurality of sensor lines(60) may be fabricated in a vertical direction. The plurality of sensor lines(60) may be configured to sense or receive an output from the corresponding one or more sensors(50).In one embodiment, an output representative of the electrical signal generated bythe one or more sensors(50) maybe sensed at every pre-defined interval. <br /> <br /> [0024]Furthermore, the system (10) includes a plurality of power lines(70). In one embodiment, the plurality of power lines(70) may be configured to supply power to theat least one sensor matrix. Further, the plurality of sensor lines(60) and the plurality of power lines(70) are in a pre-defined ratio.More specifically, number of the plurality of power lines(70) to a number of the plurality of sensor lines(60) may be pre-defined to optimisethe monitoring of the exercise posture of the user performed on the mat(20). <br /> <br /> [0025]In one exemplary embodiment, a junction where at least one of the plurality of sensor lines(60) may meet a corresponding at least one of the plurality of power lines(70) may be treated as a sensor cell. Henceforth, the system (10) may include a pluralityof sensor cells(50). In another exemplary embodiment, size of the at least one sensor matrix (40) may be of a dimension of mxn, wherein ‘m’ may represent thenumber of theplurality of sensor lines(60) and ‘n’ may represent the number of the plurality of power lines(70). In such embodiment, at any instant of time ‘t’, only one of the plurality of power lines(70) may be active in order to extract the output from a corresponding at least one of the plurality of sensor lines(60). Also, the sensor matrix (40) may include m xn output lines(not shown in FIG. 1). <br /> <br /> [0026]The system (10) also includes a processing subsystem (80) electrically coupled to the at least one sensor matrix(40). The processing subsystem (80) includes a data acquisition module(90). The data acquisition module (90) is configured to extract a first set of data fromat least one of the one or more sensors (50) through corresponding at least one of the plurality of sensor lines(60) at every pre-defined time interval sequentially.More specifically, an output representative of the electrical signal may be acquired by the data acquisition module (90) from each of the plurality of sensor lines(60) electrically coupled to the corresponding one or more sensors(50). In one specific embodiment, theat least one sensor matrix (40) having the m x nsize with ‘m’number of the sensor lines(60) and n number of the power lines(70), only one of the‘n’number of the power linesmay be active (say,an activated power line be represented as ‘i’). More specifically, ‘m’number of sensors (50) on the i th rowmay be active. Henceforth an output from the at least one sensor matrix (40) may be electrical signals generated by the m number of sensors on the i th row. <br /> <br /> [0027]The data acquisition module (90) is also configured to extract a second set of data from theat least one wearable device(30). The second set of data is a representative of the at least one exercise performed by the user. In one embodiment, the second set of data may be extractedfromthe at least one wearable device (30) via a communication medium(not shown in FIG. 1).In such embodiment, the communication medium may be a wireless communication medium. In one embodiment, the wireless communication medium may include one of aWi-Fi (wireless fidelity) medium, a Bluetooth medium, a Bluetooth Low Energy (Bluetooth LE or BLE) medium, an LPWAN (low-power wide-area network) medium, an Ultra-Wide Band (UWB) medium, a LoRa(Low Range technology) medium, Zigbee, WLAN (Wireless Local Area Network), a mobile networkand the like.

<h3 style='margin:5px 0 20px'>Text from the patent</h3> [0041]FIG. 4 is an exemplary embodiment representing a system (120) to monitor an exercise posture of a user (130) of FIG. 1 in accordance with an embodiment of the present disclosure. The system (120) includes a mat (140) communicatively coupled to a wearable smartwatch (150) worn by the user(130), wherein the mat (140) is used by the user (130) to perform an exercise. As the user (130) performs the exercise, a sensor matrix (160) which is fabricated on top portion of the mat (140) comprising a plurality of sensors (170) begins to sense various parameters associated with the exercise such as pressure, weight, distance between user’s hands and legs, and the likeupon being contacted with a body of the user (130) with the mat(140). Furthermore, a data acquisition module (180) presentwithin a processing subsystem (190) acquires a first set of data from the plurality of sensors (170) via a plurality of output lines(1not shown in FIG. 4) coupled to a plurality of power lines(200) and a plurality of power lines(210).An output from each of the plurality of output lines is taken sequentially at every pre-defined time interval. <br /> <br /> [0042]In addition, output from the wearable smartwatch (150) worn by the user (130) is extracted by the data acquisition module(180) as a second set of data. Further, a data processing module (190) operatively coupled to the data acquisition module (220) processes the first set of data and the second set of data and further concatenates the same to get a final set of data which is associated with the exercise performed by the user (130) on the mat(140). The final set of data is compared with a pre-defined set of posture data in order to determine an exact posture of the user (130) while performing the exercise. <br /> <br /> [0043]Furthermore, the posture determined is represented as a heuristic imagefor the user (130) to observe and correct the posture if requiredthrough a display (240). In a situation when the posture of the user (130) does not match with the pre-defined set of posture data, a recommendation module (230) may generate a recommendation associated with the posture of the exercise of the user (130) based on a determined posture. <br /> <br /> [0044]Moreover, the mat(140), the sensor matrix(160), the plurality of sensors(170), the plurality of sensor lines(200), the plurality of power lines(210), the processing subsystem(190), the data acquisition module (180) and the data processing module (220) are substantially similar to a mat(20), a sensor matrix(40), a plurality of sensors(50), a plurality of sensor lines(60), a plurality of power lines(70), a processing subsystem(80), a data acquisition module (90) and a data processing module (100) of FIG. 1.

<h3 style='margin:5px 0 20px'>Text from the patent</h3> 0045]FIG. 5 is a flow chart representing steps involved in a method(250)for monitoring an exercise posture of a user in accordance with an embodiment of the presentdisclosure.The method (250) includes generating an electrical signal upon making a contact of at least one part of a body of the user with a mat while performing at least one exercise on the matin step 260. In one embodiment, generating the electrical signal may include generating the electrical signal by at least one sensor matrix comprising one or more sensors. In one exemplary embodiment, generating the electrical signal may include generating the electrical signal by at least one of a pressure sensor, a contact sensor, a touch sensor, a stability sensor, a temperature sensor, a proximity sensor and the like upon making a contact of at least one part of a body of the user with the mat. <br /> <br /> [0046]The method (250) also includes extracting a first set of data from at least one of the one or more sensors through corresponding at least one of the plurality of sensor linesat every pre-defined time interval sequentiallyin step 270. In one embodiment, extracting the first of data may include extracting the first set of data from a data acquisition module. In one exemplary embodiment, extracting the first set of data may include extracting the first set of data by a plurality of output linesassociated with a plurality of power linesand a plurality of sensor lines. <br /> <br /> [0047]The method (250) also includes extracting a second set of data from the at least one wearable device, wherein the second set of data is a representative of the at least one exercise performed by the userinstep 280. In one embodiment, extracting the second set of data may include extracting the second set of data by the data acquisition module. In one exemplary embodiment, extracting the second set of data may include extracting the second set of data from the at least one wearable device via a communication medium, wherein the communication medium may include one of a Wi-Fi (wireless fidelity) medium, a Bluetooth medium, a Bluetooth Low Energy (Bluetooth LE or BLE) medium, an LPWAN (low-power wide-area network) medium, an Ultra-Wide Band (UWB) medium, a LoRa (Low Range technology) medium, Zigbee, WLAN (Wireless Local Area Network), a mobile network, and the like.<br /> <br /> [0048]Furthermore, the method (250) includes processing the first set of data and the second set of data using a processing techniquein step 290. In one embodiment, processing the first set of data and the second set of data may include processing by a data processing module.<br /> <br /> [0049]The method (250) also includes concatenating the first set of data and the second set of data for getting a final set of datain step 300. In one embodiment, concatenating the first set of data and the second set of data may include concatenating by the data processing module. In one exemplary embodiment, concatenating the first set of data and the second set of data may include concatenating the first set of data and the second set of data for getting a numerical value. <br /> <br /> [0050]The method (250) also includes comparing the final set of data with a pre-defined set of posture datain step 310. In one embodiment, comparing the final set of data may include comparing the second set of data by the data processing module. In one exemplary embodiment, the method (250) may further include enabling an expert for performing the at least one exercise on the mat. The method (250) may also include extracting the electrical signal from the one or more sensors associated with the mat upon enabling the expert to perform the at least one exercise. The method (250) may further include storing the generated electrical signal as a pre-defined posture data in a database.