[0001] The present disclosure relates to the systems and methods for determining posture. More particularly, the present disclosure relates to a system and method for posture monitoring and alerting.

BACKGROUND
[0002] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Now-a-days, with progression of digitization in each and every field, it has become quite easier to handle assigned tasks, and hence a person can easily complete his/ her tasks while sitting in his/ her home or sitting in office. In various fields, due to digitization, a person is not required to go to the field, instead he/ she can keep a track of various activities using various software and applications.
[0004] However, due to long working hours a person is required to sit in his/ her chair for long durations. Many a times, a person gets engaged in his/ her work so intensely that he/ she might happen to sit in a particular position for hours that may result in pain in a body part of the person, such as neck, back, legs, etc.
[0005] Generally, due to inappropriate ratio of heights of table on which a person has to work and chair on which he/ she has to sit, a person may sit in an incorrect posture, and if this practice is continued for a long time, many health issues may occur, such as back pain, slip disc, straining of muscles, etc.
[0006] There is, therefore, a need in the art to provide a solution to mitigate above-mentioned and other problems, and to provide a reliable, cost-effective, efficient, and user-friendly system.

OBJECTS OF THE PRESENT DISCLOSURE
[0007] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0008] It is an object of the present disclosure to provide a system and method to determine posture of a person.
[0009] It is another object of the present disclosure to provide a system and method to alert the person if his/ her posture is required to be corrected.
[00010] It is another object of the present disclosure to provide a system and method to take care of and alert a person about his/ her health.
[00011] It is another object of the present disclosure to provide an efficient, reliable, user-friendly, and cost-effective system.

SUMMARY
[00012] The present disclosure relates to the systems and methods for determining posture. More particularly, the present disclosure relates to a system and method for posture monitoring and alerting.
[00013] An aspect of the present disclosure pertains to a posture monitoring and alerting system that comprises a set of sensors configured at pre-determined positions at a chair adapted to accommodate a person over it. The set of sensors may sense postural attributes associated with the person, and may correspondingly generate a first set of signals.
[00014] In an aspect, the system comprises a monitoring unit that is operatively coupled to the set of sensors, the monitoring unit may receive the first set of signals, and further it may extract the postural attributes from said signals.
[00015] In an aspect, the monitoring unit may compute a weighted composition of the extracted postural attributes, and may determine a posture based on the weighted composition.
[00016] In another aspect, a pre-defined weight may be assigned to each of the postural attributes, and correspondingly the weighted composition is computed.
[00017] In an aspect, the monitoring unit may facilitate matching of the determined posture with a dataset comprising one or more pre-stored postures, where a set of alert signals may be generated by the monitoring unit based on the positive matching of the determined posture with the dataset.
[00018] In another aspect, when the determined posture is negatively matched with the dataset, the monitoring unit is configured to update the dataset based on the posture.
[00019] In an aspect, the system may comprise a communication module operatively coupled to the monitoring unit, and configured to communicatively couple the system with one or more mobile computing devices.
[00020] In another aspect, the communication module may comprise any or a combination of Bluetooth, WiFi module, LiFi module, optical fiber, and Zigbee module.
[00021] Another aspect of the present disclosure pertains to a posture monitoring and alerting method including the steps of sensing, through a set of sensors, postural attributes associated with a person, and correspondingly generate a first set of signals. The method may further include a step of receiving, at one or more processors of a monitoring unit, the first set of signals from at least one of the sensor among the set of sensors, that may be followed by a step of extracting, at the one or more processors, the postural attributes from the first set of signals. The method may further include a step of computing, at the one or more processors, a weighted composition of the extracted postural attributes, and correspondingly determine a posture that can be followed by a step of matching, at the one or more processors, the determined posture with a dataset comprising one or more pre-stored postures. The method also include a step of generating, at the one or more processors, a set of alert signals, based on positive matching of the determined posture with the dataset.
[00022] Various objects, features, aspects and advantages of the inventive subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like components.
[00023] Within the scope of this application it is expressly envisaged that the various aspects, embodiments, examples and alternatives set out in the preceding paragraphs, in the claims and/or in the following description and drawings, and in particular the individual features thereof, may be taken independently or in any combination. Features described in connection with one embodiment are applicable to all embodiments, unless such features are incompatible.

BRIEF DESCRIPTION OF DRAWINGS
[00024] The accompanying drawings are included to provide a further understanding of the present disclosure, and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure. The diagrams are for illustration only, which thus is not a limitation of the present disclosure.
[00025] FIG. 1 illustrates block diagram of the proposed posture monitoring and alerting system, in accordance with an embodiment of the present disclosure, to elaborate upon its working.
[00026] FIG. 2 illustrates exemplary flow diagram associated with working of the proposed posture monitoring and alerting system, in accordance with an embodiment of the present disclosure.
[00027] FIG. 3 illustrates a diagram illustrating method for monitoring posture and alerting, in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION
[00028] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to clearly communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure as defined by the appended claims.
[00029] Groupings of alternative elements or embodiments of the invention disclosed herein are not to be construed as limitations. Each group member can be referred to and claimed individually or in any combination with other members of the group or other elements found herein. One or more members of a group can be included in, or deleted from, a group for reasons of convenience and/or patentability.
[00030] The present disclosure relates to the systems and methods for determining posture. More particularly, the present disclosure relates to a system and method for posture monitoring and alerting.
[00031] An aspect of the present disclosure pertains to a posture monitoring and alerting system including: a chair adapted to accommodate a person over it; a set of sensors positioned at pre-determined positions at the chair to facilitate sensing postural attributes associated with the person, and correspondingly generate a first set of signals; and a monitoring unit operatively coupled with the set of sensors, wherein the monitoring unit comprises one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors and configured to: receive the first set of signals from at least one of the sensor among the set of sensors; extract the postural attributes from the first set of signals; compute a weighted composition of the extracted postural attributes, and correspondingly determine a posture; match the determined posture with a dataset comprising one or more pre-stored postures; and generate a set of alert signals based on positive matching of the determined posture with the dataset.
[00032] In an embodiment, when the determined posture is negatively matched with the dataset, the monitoring unit updates the dataset based on the determined posture.
[00033] In an embodiment, the postural attributes can include position and movement of body parts of a person with respect to each other.
[00034] In an embodiment, a pre-defined weight can be assigned to each of the postural attributes, and correspondingly the weighted composition can be computed.
[00035] In an embodiment, the system can include a display unit operatively coupled with the monitoring unit, wherein the display unit is configured to display, based on the set of alert signals, one or more effects associated with the determined posture.
[00036] In another embodiment, the set of sensors can include any or a combination of heat sensor, temperature sensor, weight sensor, pressure sensor, and proximity sensor.
[00037] In an embodiment, the system can include a mobile computing device coupled with the monitoring unit, and wherein the set of alert signals can be transmitted to the mobile computing device.
[00038] In another embodiment, the mobile computing device can include any or a combination of smart phone, laptop, and tablet
[00039] In yet another embodiment, the system can include a communication module operatively coupled with the monitoring unit and the mobile computing device, and configured to communicatively couple the monitoring unit and the mobile computing device.
[00040] In an exemplary embodiment, the communication module can include any or a combination of Bluetooth, Wi-Fi module, Li-Fi module, Zigbee module, optical fibre, and Near Field Communication (NFC) module
[00041] Another aspect of the present disclosure pertains to a posture monitoring and alerting method including steps of: sensing, through a set of sensors, postural attributes associated with a person, and correspondingly generate a first set of signals; receiving, at one or more processors of a monitoring unit, the first set of signals from at least one of the sensor among the set of sensors; extracting, at the one or more processors, the postural attributes from the first set of signals; computing, at the one or more processors, a weighted composition of the extracted postural attributes, and correspondingly determine a posture; matching, at the one or more processors, the determined posture with a dataset comprising one or more pre-stored postures; and generating, at the one or more processors, a set of alert signals, based on positive matching of the determined posture with the dataset.
[00042] FIG. 1 illustrates block diagram of the proposed posture monitoring and alerting system 100, in accordance with an embodiment of the present disclosure, to elaborate upon its working.
[00043] In an embodiment, the proposed posture monitoring and alerting system 100 (interchangeably referred to as posture monitoring and alerting system 100, or system 100, hereinafter) includes a chair adapted to accommodate a person over it. In an embodiment, as illustrated in FIG.1, the system 100 includes a set of sensors 102 (also, collectively referred to as sensors 102, and individually referred to as sensor 102, hereinafter) that can be positioned at pre-determined positions at the chair, thereby facilitating in sensing of postural attributes associated with the person. In another embodiment, the sensors 102 can generate a first set of signals based on the sensed postural attributes. In an exemplary embodiment, the sensors 102 can include, but not limited to, heat sensor, temperature sensor, weight sensor, pressure sensor, and proximity sensor. In another exemplary embodiment, the postural attributes can include, but not limited to, position and movement of body parts of a person with respect to each other.
[00044] In an embodiment, the posture monitoring and alerting 100 includes a monitoring unit 104 that is operatively coupled to the sensors 102. In an exemplary embodiment, the monitoring unit 104 can be, but not limited to, a microcontroller, a microprocessor, and the like, and can include one or more processors and a memory. In an embodiment, the first set of signals generated by at least one of the sensors 102 can be transmitted to the monitoring unit 104. In another embodiment, the monitoring unit 104 can receive the transmitted first set of signals. In an exemplary embodiment, the first set of signals can be in form of electrical signals, and the monitoring unit 104 can be configured to extract the postural attributes from said electrical signals.
[00045] In an embodiment, the monitoring unit 104 can compute a weighted composition of the extracted postural attributes, and can determine a posture based on the weighted composition. In another embodiment, a pre-defined weight can be assigned to each of the postural attributes, and correspondingly the weighted composition is computed. In an exemplary embodiment, through machine learning and neural network techniques, pre-defined weights can be assigned to said postural attributes, the weighted composition can be calculated, and correspondingly a posture can be determined. In an implementation, a first weight can be assigned for position of neck with respect to back, and a second weight can be assigned for position of the back with respect to position of legs of a person, such that the first weight can be a higher value than the second weight.
[00046] In an embodiment, the monitoring unit 104 can facilitate matching of the determined posture with a dataset that includes one or more pre-stored postures, where a set of alert signals can be generated by the monitoring unit 104 based on positive matching of the determined posture with the dataset. In an exemplary embodiment, the positive matching pertains to the matching of the determined posture with at least one of the one or more pre-stored postures.
[00047] In another embodiment, when the determined posture is negatively matched with the dataset, the monitoring unit 104 is configured to update the dataset based on the posture. In an exemplary embodiment, the negative matching pertains to a situation when the determined posture do not matches with any of the one or more pre-stored postures.
[00048] In an embodiment, the posture monitoring and alerting 100 includes a display unit (not shown) that can be operatively coupled to the monitoring unit 104. In an embodiment, the set of alert signals, generated at the monitoring unit 104 upon positive matching of the determined posture with the dataset, can be transmitted to the display unit. In another embodiment, the display unit can receive the transmitted set of alert signals, and can correspondingly display one or more effects associated with said posture. In an exemplary embodiment, the one or more effects can include any or a combination of paining, straining, bending, and stretching of one or more body parts of the person.
[00049] In an embodiment, the posture monitoring and alerting 100 can include a mobile computing device 106 that can be coupled with the monitoring unit 104. In an embodiment, the set of alert signals can be transmitted from the monitoring unit 104 to the mobile computing device 106, where the person can become aware about the one or more effects associated with the determined posture. In an exemplary embodiment, the mobile computing device 106 can be, but not limited to, smart phone, laptop, and tablet. In an exemplary embodiment, a portion of analysis can also be done on the mobile computing device 106 depending upon the complexity of model and computing power requirements, and corresponding results can be displayed in the mobile computing device using graphical user interface.
[00050] In an exemplary embodiment, a person can easily get informed about his/ her posture through his/ her mobile computing device 106, where said information can include, but not limited to, for how long did the person sat in the correct posture, for how long did he/ she sat in the incorrect posture and upto what degree, what is the history of his/ her seating posture in the chair, based on his/ her history what are the possible health problems he/she is going to encounter, which part(s) of his/ her body is most responsible for his/her incorrect posture and how the posture can be improved.
[00051] In an implementation, the one or more pre-stored postures can include any or a combination of incorrect postures and correct postures. In an example, if the determined posture matches with a correct posture among the one or more pre-stored postures, the person can get informed about the same. In another example, if the determined posture matches with an incorrect posture among the one or more pre-stored postures, the person can get notified informed about the incorrect posture through an alert notification at his/ her mobile computing devices, where the alert notification may pertain to impact of said posture on his/ her health, etc. In yet another example, if the determined posture does not match with any of the one or more pre-stored postures, then the dataset can get updated based on the determined posture. For instance, variance of the determined position as compared to the correct postures can be identified, and accordingly impacts and effects resulting due to said posture can be determined through techniques, such as machine learning.
[00052] In another exemplary embodiment, the one or more pre-stored postures can include correct postures only, such that if a determined posture of a person matches with the correct posture, the person can get informed about the same. Further, if the determined posture of the user does not match with the one or more pre-stored postures (correct postures), the person can get notified through an alert notification that his/her posture is incorrect so that the user can correct the posture accordingly.
[00053] In yet another exemplary embodiment, the one or more pre-stored postures can include incorrect postures only, such that if a determined posture of a user matches with the incorrect posture of the one or more pre-stored postures, the person can get notified through an alert notification, which may help the user to correct his/her posture.
[00054] In another exemplary embodiment, the mobile computing device 106 can provide real time information about the person’s current posture and comparison of the same with respect to the pre-stored postures. In yet another exemplary embodiment, if a person is seating in an incorrect posture for too long as predicted by a trained model, the person can get a real time alert/notification on his/ her mobile computing device 106. The person can also access periodic summary of his posture from the mobile computing device 106.
[00055] Further, in yet another exemplary embodiment, the person can be able to input his medical history with respect to his/her posture related problems including, but not limited to shoulder pain, neck pain, upper back pain, lower back pain, headache, and cervical pain, in the system 100 through his/ her mobile computing device 106. The monitoring unit 104 can keep in account of the medical history of the person while making predictions and giving results, alerts, notifications etc.
[00056] In an embodiment, the posture monitoring and alerting 100 can include a communication module 108 that can be operatively coupled with the monitoring unit 104 and the mobile computing device 106, thereby the communication module 108 can facilitate communicative coupling between the monitoring unit 104 and the mobile computing device 106. In an exemplary embodiment, the communication module 108 can include, but not limited to, Bluetooth, Wi-Fi module, Li-Fi module, Zigbee module, optical fibre, and Near Field Communication (NFC) module.
[00057] FIG. 2 illustrates exemplary flow diagram associated with working of the proposed posture monitoring and alerting system 100, in accordance with an embodiment of the present disclosure.
[00058] In an embodiment, as illustrated in FIG. 2, at block 202 postural parameters of a person sitting at the chair can be sensed by the sensors 102 associated with the chair. In another embodiment, at block 204, a weighted composition of said postural parameters can be computed, and correspondingly a posture can be determined using machine learning and neural network techniques.
[00059] In an embodiment, at block 206, the determined posture is matched with a dataset including one or more pre-stored postures. In an embodiment, in case of positive matching of the determined posture with at least one of the one or more pre-stored postures, at block 208, one or more effects associated with the posture can be displayed. In another embodiment, in case of negative matching of the determined posture with the one or more pre-stored postures, at block 210, said posture can be added in the dataset to update it.
[00060] FIG. 3 illustrates a diagram illustrating method for monitoring posture and alerting, in accordance with an embodiment of the present disclosure.
[00061] In an embodiment, as illustrated in FIG. 3, the proposed method can include a step 302 of sensing, through a set of sensors 102, postural attributes associated with a person, and correspondingly said sensors 102 can generate a first set of signals.
[00062] In an embodiment, the method can include a step 304 of receiving, at one or more processors of a monitoring unit 104, the first set of signals that is being transmitted, in the step 302, from at least one of the sensor among the set of sensors 102.
[00063] In an embodiment, the method can include a step 306 of extracting, at the one or more processors, the postural attributes from the first set of signals that are being received in the step 304.
[00064] In an embodiment, the method can include a step 308 of computing, at the one or more processors, a weighted composition of the postural attributes that are being extracted in the step 306, and correspondingly determine a posture.
[00065] In an embodiment, the method can include a step 310 of matching, at the one or more processors, the posture, being determined at the step 308, with a dataset that can include one or more pre-stored postures.
[00066] In an embodiment, the method can include a step 312 of generating, at the one or more processors, a set of alert signals (also referred to as identifying signals, herein), based on positive matching of the determined posture with the dataset based on the matching being done in the step 310.
[00067] It should be apparent to those skilled in the art that many more modifications besides those already described are possible without departing from the inventive concepts herein. The inventive subject matter, therefore, is not to be restricted except in the spirit of the appended claims. Moreover, in interpreting both the specification and the claims, all terms should be interpreted in the broadest possible manner consistent with the context. In particular, the terms “comprises” and “comprising” should be interpreted as referring to elements, components, or steps in a non-exclusive manner, indicating that the referenced elements, components, or steps may be present, or utilized, or combined with other elements, components, or steps that are not expressly referenced. Where the specification claims refers to at least one of something selected from the group consisting of A, B, C ….N, the text should be interpreted as requiring only one element from the group, not A plus N, or B plus N, etc.
[00068] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.
ADVANTAGES OF THE INVENTION
[00069] The proposed disclosure provides a system and method to determine posture of a person.
[00070] The proposed disclosure provides a system and method to alert the person if his/ her posture is required to be corrected.
[00071] The proposed disclosure provides a system and method to take care of and alert a person about his/ her health.
[00072] The proposed disclosure provides an efficient, reliable, user-friendly, and cost-effective system.

Claims:1. A posture monitoring and alerting system comprising:
a chair adapted to accommodate a person over it;
a set of sensors positioned at pre-determined positions at the chair to facilitate sensing postural attributes associated with the person, and correspondingly generate a first set of signals; and
a monitoring unit operatively coupled with the set of sensors, wherein the monitoring unit comprises one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors and configured to:
receive the first set of signals from at least one of the sensor among the set of sensors;
extract the postural attributes from the first set of signals;
compute a weighted composition of the extracted postural attributes, and correspondingly determine a posture;
match the determined posture with a dataset comprising one or more pre-stored postures; and
generate a set of alert signals based on positive matching of the determined posture with the dataset.
2. The posture monitoring and alerting system as claimed in claim 1, wherein when the determined posture is negatively matched with the dataset, the monitoring unit updates the dataset based on the determined posture.
3. The posture monitoring and alerting system as claimed in claim 1, wherein the postural attributes comprise position and movement of body parts of a person with respect to each other.
4. The posture monitoring and alerting system as claimed in claim 1, wherein a pre-defined weight is assigned to each of the postural attributes, and correspondingly the weighted composition is computed.
5. The posture monitoring and alerting system as claimed in claim 1, wherein the system comprises a display unit operatively coupled with the monitoring unit,
wherein the display unit is configured to display, based on the set of alert signals, one or more effects associated with the determined posture.
6. The posture monitoring and alerting system as claimed in claim 5, wherein the one or more effects include any or a combination of paining, straining, bending, and stretching of one or more body parts of the person.
7. The posture monitoring and alerting system as claimed in claim 1, wherein the set of sensors comprise any or a combination of heat sensor, temperature sensor, weight sensor, pressure sensor, and proximity sensor.
8. The posture monitoring and alerting system as claimed in claim 1, wherein the system includes a mobile computing device coupled with the monitoring unit, and wherein the set of alert signals is transmitted to the mobile computing device,
wherein the mobile computing device is any or a combination of smart phone, laptop, and tablet.
9. The posture monitoring and alerting system as claimed in claim 7, wherein the system comprises a communication module operatively coupled with the monitoring unit and the mobile computing device, and configured to communicatively couple the monitoring unit and the mobile computing device,
wherein the communication module comprises any or a combination of Bluetooth, Wi-Fi module, Li-Fi module, Zigbee module, optical fibre, and Near Field Communication (NFC) module.
10. A posture monitoring and alerting method comprising the step of:
sensing, through a set of sensors, postural attributes associated with a person, and correspondingly generate a first set of signals;
receiving, at one or more processors of a monitoring unit, the first set of signals from at least one of the sensor among the set of sensors;
extracting, at the one or more processors, the postural attributes from the first set of signals;
computing, at the one or more processors, a weighted composition of the extracted postural attributes, and correspondingly determine a posture;
matching, at the one or more processors, the determined posture with a dataset comprising one or more pre-stored postures; and
generating, at the one or more processors, a set of alert signals, based on positive matching of the determined posture with the dataset.