Description:Title of The Invention
IoT based device for monitoring of Athletic Musculoskeletal Stress
Field of the Invention
This invention relates to IoT based device for monitoring of Athletic Musculoskeletal Stress
Background of the Invention
WO2015063520A1: A wearable sensor apparatus comprises a motion sensor configured to sense two- or three-dimensional movement and orientation of the sensor and a vibration sensor configured to sense acoustic vibrations. The apparatus includes means for attaching the motion sensor and the vibration sensor to a body. The sensor apparatus enables long term monitoring of mechanomyography muscle activity in combination with body motion for a number of applications.
US20100117837A1: Apparatus, systems, and methods are provided for measuring and analyzing movements of a body and for communicating information related to such body movements over a network. In certain embodiments, a system gathers biometric and biomechanical data relating to positions, orientations, and movements of various body parts of a user performed during sports activities, physical rehabilitation, or military or law enforcement activities. The biometric and biomechanical data can be communicated to a local and/or remote interface, which uses digital performance assessment tools to provide a performance evaluation to the user. The performance evaluation may include a graphical representation (e.g., a video), statistical information, and/or a comparison to another user and/or instructor. In some embodiments, the biometric and biomechanical data is communicated wirelessly to one or more devices including a processor, display.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is IoT based device for monitoring of athletic musculoskeletal stressthere is a need for a device that can monitor and assess musculoskeletal stress levels in real-time during athletic activities, allowing athletes to adjust their training or performance accordingly.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention. This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
There are multiple Electromyography (EMG), which measures small electrical signals generated by muscles when we move them. This includes lifting your arm, clenching your fist or any simple movements, that detect very precise movement of stress in the athlete body.Sensors are attached to a computing unit in which Pre-Trained AI chipset is installed in which threshold values are defined for some states (such as Normal, Relaxed, and Tired) and then it collects all the information based on EMG sensor. For its precise working a battery supply is attached to the computing unit for efficient working. Then this data is sent through Bluetooth receiver attached to another computing unit which is a wearable device like fitness trackers, smartwatches, and other similar devices then a Oled display is attached to computing unit for players.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
In Fig.1There are multiple Electromyography (EMG), which measures small electrical signals generated by muscles when we move them. This includes lifting your arm, clenching your fist or any simple movements, that detect very precise movement of stress in the athlete body.
Sensors are attached to a computing unit in which Pre-Trained AI chipset is installed in which threshold values are defined for some states (such as Normal, Relaxed, and Tired) and then it collects all the information based on EMG sensor. For its precise working a battery supply is attached to the computing unit for efficient working. Then this data is sent through Bluetooth receiver attached to another computing unit which is a wearable device like fitness trackers, smartwatches, and other similar devices then a Oled display is attached to computing unit for players. It also contains a Buzzer and a Vibrator for sensing output (the muscles in stress or if there are chances of injury). If the muscles are in high stress, then buzzer and vibrator both will work together, if the stress Is low then only Buzzer will beep. For working of computing unit, a battery supply is given to it. Then this data is synced to the Mobile app with the use or Internet for Relevant Feedback to players to improve their performance. The mobile app is an essential component of the system, as it provides real-time feedback and analysis of the data collected by the sensors. The app can be used to track and monitor specific movements or exercises, such as running, jumping, or weightlifting, and to identify areas of the body that are experiencing high levels of stress or strain. The app can also be used to set goals, monitor progress, and provide personalized feedback to the user. For example, the app can suggest modifications to an athlete's training routine to reduce stress on certain areas of the body, or recommend exercises to strengthen weaker muscle groups.
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein 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 scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
In Fig.1There are multiple Electromyography (EMG), which measures small electrical signals generated by muscles when we move them. This includes lifting your arm, clenching your fist or any simple movements, that detect very precise movement of stress in the athlete body.Sensors are attached to a computing unit in which Pre-Trained AI chipset is installed in which threshold values are defined for some states (such as Normal, Relaxed, and Tired) and then it collects all the information based on EMG sensor. For its precise working a battery supply is attached to the computing unit for efficient working. Then this data is sent through Bluetooth receiver attached to another computing unit which is a wearable device like fitness trackers, smartwatches, and other similar devices then a Oled display is attached to computing unit for players. It also contains a Buzzer and a Vibrator for sensing output (the muscles in stress or if there are chances of injury). If the muscles are in high stress, then buzzer and vibrator both will work together, if the stress Is low then only Buzzer will beep. For working of computing unit, a battery supply is given to it. Then this data is synced to the Mobile app with the use or Internet for Relevant Feedback to players to improve their performance. The mobile app is an essential component of the system, as it provides real-time feedback and analysis of the data collected by the sensors. The app can be used to track and monitor specific movements or exercises, such as running, jumping, or weightlifting, and to identify areas of the body that are experiencing high levels of stress or strain. The app can also be used to set goals, monitor progress, and provide personalized feedback to the user. For example, the app can suggest modifications to an athlete's training routine to reduce stress on certain areas of the body, or recommend exercises to strengthen weaker muscle groups.
ADVANTAGES OF THE INVENTION:
• Non-invasive: Wearable sensors are typically small, lightweight, and easy to wear, making them a non-invasive alternative to more traditional methods of monitoring stress and strain on the body.
• Real-time monitoring: Wearable sensors can provide real-time feedback on an athlete's performance, allowing them to make adjustments on the fly to optimize their performance and reduce the risk of injury.
• Objective data: Wearable sensors provide objective, quantitative data on an athlete's performance, making it easier to track progress over time and identify areas where improvements can be made.
• Customizable: Wearable sensors can be customized to track and monitor specific movements and exercises, providing athletes with personalized feedback and suggestions for improvement.
• Portable: Wearable sensors are typically small and lightweight, making them easy to transport and use in a variety of settings, including during training and competition.
• Low-cost: Wearable sensors are often more affordable than other methods of monitoring stress and strain on the body, making them accessible to a wider range of athletes and trainers.
, Claims:We Claim:
1. IoT based device for monitoring of athletic musculoskeletal stress system is comprises with EMG Sensors connected with computing unit which will analysis the stress unit with help of Pre-trained AI.
2. The system is claimed in claim 1, wherein which is consist of the emg sensors connected with computing unit which will analysis the stress unit with help of pre-trained ai.
3. The system is claimed in claim 1, wherein which is consist of the data after analyzing will be sent wirelessly to another wireless receiver which will be paired to the apparatus.
4. The system is claimed in claim 1, wherein which is consist of after receiving data from apparatus, the second apparatus will beep and vibrate according to the state that has already been pre-defined in ai which will alert athletes about the condition of their muscles.