Wearable Coaching System

A wearable coaching system is a combination of wireless sensor interacting with each other and actuators in order to coach an athlete training performances. [1] Lack or no monitoring of moderate activity or exercises such as walking, running or jogging could potentially pose serious threats to the human body. For instance, the incorrect body postures or excessive running could strain the body and lead to health problems such as back pain, slipped disks or knee pain. [4] One of the ways to minimize the health risks, is by designing a wearable system to monitor the body parameters Abstract: Wearable Coaching System is a multi-sensor device for real-time training coaching. The system comprises of six modules which are shoulder, waist, a pair of wrist and a pair of ankle modules. It is compact, light, comfortable to wear and is suitable for any size of user. It system has five main embedded sensors: heart rate, three-axis acceleration, gyro, temperature and blood oxygen saturation (SpO2) sensor. It operates in streaming mode for realtime data processing using two telecommunication tools: ZigBee and Bluetooth and low energy interface for recording mode is using an internal flash memory. In this paper, a wearable coaching system is designed to help athlete or trainer to perform proper and efficient exercise suitable to one’s body needs. It measures the parameter of the body, analyze and provide feedback in a form of an advice. In order to improve the system, arm gesture mode performed by the wrist modules of the system is applied. This mode is to enable user to manage their exercising level to a more appropriate pace, suitable with their individual body by reproducing the feedback. In a supervised coaching training, percentage of heart rate threshold target is increasing, hence, producing a greater performance of training. It is proven in this paper, that wearable coaching system performs an accurate measurement in enhancing sports and coaching training, adding value to novel lifestyle exercising and health monitoring.

[1]  Shigeru Takayama,et al.  Flexible data communication system in telemetric body area network , 2016, 2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

[2]  Emiliano Schena,et al.  A wearable system based on fiber Bragg grating for monitoring respiratory and heart activity of archers , 2019, 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

[3]  Hiroshi Nakashima,et al.  Enhancing support for optimal muscle usage in sports: coaching and skill-improvement tracking with sEMG , 2019, UbiComp.

[4]  Maria Gradinariu Potop-Butucaru,et al.  Convergecast in Wireless Body Area Networks , 2017, Ad Hoc Networks.

[5]  Guang-Zhong Yang,et al.  Body sensor networks , 2006 .

[6]  N. Mohtadzar,et al.  Wrist Module as an Applied Health Monitoring System in Wireless Body Area Network System , 2016 .

[7]  Abdelfettah Belghith,et al.  Wireless Body Area Networks: Applications and Technologies , 2016, ANT/SEIT.

[8]  Lamia Chaari Fourati.  Wireless Body Area Network and Healthcare Monitoring System , 2014, 2014 IEEE International Conference on Healthcare Informatics.

[9]  S. Takayama,et al.  Vital Signs Evaluation of Human Behaviour via an Autonomous Body Area Network System , 2016 .

[10]  Nadjib Badache,et al.  Design of Wearable Health Monitoring Systems: An Overview of Techniques and Technologies& , 2016 .

[11]  Shyamal Patel,et al.  A review of wearable sensors and systems with application in rehabilitation , 2012, Journal of NeuroEngineering and Rehabilitation.

[12]  Kenji Hayashi,et al.  Remote caring system by autonomous transition with wireless measurement , 2017, 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

[13]  João Rocha,et al.  Smart Coach - A Recommendation System for Young Football Athletes , 2019, ISAmI.

[14]  Mahadeo D. Kokate,et al.  Health Monitoring System using Wireless Body Area Network and ANDROID supported PDA , 2017 .

[15]  Aleksandar Milenkovic,et al.  Body Area Networks for Ubiquitous Healthcare Applications: Opportunities and Challenges , 2011, Journal of Medical Systems.

[16]  Mark A. Robinson,et al.  Whole-body biomechanical load in running-based sports: The validity of estimating ground reaction forces from segmental accelerations. , 2019, Journal of science and medicine in sport.

[17]  A.K.M Fazlul Haque,et al.  Wireless Body Area Network: An Overview and Various Applications , 2017 .

[18]  António Pereira,et al.  Wireless Body Area Networks for Healthcare Applications: Protocol Stack Review , 2015, Int. J. Distributed Sens. Networks.