Wearable sensing system for improvement in sports training

• Main Author: Ank Khandelwal
• Other Authors: Wang Ping
• Format: Theses and Dissertations
• Language: English
• Published: 2015
• Subjects: DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity; DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems; DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics
• Online Access: http://hdl.handle.net/10356/65544
• Institution: Nanyang Technological University

With the rise of wireless sensor technology, it has gained popularity from consumer electronics to health-care applications; these light weight and power efficient embedded sensory devices are also finding their way into the sports industry. With the rising trend of using different techniques by trainers to improve the performance of the athletes, wearable sensors are gaining huge popularity amongst the others. Wearable sensors being light weight can be worn by the user without any hassle and can also perform very complex algorithm calculation which might help in improving their performance. We propose to develop a system for improving sports training focusing on cycling which will help the cyclist and trainers to extract important information which can help them improve their training. This contribution is concerned with the knee flexion angle calculation, pedal stroke calculation and the power measurement using the cycling ergometer. The angle calculation is based on inertial measurement unit data in the context of human motion analysis while cycling, and the number of pedal strokes are also calculated using the same data. The gathered data from the in-house developed IMU sensors is sent to the host PC, processed and sent to the cloud for further processing and visualization. This IMU system and the power calculation system are a part of a larger system which is developed by the Wireless Wearable Sensing Technology Laboratory at Institute for Infocomm Research (I2R). Cycling ergometer CompuTrainer TM is used to get the power output from each session and customize the track according to the users need. The power output available is not in a format which can be sent to the server and mapped with the data obtained from other systems. So a system is designed which extracts the power values and send it to the web server with the correct timestamp in order to map it with the data received. The final system provides real time visualization on a web application of the angle and the power measurement and how it varies with the pedaling strokes .