Quantification of arm joint motion for monitoring badminton performance using MEMS based wearable sensor

Vadanayagam Stephen, Alvin Jacob (2017) Quantification of arm joint motion for monitoring badminton performance using MEMS based wearable sensor. Masters thesis, Universiti Tun Hussein Onn Malaysia.

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Abstract

Recent advancement in wearable sensor technology has made a significant impact in the field of sports performance analysis, as it dramatically changes the conventional ways of training athletes. Sensor based systems help coaches to monitor, interpret and analyse athlete’s performance, where technology is used to train professionals. This study aims to develop a Wearable Sensor System (WSS) to monitor and quantify a badminton players arm motion, especially the wrist and elbow joint when performing serve and drive strokes. Current monitoring systems are unable to classify player’s competency level, due to insufficient technology to quantify joint variables and subsequent analysis on related badminton movement. However, previous studies suggest the vision-based systems, either using high-speed cameras or pre-recorded video analysis; but both systems are costly and are inconsistent in monitoring a badminton player due to environmental conditions (excessive lighting). Therefore, two monitoring modules are developed for the WSS. First, Hand Wrist Monitoring Module (HWMM) that uses flex sensors to measure player’s finger flexion and Inertia Measurement Units (IMU) to measure wrist rotation angle. Second, Elbow Monitoring Module (EMM) that used one IMU sensor to measure elbow joint rotation angle. Additionally, Real Time Operating System (RTOS) is implemented to manage simultaneous sensor data acquisition for synchronisation between monitoring modules. As a result, the WSS provides reliability and accuracy up to 95% for static joint motion measurements. Encouragingly, 6 out of 19 players were found to have improvements in their serve technique, whereas 12 players were able to perform a drive stroke with more than 80% similarities with the coach. Therefore, these findings emphasise the importance of a monitoring tool to help improve a badminton player’s performance, where it contributes by enhancing the coaching process by providing statistical and quantified movement data.

Item Type:Thesis (Masters)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
ID Code:9917
Deposited By:Mr. Mohammad Shaifulrip Ithnin
Deposited On:27 Mar 2018 11:26
Last Modified:27 Mar 2018 11:26

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