標題: | Design and Implement a Mobile Badminton Stroke Classification System |
作者: | Lin, Juyi Chang, Chia-Wei Wang, Chih-Hao Chi, Hong-Chuan Yi, Chih-Wei Tseng, Yu-Chee Wang, Chih-Chuan 交大名義發表 資訊工程學系 National Chiao Tung University Department of Computer Science |
公開日期: | 1-Jan-2017 |
摘要: | The use of the badminton stroke strategy in the evenly matched game is often the key to victory. In this work, a smart racket based on wearable seusors is proposed to collect the data of swing of badminton. A cell phone APP with machine learning techniques is implemented to record stroke types automatically. In each stroke hit event, this prototype system uses Bluetooth earphone to collect the sound for detecting the accuracy time. It uses the data of IMU in each stroke for determining stroke type. Compared to IMU only solution, the system will reduce the false count of stroke hit. Using cloud techniques could record the training and game record in a long period. Overall the accuracy of stroke hit event is almost 100% by using voice print. The data of IMU is classified by Random Forest or SMO. The accuracy for personal model is 95.91 %, and it is 79.32% for general model. We develop a stroke record system which is combined with Wearable sensor, Mobile platform and Cloud service. |
URI: | http://hdl.handle.net/11536/146861 |
期刊: | 2017 19TH ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (APNOMS 2017): MANAGING A WORLD OF THINGS |
起始頁: | 235 |
結束頁: | 238 |
Appears in Collections: | Conferences Paper |