SoC Design for Mobile Real-time Badminton Stroke Classification Design

Wen Hsin Tsai, Kuei Ann Wen

研究成果: Conference contribution同行評審

摘要

This paper provides an innovative mobile real-time badminton stroke classification platform. Badminton is one of the fastest racket-based sport. Since it's difficult for eye-detecting the fast movements, camera system as Vicon are used for stroke detection but with high cost and limited space. We proposed a real-time badminton stroke classification system with a single IMU (Inertial Measurement Unit) mounted on the racket. In consideration of low power design for specific SoC to embedded on the racket, the computation complexity is highly reduced without using deep learning approaches. The accuracy rate can reach to 90.3%. Test chip have been implemented in TSMC 0.18 μm process. Die size is 760.6 μm by 740.0 μm and power dissipation is 0.0097mW.

原文English
主出版物標題Proceedings - International SoC Design Conference 2022, ISOCC 2022
發行者Institute of Electrical and Electronics Engineers Inc.
頁面316-317
頁數2
ISBN(電子)9781665459716
DOIs
出版狀態Published - 2022
事件19th International System-on-Chip Design Conference, ISOCC 2022 - Gangneung-si, Korea, Republic of
持續時間: 19 10月 202222 10月 2022

出版系列

名字Proceedings - International SoC Design Conference 2022, ISOCC 2022

Conference

Conference19th International System-on-Chip Design Conference, ISOCC 2022
國家/地區Korea, Republic of
城市Gangneung-si
期間19/10/2222/10/22

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