@inproceedings{e018352cd829483286593efdcf93cb69,
title = "SoC Design for Mobile Real-time Badminton Stroke Classification Design",
abstract = "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.",
keywords = "application specific integrated circuit, badminton stroke, inertial measurement unit (IMU), real-time",
author = "Tsai, {Wen Hsin} and Wen, {Kuei Ann}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 19th International System-on-Chip Design Conference, ISOCC 2022 ; Conference date: 19-10-2022 Through 22-10-2022",
year = "2022",
doi = "10.1109/ISOCC56007.2022.10031311",
language = "English",
series = "Proceedings - International SoC Design Conference 2022, ISOCC 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "316--317",
booktitle = "Proceedings - International SoC Design Conference 2022, ISOCC 2022",
address = "United States",
}