Badminton Activity Recognition and Player Assessment based on Motion Signals using Deep Residual Network-Reference-Cited by-同舟云学术

Badminton Activity Recognition and Player Assessment based on Motion Signals using Deep Residual Network

Published:2022-10-21 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)
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Author:

Mekruksavanich Sakorn¹,Jantawong Ponnipa¹,Hnoohom Narit²,Jitpattanakul Anuchit³

Affiliation:

1. University of Phayao,School of Information and Communication Technology,Department of Computer Engineering,Phayao,Thailand

2. Faculty of Engineering, Mahidol University,Image, Information and Intelligence Laboratory,Department of Computer Engineering,Nakhon Pathom,Thailand

3. Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok,Intelligent and Nonlinear Dynamic Innovations Research Center,Department of Mathematics,Bangkok,Thailand

Funder

Thailand Science Research and Innovation

University of Phayao

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9930113/9930145/09930147.pdf?arnumber=9930147

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