Skeleton Based Keyframe Detection Framework for Sports Action Analysis: Badminton Smash Case
Author:
Affiliation:
1. Department of Computer Science, College of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
2. Department of Computer Systems Engineering, Palestine Technical University–Kadoorie, Tulkarm, Palestine
Funder
Ministry of Science and Technology, Taiwan
Center for Open Intelligent Connectivity from The Featured Areas Research Center Program within the Higher Education Sprout Project framework
Ministry of Education (MOE) in Taiwan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10226183.pdf?arnumber=10226183
Reference38 articles.
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3. A brief analysis of multi-ball training in badminton;liu;Frontiers in Educational Research,2020
4. Node Detection and Tracking in Smart Cities Based on Internet of Things and Machine Learning
5. Automatic Badminton Action Recognition Using CNN with Adaptive Feature Extraction on Sensor Data
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