Recognition Punches in Karate Using Acceleration Sensors and Convolution Neural Networks
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9312710/09559989.pdf?arnumber=9559989
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. The Role of Emergent Technologies in the Dynamic and Kinematic Assessment of Human Movement in Sport and Clinical Applications;Applied Sciences;2024-01-24
2. Automated Evaluation of Karate Practitioners’ Style during the First Kata Performance using Deep Learning and Pose Estimation;2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES);2023-10-21
3. Karate Kata Style Classification Using Pose Landmarks and Deep Learning;2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES);2023-10-21
4. Real-time Detection of Taikyoku Shodan Karate Kata Poses Using Classical Machine Learning and Deep Learning Models;2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC);2023-09-27
5. The use of mobile solutions for biomechanical assessment in combat sports: A narrative review;Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology;2023-09-26
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