Research on Key Technologies of Hand Function Rehabilitation Training Evaluation System Based on Leap Motion

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ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org

"Research on Key Technologies of Hand Function Rehabilitation Training Evaluation System Based on Leap Motion"
written by Zhiguo Xiao, Yifei Zhao, Nianfeng Li, Shang Zhou, Hu Xu,
published by Journal of Computer and Communications, Vol.9 No.1, 2021

has been cited by the following article(s):

[1]	Efficient gesture recognition for the assistance of visually impaired people using multi-head neural networks
	Engineering Applications of Artificial …, 2022

[2]	Key Technologies and Discrete Dynamic Modeling Analysis of Online Travel Planning System Based on Big Data Scenario Aware Service
	Discrete Dynamics in Nature and Society, 2021

[3]	Research on the Function of Automatic Evaluation of English Grades Based on Data Mining
	2021 5th Annual International Conference on Data …, 2021

[1]	Efficient gesture recognition for the assistance of visually impaired people using multi-head neural networks Engineering Applications of Artificial Intelligence, 2022 DOI:10.1016/j.engappai.2022.105188

[2]	Key Technologies and Discrete Dynamic Modeling Analysis of Online Travel Planning System Based on Big Data Scenario Aware Service Discrete Dynamics in Nature and Society, 2021 DOI:10.1155/2021/3244179

[3]	Research on the Function of Automatic Evaluation of English Grades Based on Data Mining 2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA), 2021 DOI:10.1109/ICDSBA53075.2021.00020

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