Gesture recognition for human–machine interaction in table tennis video based on deep semantic understanding-Reference-Cited by-同舟云学术

Gesture recognition for human–machine interaction in table tennis video based on deep semantic understanding

Published:2020-02 Issue: Volume:81 Page:115688
ISSN:0923-5965
Container-title:Signal Processing: Image Communication
language:en
Short-container-title:Signal Processing: Image Communication

Author:

Xu Shuping,Liang Lixin,Ji Chengbin

Funder

the Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference32 articles.

1. Guangnan Ye, et al. Large-scale video hashing via structure learning, in: Proceedings of the IEEE International Conference on Computer Vision, 2013.

2. Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method;Du;Bioinformatics,2016

3. Why does unsupervised pre-training help deep learning?;Erhan;J. Mach. Learn. Res.,2010

4. Gesture recognition: A survey;Mitra;IEEE Trans. Syst. Man Cybern. Part C,2007

5. Real-time human pose recognition in parts from single depth images;Shotton;Cvpr,2011

Cited by 21 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. Adaptive temporal aggregation for table tennis shot recognition;Neurocomputing;2024-06

2. Athlete Action Recognition Algorithm in Table Tennis;2024 IEEE 4th International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB);2024-04-19

3. Using complex networks and multiple artificial intelligence algorithms for table tennis match action recognition and technical-tactical analysis;Chaos, Solitons & Fractals;2024-01

4. Correlation analysis of structural characteristics of table tennis players' hitting movements and hitting effects based on data analysis;Entertainment Computing;2024-01

5. Virtual Personal Assistant by Using Hand Gesture and Voice Assistant for Disabilities;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14