Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (22): 68-77.DOI: 10.3778/j.issn.1002-8331.2105-0314

• Research Hotspots and Reviews • Previous Articles     Next Articles

Summary of Dynamic Gesture Recognition Based on Vision

XIE Yinggang, WANG Quan   

  1. 1.Institute of Information and Communication, Beijing Information Science & Technology University, Beijing 100101, China
    2.Key Laboratory of Modern Measurement and Control Technology Ministry of Education, Beijing Information Science & Technology University, Beijing 100101, China
  • Online:2021-11-15 Published:2021-11-16



  1. 1.北京信息科技大学 信息与通信工程学院,北京 100101
    2.北京信息科技大学 现代测控技术教育部重点实验室,北京 100101


Gestures have played a very important role in human communication since ancient times, and the visual dynamic gesture identification technology is to use new technologies such as computer vision and IOT(Internet of Things) perception, and 3D visual sensors, allowing the machine to understand human gestures, thus making humanity and machine more good communication, because of far-reaching research significance for human-machine interaction. The sensor techniques used in dynamic gesture identification are introduced, and the technical parameters of the related sensors are compared. By tracking the dynamic gesture recognition technology of vision at home and abroad, the processing process of dynamic gesture recognition is first stated:gesture detection and segmentation, gesture tracking, gesture classification. By comparing the methods involved in each process, it can be seen that deep learning has strong fault tolerance, robustness, high parallelism, anti-interference, etc., which has achieved great achievements above the traditional learning algorithm in the field of gesture identification. Finally, the challenges currently encountering and the future possible development of dynamic gesture identification are analyzed.

Key words: visual dynamic gesture identification, gesture detection and segmentation, gesture tracking, gesture classification, gesture recognition



关键词: 视觉动态手势识别, 手势检测与分割, 手势追踪, 手势分类, 手势识别