基于深度信息的动态手势识别综述

doi:10.11896／j.issn.1002-137X.2018.12.006

Abstract

Abstract: With the rapid development of computer technology,natural,simple and non-contact gesture recognition is favored in human-computer interaction.Dynamic gesture recognition has always been a hot and difficult issue in the field of human-computer interaction.In order to understand the development status of dynamic gestures,this paper described the dynamic gestures based on depth information from four aspects of gesture segmentation,gesture modeling,feature extraction and gesture recognition based on the extensive investigation of the existing literature and the latest achievements,introduced the applications of dynamic gesture recognition,and discussed the existing difficulties and problems.

Key words: Depth information, Dynamic gesture recognition, Feature extraction, Gesture segmentation, Human-computer interaction

CLC Number:

TP391

CHEN Tian-tian, YAO Huang, ZUO Ming-zhang, TIAN Yuan, YANG Meng-ting. Review of Dynamic Gesture Recognition Based on Depth Information[J].Computer Science, 2018, 45(12): 42-51.

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