Research on Gesture Recognition Method Based on Computer Vision
Gesture recognition is an important way of human-computer interaction.With time going on,people are no longer satisfied with gesture recognition based on wearable devices,but hope to perform gesture recognition in a more natural way.Computer vision-based gesture recognition can transfer human feelings and instructions to computers conveniently and efficiently,and improve the efficiency of humancomputer interaction significantly.The gesture recognition based on computer vision is mainly based on hidden Markov,dynamic time rounding algorithm and neural network algorithm.The process is roughly divided into three steps: image collection,hand segmentation,gesture recognition and classification.This paper reviews the computer vision-based gesture recognition methods in the past 20 years,analyses the research status at home and abroad,summarizes its current development,the advantages and disadvantages of different gesture recognition methods,and looks forward to the development trend of gesture recognition technology in the next stage.
Xianghan Wang Jie Jiang Yingmei Wei Lai Kang Yingying Gao
Department of Systems Engineering,National University of Defense Technology,Changsha 410000,China
国际会议
上海
英文
1-6
2018-10-12（万方平台首次上网日期，不代表论文的发表时间）