首页|Vision-Based Hand Gesture Recognition for Human-Computer Interaction——A Survey

Vision-Based Hand Gesture Recognition for Human-Computer Interaction——A Survey

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Recently,vision-based gesture recognition (VGR) has become a hot research spot in human-computer interaction (HCI).Unlike other gesture recognition methods with data gloves or other wearable sensors,vision-based gesture recognition could lead to more natural and intuitive HCI interactions.This paper reviews the state-of-the-art vision-based gestures recognition methods,from different stages of gesture recognition process,i.e.,(1) image acquisition and pre-processing,(2) gesture segmentation,(3) gesture tracking,(4) feature extraction,and (5) gesture classification.This paper also analyzes the advantages and disadvantages of these various methods in detail.Finally,the challenges of vision-based gesture recognition in haptic rendering and future research directions are discussed.

vision-based gesture recognitionhuman-computer interactionstate-of-the-artfeature extraction

GAO Yongqiang、LU Xiong、SUN Junbin、TAO Xianglin、HUANG Xiaomei、YAN Yuxing、LIU Jia

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College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, Jiangsu, China

School of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China

Supported by the National Natural Science Foundation of ChinaSupported by the National Natural Science Foundation of ChinaFundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central UniversitiesNanjing University of Aeronautics and Astronautics)Scholarship from China Scholarship

6177320561773219NS2016032NS2019018

2020

武汉大学自然科学学报(英文版)
武汉大学

武汉大学自然科学学报(英文版)

CSTPCDCSCD
影响因子：0.066
ISSN：1007-1202
年,卷(期)：2020.25(2)
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