Review of constraints on vision-based gesture recognition for human-computer interaction

被引：139
|
作者：
Chakraborty, Biplab Ketan [1 ]
Sarma, Debajit [1 ]
Bhuyan, M. K. [1 ]
MacDorman, Karl F. [2 ]
机构：
[1] IIT, Dept Elect & Elect Engn, Gauhati 781039, India
[2] Indiana Univ, Sch Informat & Comp, 535 West Michigan St, Indianapolis, IN 46202 USA
来源：
IET COMPUTER VISION | 2018年 / 12卷 / 01期
关键词：
gesture recognition; man-machine systems; feature extraction; vision-based gesture recognition; human-computer interaction; hand gesture recognition; sign language; medical assistance; virtual reality; diverse contexts; multiple interpretations; spatio-temporal variations; complex nonrigid properties; feature recognition; SIGN-LANGUAGE RECOGNITION; 2D MOTION TRAJECTORIES; HAND POSTURE; VISUAL RECOGNITION; SEGMENTATION; INTERFACE; SPEECH; ROBUST; CLASSIFICATION; DESCRIPTOR;
D O I：
10.1049/iet-cvi.2017.0052
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The ability of computers to recognise hand gestures visually is essential for progress in human-computer interaction. Gesture recognition has applications ranging from sign language to medical assistance to virtual reality. However, gesture recognition is extremely challenging not only because of its diverse contexts, multiple interpretations, and spatio-temporal variations but also because of the complex non-rigid properties of the hand. This study surveys major constraints on vision-based gesture recognition occurring in detection and pre-processing, representation and feature extraction, and recognition. Current challenges are explored in detail.
引用
收藏
页码：3 / 15
页数：13
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