Human-Machine Interaction Sensing Technology Based on Hand Gesture Recognition: A Review

被引:115
|
作者
Guo, Lin [1 ]
Lu, Zongxing [1 ]
Yao, Ligang [1 ]
机构
[1] Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350116, Fujian, Peoples R China
基金
中国国家自然科学基金;
关键词
Sensors; Gesture recognition; Data gloves; Muscles; Electrodes; Acoustics; Sensor phenomena and characterization; Hand gesture recognition (HGR); human machine interaction (HMI); information acquisition; sensors; LEAP MOTION; SYSTEM; GLOVE; CLASSIFICATION; PROSTHESES;
D O I
10.1109/THMS.2021.3086003
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Human machine interaction (HMI) is an interactive way of information exchange between human and machine. By collecting the information that can be conveyed by the person to express the intention, and then transforming and processing the information, the machine can work according to the intention of the person. However, the traditional HMI including mouse, keyboard etc. usually requires a fixed operating space, which limits people's actions and cannot directly reflect people's intentions. It requires people to learn systematically how to operate skillfully, which indirectly affects work efficiency. Hand gesture, as one of the important ways for human to convey information and express intuitive intention, has the advantages of high degree of differentiation, strong flexibility and high efficiency of information transmission, which makes hand gesture recognition (HGR) as one of the research hotspots in the field of HMI. In order to enable readers to systematically and quickly understand the research status of HGR and grasp the basic problems and development direction of HGR, this article takes the sensing method used by HGR technology as the entry point, and makes a detailed elaboration and systematic summary by referring to a large number of research achievements in recent years.
引用
收藏
页码:300 / 309
页数:10
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