Hand and Arm Gesture-based Human-Robot Interaction: A Review
September 17, 2022 ยท The Cartographer ยท ๐ International Conference on Advancements in Computational Sciences
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"Title-pattern auto-detect: Hand and Arm Gesture-based Human-Robot Interaction: A Review"
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Authors
Xihao Wang, Hao Shen, Hui Yu, Jielong Guo, Xian Wei
arXiv ID
2209.08229
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.RO
Citations
12
Venue
International Conference on Advancements in Computational Sciences
Last Checked
3 days ago
Abstract
The study of Human-Robot Interaction (HRI) aims to create close and friendly communication between humans and robots. In the human-center HRI, an essential aspect of implementing a successful and effective HRI is building a natural and intuitive interaction, including verbal and nonverbal. As a prevalent nonverbally communication approach, hand and arm gesture communication happen ubiquitously in our daily life. A considerable amount of work on gesture-based HRI is scattered in various research domains. However, a systematic understanding of the works on gesture-based HRI is still lacking. This paper intends to provide a comprehensive review of gesture-based HRI and focus on the advanced finding in this area. Following the stimulus-organism-response framework, this review consists of: (i) Generation of human gesture(stimulus). (ii) Robot recognition of human gesture(organism). (iii) Robot reaction to human gesture(response). Besides, this review summarizes the research status of each element in the framework and analyze the advantages and disadvantages of related works. Toward the last part, this paper discusses the current research challenges on gesture-based HRI and provides possible future directions.
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