TY - GEN
T1 - Hand and Arm Gesture-based Human-Robot Interaction
T2 - 6th International Conference on Algorithms, Computing and Systems, ICACS 2022
AU - Wang, Xihao
AU - Shen, Hao
AU - Yu, Hui
AU - Guo, Jielong
AU - Wei, Xian
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/9/16
Y1 - 2022/9/16
N2 - 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 provide possible future directions.
AB - 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 provide possible future directions.
KW - Gesture-based Communication
KW - Human-robot Interaction
UR - https://www.scopus.com/pages/publications/85147692305
U2 - 10.1145/3564982.3564996
DO - 10.1145/3564982.3564996
M3 - 会议稿件
AN - SCOPUS:85147692305
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 6th International Conference on Algorithms, Computing and Systems, ICACS 2022
PB - Association for Computing Machinery
Y2 - 16 September 2022 through 18 September 2022
ER -