TY - GEN
T1 - Research on Projection Interaction Based on Gesture Recognition
AU - Cao, Zhiwei
AU - He, Weiping
AU - Wang, Shuxia
AU - Zhang, Jie
AU - Wei, Bingzhao
AU - Li, Jianghong
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - With the continuous emergence and vigorous development of various new technologies in the information age, human-computer interaction is also changing constantly. People are increasingly connected with the virtual world, so it is necessary to study more natural ways of human-computer interaction. Projection interaction is one of the most important interaction methods. The purpose of this paper is to study how to overcome the misoperation problem caused by foreign objects (interferers) in the environment of projection interaction (Fig. 1 c). The method (named after FDGR) adopted is to use the fingertip detection algorithm based on user habits in image processing and the gesture recognition algorithm based on Leap Motion to complete the accurate and convenient natural human-computer interaction. Through user experiments, the experiences of completing the fixed assembly task in the mode of projection (P), gesture (G) and FDGR (PG) were compared, and the data was processed and analyzed. The experimental results showed that FDGR could effectively overcome the misoperation caused by foreign objects (interferers) and the non-intuitiveness of simple gestures, and effectively improved the user's operating experience.
AB - With the continuous emergence and vigorous development of various new technologies in the information age, human-computer interaction is also changing constantly. People are increasingly connected with the virtual world, so it is necessary to study more natural ways of human-computer interaction. Projection interaction is one of the most important interaction methods. The purpose of this paper is to study how to overcome the misoperation problem caused by foreign objects (interferers) in the environment of projection interaction (Fig. 1 c). The method (named after FDGR) adopted is to use the fingertip detection algorithm based on user habits in image processing and the gesture recognition algorithm based on Leap Motion to complete the accurate and convenient natural human-computer interaction. Through user experiments, the experiences of completing the fixed assembly task in the mode of projection (P), gesture (G) and FDGR (PG) were compared, and the data was processed and analyzed. The experimental results showed that FDGR could effectively overcome the misoperation caused by foreign objects (interferers) and the non-intuitiveness of simple gestures, and effectively improved the user's operating experience.
KW - Gesture recognition
KW - Picture processing
KW - Projection interaction
UR - http://www.scopus.com/inward/record.url?scp=85119822738&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-90176-9_40
DO - 10.1007/978-3-030-90176-9_40
M3 - 会议稿件
AN - SCOPUS:85119822738
SN - 9783030901752
T3 - Communications in Computer and Information Science
SP - 311
EP - 317
BT - HCI International 2021 - Late Breaking Posters - 23rd HCI International Conference, HCII 2021, Proceedings
A2 - Stephanidis, Constantine
A2 - Antona, Margherita
A2 - Ntoa, Stavroula
PB - Springer Science and Business Media Deutschland GmbH
T2 - 23rd International Conference on Human-Computer Interaction, HCII 2021
Y2 - 24 July 2021 through 29 July 2021
ER -