TY - GEN
T1 - A Gesture Recognition System for Cranes Using Deep Learning with a Self-attention Mechanism
AU - Watanabe, Keigo
AU - Maimaitimin, Maierdan
AU - Yamamoto, Kazuki
AU - Nagai, Isaku
N1 - Publisher Copyright:
© 2022 The Society of Instrument and Control Engineers.
PY - 2022
Y1 - 2022
N2 - This research is aimed at recognizing the gesture of a lifting coordinator and automating the operation of a crane by introducing a system with deep learning. This paper first explains the outline of a gesture recognition system, and describes skeletal detection and its accuracy improvement technique. Furthermore, a gesture recognition system is constructed using a 1DCNN, and the recognition accuracy is verified to be improved by introducing a self-attention mechanism.
AB - This research is aimed at recognizing the gesture of a lifting coordinator and automating the operation of a crane by introducing a system with deep learning. This paper first explains the outline of a gesture recognition system, and describes skeletal detection and its accuracy improvement technique. Furthermore, a gesture recognition system is constructed using a 1DCNN, and the recognition accuracy is verified to be improved by introducing a self-attention mechanism.
KW - Crane
KW - Deep Learning
KW - Gesture Recognition
KW - Skeleton Detection
UR - http://www.scopus.com/inward/record.url?scp=85128848320&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85128848320&partnerID=8YFLogxK
U2 - 10.23919/SICEISCS54350.2022.9754520
DO - 10.23919/SICEISCS54350.2022.9754520
M3 - Conference contribution
AN - SCOPUS:85128848320
T3 - Proceedings of 2022 SICE International Symposium on Control Systems, SICE ISCS 2022
SP - 87
EP - 94
BT - Proceedings of 2022 SICE International Symposium on Control Systems, SICE ISCS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 SICE International Symposium on Control Systems, SICE ISCS 2022
Y2 - 8 March 2022 through 10 March 2022
ER -