TY - GEN
T1 - Attention allocation for multi-modal perception of human-friendly robot partners
AU - Toda, Yuichiro
AU - Kubota, Naoyuki
PY - 2013/10/22
Y1 - 2013/10/22
N2 - This paper proposes a method of attention allocation for multi-modal perception of humanfriendly robot partners based on various types of sensors built in a smart phone. First, we propose human and object detection method using octagonal templates based on evolutionary robot vision. Next, we propose an integration method for estimating human behaviors based on the human detection using color image by the multi-layered spiking neural network using the time series of positions of human and object. Furthermore, we propose a method of attention allocation based on the time series of human behavior recognition. Finally, we show several experimental results of the proposed method, and discuss the future direction on this research.
AB - This paper proposes a method of attention allocation for multi-modal perception of humanfriendly robot partners based on various types of sensors built in a smart phone. First, we propose human and object detection method using octagonal templates based on evolutionary robot vision. Next, we propose an integration method for estimating human behaviors based on the human detection using color image by the multi-layered spiking neural network using the time series of positions of human and object. Furthermore, we propose a method of attention allocation based on the time series of human behavior recognition. Finally, we show several experimental results of the proposed method, and discuss the future direction on this research.
KW - Computational Intelligence
KW - Human Robot Interaction
KW - Multi-modal Perception
KW - Robot Partners
KW - Robot Vision
UR - http://www.scopus.com/inward/record.url?scp=84885791634&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84885791634&partnerID=8YFLogxK
U2 - 10.3182/20130811-5-US-2037.00054
DO - 10.3182/20130811-5-US-2037.00054
M3 - Conference contribution
AN - SCOPUS:84885791634
SN - 9783902823410
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 324
EP - 329
BT - 12th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human - Machine Systems, HMS 2013 - Proceedings
T2 - 12th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human - Machine Systems, HMS 2013
Y2 - 11 August 2013 through 14 August 2013
ER -