Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 12th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human - Machine Systems, HMS 2013 - Proceedings |
| Pages | 324-329 |
| Number of pages | 6 |
| Volume | 12 |
| Edition | PART 1 |
| DOIs | |
| Publication status | Published - Oct 22 2013 |
| Externally published | Yes |
| Event | 12th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human - Machine Systems, HMS 2013 - Las Vegas, NV, United States Duration: Aug 11 2013 → Aug 14 2013 |
Other
| Other | 12th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human - Machine Systems, HMS 2013 |
|---|---|
| Country | United States |
| City | Las Vegas, NV |
| Period | 8/11/13 → 8/14/13 |
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Keywords
- Computational Intelligence
- Human Robot Interaction
- Multi-modal Perception
- Robot Partners
- Robot Vision
ASJC Scopus subject areas
- Control and Systems Engineering
Cite this
Attention allocation for multi-modal perception of human-friendly robot partners. / Toda, Yuichiro; Kubota, Naoyuki.
12th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human - Machine Systems, HMS 2013 - Proceedings. Vol. 12 PART 1. ed. 2013. p. 324-329.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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
SN - 9783902823410
VL - 12
SP - 324
EP - 329
BT - 12th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human - Machine Systems, HMS 2013 - Proceedings
ER -