TY - GEN
T1 - Predicting the state of a person by an office-use autonomous mobile robot
AU - Kouno, Asuki
AU - Takayama, Daisuke
AU - Suzuki, Einoshin
PY - 2012/12/1
Y1 - 2012/12/1
N2 - In this paper we construct an office-use autonomous mobile robot which predicts the state (either stressed, relaxed, usual, or non-existent) of a person at different places and navigates between the places. The productivity of an office worker in advanced countries is a crucial concern and we believe autonomous mobile robots without network connection and with a privacy switch are preferred to privacy-offending solutions such as monitoring cameras. We exploit recent advances in hardware and software to keep the construction cost low. The state prediction of a person in an office is based on support vector machines with image processing with stereo vision. The robot navigation between the prediction places is based on a look-around solution that we devised. Experiments using 8 hours of data gave promising results.
AB - In this paper we construct an office-use autonomous mobile robot which predicts the state (either stressed, relaxed, usual, or non-existent) of a person at different places and navigates between the places. The productivity of an office worker in advanced countries is a crucial concern and we believe autonomous mobile robots without network connection and with a privacy switch are preferred to privacy-offending solutions such as monitoring cameras. We exploit recent advances in hardware and software to keep the construction cost low. The state prediction of a person in an office is based on support vector machines with image processing with stereo vision. The robot navigation between the prediction places is based on a look-around solution that we devised. Experiments using 8 hours of data gave promising results.
UR - http://www.scopus.com/inward/record.url?scp=84878430693&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84878430693&partnerID=8YFLogxK
U2 - 10.1109/WI-IAT.2012.183
DO - 10.1109/WI-IAT.2012.183
M3 - Conference contribution
AN - SCOPUS:84878430693
SN - 9780769548807
T3 - Proceedings - 2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2012
SP - 80
EP - 84
BT - Proceedings - 2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2012
T2 - 2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2012
Y2 - 3 December 2012 through 6 December 2012
ER -