TY - GEN
T1 - Extracting human behaviors with infrared sensor network
AU - Honda, Seiichi
AU - Fukui, Ken Ichi
AU - Moriyama, Koichi
AU - Kurihara, Satoshi
AU - Numao, Masayuki
PY - 2007/12/1
Y1 - 2007/12/1
N2 - We consider a framework that learns human habitual behaviors from the data obtained by various kinds of sensors installed in an environment, so that the environment can interact with us based on those patterns. In this paper, we achieved extracting human behaviors by infrared sensor network as an initial step for the framework. Infrared sensor network is able to track us without putting an extra burden on us. Moreover it is able to collect long-term data. However, tracking with it has two problems, that is, link miss and incorrect link. In order to mitigate these problems, we propose the tracking method utilizing estimated "time distances" between sensors from movements' records. We have installed infrared sensor network in our laboratory, and validated the proposed tracking method by test courses. Afterwards, we confirmed that human behaviors can be extracted from longterm data.
AB - We consider a framework that learns human habitual behaviors from the data obtained by various kinds of sensors installed in an environment, so that the environment can interact with us based on those patterns. In this paper, we achieved extracting human behaviors by infrared sensor network as an initial step for the framework. Infrared sensor network is able to track us without putting an extra burden on us. Moreover it is able to collect long-term data. However, tracking with it has two problems, that is, link miss and incorrect link. In order to mitigate these problems, we propose the tracking method utilizing estimated "time distances" between sensors from movements' records. We have installed infrared sensor network in our laboratory, and validated the proposed tracking method by test courses. Afterwards, we confirmed that human behaviors can be extracted from longterm data.
KW - Human behaviors
KW - Infrared sensor
KW - Sensor network
KW - Tracking
UR - http://www.scopus.com/inward/record.url?scp=47149100903&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=47149100903&partnerID=8YFLogxK
U2 - 10.1109/INSS.2007.4297404
DO - 10.1109/INSS.2007.4297404
M3 - Conference contribution
AN - SCOPUS:47149100903
SN - 1424412315
SN - 9781424412310
T3 - 4th International Conference on Networked Sensing Systems, INSS
SP - 122
EP - 125
BT - 4th International Conference on Networked Sensing Systems, INSS
T2 - 4th International Conference on Networked Sensing Systems, INSS
Y2 - 6 June 2007 through 8 June 2007
ER -