Ubiquitous Sensors based Human Behavior Modeling and Recognition using a Spatio-Temporal Representation of User States

Authors:
Yoshinori Isoda;Shoji Kurakake;Hirotaka Nakano
Affiliations:
-;-;-
Venue:
AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
Year:
2004

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Abstract

There has been much research on user activityassistance applications using the location of users andobjects as context. However people's activities aredescribed in terms of time sequence aspect in addition tolocation aspect. Therefore, it is important for enhanceduser activity support systems to consider the user'scontext in terms of spatio-temporal constraints. In thispaper, we propose a user activity assistance system thatemploys a state sequence description scheme to describethe user's contexts. In this scheme, each state is describedas a spatio-temporal relationship between the user andobjects in the real world. Typical sets of states are storedas models of tasks performed by a user. To try out thissystem, we have developed an experimental housecontaining various embedded sensors and RFID-taggedobjects. Each state is detected by a decision treeconstructed by a C4.5 algorithm using the output of thesensors and the RFID tags. The user's context is obtainedby matching the detected state series to a task model.Having evaluated the performance of the proposed systemin this experimental house, we conclude that our system isan effective way of acquiring the user's spatio-temporalcontext.