JRM Vol.24 No.2 pp. 320-329
doi: 10.20965/jrm.2012.p0320


Predicting Behaviors of Residents by Modeling Preceding Action Transition from Trajectories

Taketoshi Mori, Shoji Tominaga, Hiroshi Noguchi,
Masamichi Shimosaka, Rui Fukui, and Tomomasa Sato

The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan

October 11, 2011
January 16, 2012
April 20, 2012
behavior modeling, eventmining, time-series association rule
The smooth provision of support to residents by information display systems or robots will essentially require that their behaviors be appropriately grasped and that predictions be made that allow some margin for preparations. In this paper, we offer new perspectives by proposing a novel method to predict residents’ behaviors. The proposed method mainly consists of the following two phases: (1) to grasp the chains of residents’ potential actions from their trajectories, and then, (2) to identify the rules of association between residents’ behaviors, subject behavior to support and their last actions. In order to verify the performance of the proposedmethod in predicting residents’ behaviors, we have conducted experiments using two residents’ trajectories that have been tracked for around one year.
Cite this article as:
T. Mori, S. Tominaga, H. Noguchi, M. Shimosaka, R. Fukui, and T. Sato, “Predicting Behaviors of Residents by Modeling Preceding Action Transition from Trajectories,” J. Robot. Mechatron., Vol.24 No.2, pp. 320-329, 2012.
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