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This paper deals with sensor arrangement for activity classification of the people, who lives alone, with pyroelectric sensors, so that the classification system acquires as high performance with as small sensor numbers as possible. We suggest some heuristic algorithms for approximate optimization of sensor combination, and some machine learning algorithms for exact optimization of feature selection which corresponds to that of sensor selection. For some examinations, we confirmed the significance of automatic arrangement system by comparing the quasi-optimized sensor arrangement acquired by above algorithms with the arrangement by human judge.

robotikusu, mekatoronikusu koenkai koen gaiyoshu

2A1-E01 Sensor Arrangement for Life Activity Classification with Pyroelectric Sensors : Arrangement for Saving Sensors and Quasi-maximizing the Classification Precision