Matsushita Electric Industrial Co., Ltd.

Noriko Kaneda

Hiroshi Yamamoto

Kousuke Hara

Shigeyuki Inoue

Reiko Ueno

Shinji Tanaka

Takashi Omori

An abnormality detection device includes small motion sensors that detect small motions of a person in a house; a data collecting unit that collects and stores sensor signals from the small motion sensors as sensor patterns, and a Markov chain operating unitthat transforms the sensor patterns into a cluster sequence by vector-quantizing input patterns which are obtained by averaging and normalizing the sensor patterns, and calculates a transition number matrix and a duration time distribution of a Markov and so on using a Markov chain model. The abnormality detection device also includes a comparing unit that calculates a characteristic amount (Euclid distance and average log likelihood in an appearance frequency of a Markov chain and an average log likelihood to the duration time distribution of a Markov chain) of a sample activity as against a daily activity based on the obtained transition number matrix and the duration time distribution and so on.

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Kobe, Japan

Noriko Kaneda