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Human localization based on spiking neural network in intelligent sensor networks

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4 Author(s)
Takenori Obo ; Tokyo Metropolitan University, Japan ; Naoyuki Kubota ; Kazuhiko Taniguchi ; Toshiyuki Sawayama

This paper proposes a human localization method in sensor networks for monitoring elderly people. First, we explain the proposed intelligent sensor networks. Next, we apply a spiking neural network to extract feature points for human localization from a measurement data by sensor networks. Furthermore, we propose a learning method using spiking neural network based on the time series of measurement data. Finally, we discuss the effectiveness of proposed method through experimental results in a living room.

Published in:

Robotic Intelligence In Informationally Structured Space (RiiSS), 2011 IEEE Workshop on

Date of Conference:

11-15 April 2011