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