Remote Monitoring and Universal Remote Control Based on iPhone in Informationally Structured Space

This paper proposes a monitoring and remote control system based on human localization in informationally structured space using a sensor network. First, we explain informationally structured space, robot partners, remote control system for home appliances, and sensor networks for human motion measurement developed in this study. Next, we apply a spiking neural network to extract a person from the measured data by the sensor network. Furthermore, we propose a learning method of spiking neural network based on the time series of measured data. Finally, we discuss the effectiveness of the proposed methods through experimental results in a living room.