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In this paper, we focus on behavior pattern extraction using sensor networks and portable sensing system. Behavior analysis is one of the most important tasks, which provides suitable information service to users. This paper proposes a pattern extraction method based on growing neural networks. The learning system is composed of two modules for feature extraction and contextual relation modeling using...
In this paper, we focus on human behavior estimation for human-robot interaction. Human behavior recognition is one of the most important techniques, because bodily expressions convey important and effective information for robots. This paper proposes a learning structure composed of two learning modules for feature extraction and contextual relation modeling, using Growing Neural Gas (GNG) and Spiking...
This paper proposes a monitoring and remote control system for supporting elderly people. First, we introduce robot partner, remote control system for home appliances, and sensor networks for human localization. Next, we apply a spiking neural network to extract a person from the measured data by the sensor network. Finally, we discuss the effectiveness of the proposed methods through experimental...
This paper proposes a human localization method in informationally structured space based on sensor network First, we explain informationally structured space, robot partners, and sensor networks developed in this study. Next, we apply a fuzzy spiking neural network to extract a person from the measured data by the sensor network. Furthermore, we propose a learning method of fuzzy spiking neural network...
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