Takashi Matsubara

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Recent advances in information technology are making electric household appliances computerized and networked. If our environments could intuit our activities, e.g., by sensors, novel services taking anticipated actions into account would become possible. We propose activity recognition that infers a subject’s next action based on previously observed(More)
Recent development of information technology is making electric household appliances computerized and networked. If the environments surrounding us could recognize our activities indirectly by sensors, the novel services, which respect our activities, can be possible. In this paper, we propose human activity recognition system, which infers the next human(More)
In this paper, we propose the human behavior detection and activity support environment Vivid Room. Human behaviors in Vivid Room are detected by many kinds of sensors embedded in the room (i.e. magnet sensors for doors/drawers, micro-switches for chairs, ID-tags for humans.) and that information is collected by sensor server via RF-tag system and LAN. In(More)
Recent development of information technology is making electric household appliances computerized and networked. If the environments surrounding us could recognize our activities indirectly by sensors, the novel services, which respect our activities, can be possible. In this paper, we propose human activity recognition system, which infers the next human(More)
A generalized asynchronous cellular automaton-based neuron model is a special kind of cellular automaton that is designed to mimic the nonlinear dynamics of neurons. The model can be implemented as an asynchronous sequential logic circuit and its control parameter is the pattern of wires among the circuit elements that is adjustable after implementation in(More)
A spiking neuron model described by an asynchronous cellular automaton is introduced. Our model can be implemented as an asynchronous sequential logic circuit and its control parameter is adjustable after implementation in an FPGA. It is shown that our model can reproduce twenty types of dynamic response behaviors observed in biological and other model(More)