Taketoshi Mori

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This paper proposes a behavior prediction system for supporting our daily lives. The behaviors in daily-life are recorded in an environment with embedded sensors, and the prediction system learns the characteristic patterns that would be followed by the behaviors to be predicted. In this research, the authors applied a method of discovering time-series(More)
This paper describes applying image recognition techniques to the stained image captured by wound blotting. The wound blotting adsorbs the proteins on the wound surface and visualizes protein distribution as a stained image. The local patterns of the stained image may indicate wound healing. For investigation of relationship between pressure ulcer healing(More)
This paper presents three behavior labeling algorithms based on supervised learning using accumulated pyroelectric sensor data in the living space. We summarize features of each algorithm to use them in combination matched to usage of the livelihood support application. They are (a)labeling algorithms based on switching model around a behavioral(More)
A tiny absolute orientation estimating device equipped with a network function has been developed using accelerometers and magnetometers to estimate gravity and the geomagnetic field, respectively. Because accelerometers measure motion other than gravity, a method has been proposed to eliminate the effect of motion. An estimation method is proposed that(More)
In this paper, we develop an absolute orientation estimation device equipped with a wireless network. Accelerometers and magnetometers are used to measure the gravity and the geomagnetic field respectively. Gyroscope sensors are used to measure the local angular velocity. The geomagnetic field varies according to the environment. Therefore the device can(More)