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Recently, monitoring human activities using smart-phone sensors, such as accelerometers, magnetometers, and gyro-scopes, has been proved effective to improve productivity in daily work. Since human activities differ largely among individuals, it is important to adapt their model to each individual with a small amount of his/her data. In this paper, we propose a user adaptation method using Learning...
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