Tatsuhito Hasegawa

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In this study, we improved the usability of smartphones by automating a user's operations. We developed an intelligent system using machine learning techniques that periodically detects a user's context on a smartphone. We selected the Android operating system because it has the largest market share and highest flexibility of its development environment. In(More)
In this study, we propose State Magic, which estimates the smartphone state using various sensors as standard equipment. Smartphone state means smartphone location such as placing it in a pocket or putting it on a desk. If a smartphone can estimate its own state, developers can create various consumer support applications, such as an application for(More)
In English vocabulary learning, continuation is an important factor; however, many learners are not good at continuing learning because they tend to prefer amusement or rest. Our proposed system is targeting learners who are eager to learn but are not able to continue learning for various reasons. We especially focused on English vocabulary learning, and(More)
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