Realtime Online Daily Living Activity Recognition Using Head-Mounted Display

Fais Al Huda, Herman Tolle, Rosa Andrie Asmara


Human activity recognition is one of the popular research fields. The results of this study can be applied to many other fields such as the military, commercialism, and health. With the advent of the wearable head mounted display device mainly like google glass raises the possibility of this research. In this study tries to identify everyday activities are often called the ambient activity. Development of the system is done online using a smartphone and a head mounted display. The system produces an accuracy above 90%, which can be concluded that the system was able to recognize the activities with great accuracy.


Android; head mounted display; accelerometer; sensor

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International Journal of Interactive Mobile Technologies (iJIM) – eISSN: 1865-7923
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