Human activity recognition using single accelerometer on smartphone put user's head with head-mounted display

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Fais Al Huda, Herman Tolle, Kurnia Prima Putra

2017 International Journal of Advances in Soft Computing and its Applications Vol. 9 Issue 3 Article Cited by 4

Abstract

Human activity recognition has been applied to many areas of healthcare to the entertainment sector. The accelerometer sensor on a smartphone is used as the primary sensor to recognize the movement of the user. The smartphone put onto user's head using the head-mounted display as a new experience on entertainment access like virtual reality or game application. The proposed method for human activity recognition with MLP on classification, achieved 85,1% accuracy in identifying six different movement type.

Affiliations

Multimedia, Game and Mobile Technology Research Group, Faculty of Computer Science, University of Brawijaya, Malang, Indonesia