Comparison of orientation-independent-based-independent-based movement recognition system using classification algorithms

摘要

In the past decade, the accelerometer has been used to enable activity recognition in different application domains. In recent years, the accelerometer in a smartphone is also being applied to provide unobtrusive movement recognition. Majority of the existing investigations requires the orientation of the sensor device to be fixed. By applying the orientation-independent approach, proposed by Mizell, this requirement may be relaxed. In this paper, we compare the recognition accuracy using classification algorithms built from raw and orientation-independent acceleration data. The evaluations, based on acceleration data collected from five users, have shown that the application of the orientation-independent approach achieves accuracy up to 88 %. The trade-off of relaxing the requirement of fixed-orientation is around 5–6 %.