Kohei Adachi, Tsuyoshi Okita, Sozo Inoue,
MotionCapture system achieved promising results in Human Activity Recognition(HAR). However, it was time consuming such as preparation and post processing. Thus, we thought use 3D estimation method as alternative one. However, some error is occurred in 2D and 3D estimation and it is possible to some affect in HAR. In this paper, we investigated method of HAR using 2D and 3D pose estimation. Then, we compared result of HAR using 2D and 3D estimation pose.