“…Therefore, just simply applying a method for HAR based on deep learning itself is no longer a novel idea, and development of the state-of-the-art deep learning technique for HAR is not our aim. The reason why we still adopt a method based on deep learning in this study is that it outperformed other traditional pattern recognition methods such as k-nearest neighbor, Gaussian mixture model (GMM), a decision tree, and support vector machine (SVM) [6,9]. Additionally, the reason why we adopt the smartphone as a sensor device in this study is that users may not feel an obtrusiveness from it, 2 akira tamamori, et al Overview of our target life-logging system [6]; The system sends the recognition result, the subject's activity to their smartphone.…”