International Symposium on Affective Science and Engineering • Vol ISASE2020 • No 0
Time Series Human Motion Prediction Using RGB Camera and OpenPose
January 2020 • Andi Prademon Yunus, Nobu C. Shirai, Kento Morita, Tetsushi Wakabayashi
The report projects that by 2050, the population aged 60 and above will reach 2.1 billion. This aging society is more likely to suffer from locomotive syndrome. In order to reduce the spread of locomotive syndrome, it is best to increase awareness before the citizens become elderly. We propose the system to predict human motion as the first step to realize the locomotive syndrome estimation. Previous researches were using the Kinect camera which has a depth sensor that the camera used to detect the pose of a human…