Estimation of Self-Posture of a Pedestrian Using MY VISION Based on Depth and Motion Network

In recent years, an increasing aging rate has become a serious problem worldwide. Due to the fatal fall of elderly people over the age of 65, the elderly need care. However, there are relatively few young people who can care for elderly people and there is a shortage of human resources. Therefore, elderly people need to take measures by themselves to prevent falls. It is more convenient and useful to measure their own walking posture by themselves, rather than measuring their walking posture from another person’s viewpoint using special facilities. This paper proposes a method of analyzing one’s walking posture from chest-mounted camera images. The goal is to help elderly people improve their walking posture by the feedback of analyzed posture in order to prevent a falls.