Application of Deep Learning to Develop a Safety Confirmation System for the Elderly in a Nursing Home
Masaru Kawakami, Shogo Toba, Kohei Fukuda, Shinya Hori, Yuki Abe, Koichi Ozaki · Journal of Robotics and Mechatronics · 2017
[abstFig src='/00290002/07.jpg' width='210' text='The motion detection system' ] Fall accident prevention is one of the most important issues in elderly care settings. To prevent an accident, it is necessary to notify caregivers if the elderly person is getting out of bed. We have previously developed a posture discrimination system based on body motions. Herein, we propose a discrimination method by using machine learning to improve the performance of the system. A purpose of this study is to evaluate the proposed method. Elderly people in a nursing home were chosen as subjects in this study. We analyzed the body motion data during bed rest and bed exit of the subjects using the proposed method. These results suggest that it is effective.