骨格認識と音響解析を用いた異常事態把握アルゴリズムの提案

抄録

In recent years, the use of robots to address the shortage of human resources in the fields of nursing and care has been attracting attention. However, most of the conventional guardian robots introduce only a single recognition element, and there are few examples of practical applications. In this study, we propose a system for understanding abnormal situations using two recognition elements, skeletal recognition and acoustic analysis. In this paper, we analyze actual abnormal sound samples in order to investigate the functions and elements of this system. In addition, we compare the detection of the subject and the abnormal posture using image recognition and skeletal recognition, and examine the usefulness of the system.