Real-world Validation Study of Daily Activity Detection for the Elderly

Miyoung Cho, Jinhyeok Jang, Jaeyeon Lee, Minsu Jang, Dohyung Kim, Jaehong Kim

Abstract: The development of artificial intelligence has led to significant progress in activity detection; however, a proper evaluation of the activity detection performance is not guaranteed and is still lacking in real-life environments. In this study, to verify the stability and usefulness of activity detection in a real-world setting, we analyzed the activity detection performance for 40 elderly people using a human care robot.