근로자의 신체적 안정 예측을 위한 시스템 설계

Abstract

In this paper, we propose the system that can predict a physical stability of workers engaged in industries by using various information such as the sleep state, activity state and heartbeat state of workers. The proposal have the characteristic of enhancing the classification of physical stability index by applying semi-supervised learning. The proposed system is expected to prevent industrial accidents caused by lack of physical stability.