Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
Name : 34th Fuzzy System Symposium
Number : 34
Location : [in Japanese]
Date : September 03, 2018 - September 05, 2018
In construction sites, there occurs many industrial accidents. Also, with the aging of engineers and the lack of successors, worker’s burdens on jobs are increasing. Thus, it is concern about an increase in occupational accidents. In particular, it is thought that the probability of artificial mistake increases with decreasing concentration due to fatigue. Therefore, it is important to grasp states of workers constantly and to work out a safety measures. In existing research, there are some approaches to grasp the degree of fatigue and stress from blood and heart electric waves. However, these methods are not suitable for grasping the state of the operator in real time. On the other hand, with the development of sensor technology in recent years, smart watches that can measure heartbeat easily and inexpensively have attracted a public attention. If fatigue could be detected by smart watches, it would be possible to manage safety effectively. Therefore, in this research, we try to detect the degree of fatigue using heart rate data of smartwatch and verify its applicability.
