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Work Environment Monitoring of Workers Using Wearable Sensor and Helmet  

Gu, Ye-Jin (Electronic Engineering, Pukyong University)
Kim, Jong-Jin (Electronic Engineering, Pukyong University)
Chung, Wan-Young (Electronic Engineering, Pukyong University)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.20, no.2, 2019 , pp. 91-98 More about this Journal
Abstract
Accidents of worker that occur in isolated places are difficult to rescue, unlike general construction accidents. There is a problem of communication limitation when an accident occurs in an isolated place. Also, it is difficult to search the accident place due to the absence of CCTV. In order to solve these problems, this paper proposes a device that combines IoT technology with a safety helmet, which must be worn in the workplace. The proposed device additionally designs and implements a real-time PPG(Photoplethysmography) sensor, body temperature sensor, accelerometer sensor and a camera sensor on the helmet. The proposed helmet system allows the user and the control center to monitor the state of the worker. In addition, when an abnormal biological signal or fall occurs to the worker, the image is transmitted to the control center. By using the proposed system, it is possible to check the status of the worker in real time, so that it has an advantage that it can cope with the accident quickly.
Keywords
Photoplethysmography; Stress; Fall Detection; 3-axis accelerometer; Camera;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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