Analysis of eye movements of workers in safe and unsafe behaviors using a video-based method

Abstract

Analyzing eye movements of workers in safe and unsafe behaviors can reduce accidents. With a video-based method, the angular velocity of gaze direction (AVGD) represents micro-movements in gaze and angular velocity in saccade is used to analyze eye movements. A similar behavior simulation experiment is designed to collect operation videos, and an eye movement information extraction and processing framework is constructed to quantify and analyze eye movements. The results show that: the root mean square and movement frequency of AVGD can be used to recognize unsafe behavior; in operations with attention target fixation, compared with safe behavior, workers in unsafe behavior have higher angular velocity, movement frequency and turn frequency of eye movements; and in operations with attention target change, eye movement rules of workers in safe and unsafe behaviors depend on operation types. The results can provide features for unsafe behavior recognition and theoretical bases for safety training.

Keywords:

• unsafe behavior
• movement analysis
• eye movement
• video-based
• angular velocity

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the MOE (Ministry of Education in China) Project of Humanities and Social Sciences [grant number 17XJC630004]; Sichuan Science and Technology Program [grant number 2018SZ0351].