Citation

Zhu M, Li G, Huang Q, Li D, Du J. Int. J. Occup. Safety Ergonomics 2022; ePub(ePub): ePub.

Copyright

(Copyright © 2022, Centralny Instytut Ochrony Pracy - Państwowy Instytut Badawczy, Publisher Informa - Taylor and Francis Group)

DOI

10.1080/10803548.2022.2035087

PMID

35098892

Abstract

Analyzing eye movements of workers in safe and unsafe can reduce accidents. With a video-based method, angular velocity of gaze direction (AVGD) represented 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: (1) Root mean square and movement frequency of AVGD can be used to recognize unsafe behaviors. (2) 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. (3) In operations with attention target change, eye movement rules of workers in safe and unsafe behavior depend on operation types. The results can provide features for unsafe behavior recognition and theoretical bases for safety training.

Language: en

Keywords

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