Abstract
The cognitive state of the main control room (MCR) operator is the state of cognitive progress. This paper proposes a video analysis method to assist in the analysis of the operation state. A behavioral coding method is presented for the feature extraction of the MCR operator, and the time-line analysis method is used to continuously sample the operator’s postures and actions. OpenPose algorithm and ST-GCN method are used for the recognition of the operator’s behavior. The level of consciousness and cognition is analyzed based on the operator’s body language and used to evaluate the level of mental stress in performance shaping factors (PSF). A case is presented for the feasibility analysis of the operation state evaluation method. The results of the video analysis help recognize the operator’s bad or error behavior and improve the operator’s operation state.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
