多模态人因风险评估驱动的访问控制模型OA

In production environments,personnel management is a critical component of security management,and emotion is often a significant factor influencing personnel performance.This paper proposes an intelligent access control model driven by the results of a multi-modal human factors risk assessment.The model monitors the emotional state of operators in real-time and uses it as a basis to assess risk levels to provide early warnings,dynamically adjust operational permissions,and thereby ensure system security.Firstly,this paper constructs a multi-modal emotion recognition module that fuses results from both vocal and fa-cial emotion recognition to compensate for the informational deficiencies of single-modality methods and monitor the emotional state of the operator in real time.Secondly,this paper adopts the risk matrix method to quantify the possibility of risks and the se-verity of their consequences,and uses the results of multimodal emotion recognition as the basis to assess the human factor risk level in real time.Finally,this paper uses the assessed human factors risk level as a decision-making basis to adjust operator per-missions in real-time,restricting sensitive behaviors under high-risk conditions.The proposed model correlates the emotional state of operators with their system operation permissions,thereby achieving transformation in human factors security manage-ment from reactive response to proactive adjustment.