Automated Detection of Construction Worker Inattention Using IMU Sensors and Visual Focus of Attention

Worker inattention is a major contributor to accidents in the construction industry, particularly falls.This study presents a novel method for automatically detecting and monitoring worker inattention in construction training simulations using Inertial Measurement Unit (IMU) sensors and Visual Focus of Attention (VFOA).The proposed system distinguishes between inattention during work tasks and movement, utilizing quaternion data from IMU sensors to infer head pose direction.A custom software program was developed to track inattention in real-time and communicate with work management systems.Validation through simulations with 20 participants demonstrated high correlations (r > 0.93) between predicted and actual measures of inattention.The system accurately detected instances of inattention during both work tasks and movement.This research provides a foundation for enhancing construction safety through automated, real-time inattention monitoring, potentially reducing fall-related accidents in construction environments.