This study presents an accident detection model using a head-mounted display (HMD) device to prevent casualties caused by falls and material collisions at construction sites. The model utilizes simulations to generate data on head movements during accident scenarios. By comparing this data with animation data that represents normal conditions, the model performs binary classification to identify whether a situation is hazardous or safe. This study ...