Explainable AI Based Neck Direction Prediction and Analysis Using Yolov8

The research focuses on using the YOLOv8 model to detect and analyze neck rotation following head collisions in order to propose preventive healthcare treatments. The location and orientation of the neck must be measured and monitored in order to predict its trajectory during such impacts. The experiment, which replicates movements like flexion and lateral rotation based on American football scenarios and simulates minor head hits, will involve ten volunteers—five male and five female. The research focuses on using the YOLOv8 model to detect and analyze neck rotation following head collisions in order to propose preventive healthcare treatments. The location and orientation of the neck must be measured and monitored in order to predict its trajectory during such impacts. The experiment, which replicates movements like flexion and lateral rotation based on American football scenarios and simulates minor head hits, will involve ten volunteers—five male and five female.