Evaluation of Cervical Position and Movement Sense Using a Novel Computer Vision-Based Software

This observational study evaluates cervical proprioception using a computer vision-based system developed with OpenCV and MediaPipe. Healthy adults will perform a series of head movements while their nose tip is tracked by a camera. The primary objective is to assess the accuracy of neck position and movement perception. Data will be analyzed to determine the reliability of the tracking system. The study is non-invasive, involves no interventions, and poses minimal risk to participants. Findings may support the development of accessible diagnostic tools for clinical and research applications.