Open Access Pose Estimation (OAPE) project in a non-for profit organization which aims to disseminate the use pose estimation for physical therapists, kinesiologists, neuroscientists and all other clinicians and scholars who are not professional in computer programming and working with APIs.
What is pose estimation?
Pose estimation is a computer vision technique that detects and tracks the positions of key points on a human body, such as joints (shoulders, elbows, knees, etc.), in images or video. The system creates a skeletal representation (pose) of the person, allowing for real-time analysis of movements. Pose estimation provides precise data on joint angles, posture, and alignment during different movements. This allows therapists to objectively assess a patient’s range of motion and biomechanics.
Therapists can use pose estimation to monitor improvements in a patient’s movement patterns over time. By comparing current movement with previous data, they can evaluate progress in rehabilitation and adjust treatments accordingly.
By analyzing biomechanics through pose estimation, therapists can identify abnormal movement patterns that could lead to injury. Early detection helps in designing interventions to correct faulty mechanics, promoting safer and more efficient movement.