Human Pose Detection is a computer vision technology that identifies the position and movement of a person’s body by detecting key points such as the head, shoulders, elbows, wrists, hips, knees, and ankles. Cameras or sensors capture visual information, while artificial intelligence and machine learning models analyze it to create a digital representation of the body’s posture and movement. This allows systems to understand human poses in real time.
Human Pose Detection is commonly used in healthcare, fitness applications, sports analysis, rehabilitation, gaming, robotics, and augmented reality. Its purpose is to track body movement and support accurate activity analysis. In healthcare, it can assist with rehabilitation and mobility monitoring, while fitness systems use it to evaluate exercise form. By providing detailed movement information, it enables safer, more responsive, and personalized applications.
