Video annotation helps in the launching of a wide variety of AI systems in the sport and fitness sector. The AI models that are computer-vision enabled can easily interpret the human body’s movements to gather crucial information. Consequently, the applications enhance the performance of both amateurs and professionals training from home.
Skeletal annotation mostly targets the alignment and movement of the human body. While using this technique, video annotators associate lines on the body, as they join them using dots at articulation points. For instance, a wrist has a point that is linked to a line of the elbow’s point. This in turn is linked to the shoulder and more. This helps to obtain a clear image of the position of the body that is identifiable to computers. When it comes to sports use cases, the tactic is used on video which means annotators need to define the positions of the body across numerous single frames.
The movements of players can be analysed in detail. It also helps in detecting if the movement is unusual or if there is impairment. If there is an injury, immediate measures are taken to protect a player who has been injured. With the help of skeletal annotation, doctors can prevent injuries and enhance fitness.