3D human pose estimation is a computer vision-based technology that detects and analyzes human posture. The video describes not an end product, but the technology research done by MobyDab, and it could be implemented in your solution. Now let's see how 3D human pose estimation works. Neural network analyzes video and detects three-dimensional coordinates of a number of joints on the human body. For each moment, the AI can take into account the data from past, present, and future video frames in order to make more accurate prediction of the current pose of the person. Once the neural network is trained to detect certain types of movements, it can identify and analyze them. The technology could be applied in healthcare, construction, education, and any other sphere. For example, AI can inspect recorded fitness exercises and highlight users' mistakes. The application records the user performing an exercise and sends the video to the cloud. Then the video is split into individual frames. Video is analyzed to indicate the beginning and the end of the exercise, then a trained neural network is run to extract the position of the key points on the human body that will form a virtual skeleton. The virtual skeleton is checked through geometry-based rules and the mistakes in the exercise are pinpointed. The AI fitness coach sends its recommendations and best wishes back to the user. 3D human pose estimation technology may be applied by our team in your own products. Please feel free to contact us with your questions and ideas.