RADiCAL Motion

RADiCAL (RadicalMotion) – RADiCAL is an AI-powered motion capture platform that turns 2D videos into 3D animations, known for making mocap accessible to anyone with a camera. With RADiCAL, users can upload a single-camera video of a person moving – such as dancing, exercising, or acting out a scene – and the cloud-based AI will generate a corresponding 3D skeleton animation of that movement.

The service is markerless and doesn’t require multiple camera angles; it learns to infer depth and full-body pose from the single view. While single-camera mocap has limits (e.

g., if an arm is totally hidden behind the body, any system must guess its position), RADiCAL’s algorithms have been trained on lots of motion data to make educated estimates, often capturing the essence of the motion quite well. The output can be previewed with a 3D stick figure on RADiCAL’s site and then downloaded (with a subscription) for use in animation software or game engines. RADiCAL also has a real-time implementation – through its app or integrations – where you can see the motion capture happening live, which is useful for virtual production or live avatars. The community aspect is notable: many indie devs and creators share their RADiCAL capture tests on social media, showing how you can get decent mocap at home with just a phone. It’s widely used for pre-viz, indie game dev, and by hobbyist animators due to a free trial tier and ease of use. In summary, RADiCAL (RadicalMotion) exemplifies the modernization of mocap: using AI to let anyone capture human motion without suits or studios. It’s not perfect for every scenario, but it’s continually improving and is already a game-changer for those who couldn’t afford mocap before – bridging the gap between a simple video and a fully rigged 3D performance in a matter of minutes.