Audience: For archives, content owners, researchers, art lovers
Core technologies: Machine learning models and rendering methods for creating synthetic media and movement material, based on Open Sound Control protocols. Motion capture and analysis (data stream recording, pose estimation, motion classifier, a motion clustering tool), ML-based generative motion (motion transformation, blending and continuation, generating motions for a second dancer in a duet, simulating motions of non-anthropomorphic morphologies), motion sonification algorithms (physical model synthesis of wind instruments), motion visualization (Raymarching 3D graphics renderer, DeepDream ML-based image processing)
Application: Motion and sound creation – Converging physical and artificial forms of embodied creativity