BIOMIMETIC DECODING OF SENSORIMOTOR INTENSION WITH ARTIFICIAL NEURAL NETWORKS

    公开(公告)号:US20240350285A1

    公开(公告)日:2024-10-24

    申请号:US18686027

    申请日:2022-08-24

    摘要: Various examples are provided related to biomimetics and use of ANNs for decoding and control. In one example. a method includes generating muscle model parameters by a musculoskeletal kinematic transformation implemented by a first artificial neural network. generating one or more physics engine parameters from a muscle model, and generating a physics engine transformation implemented by a second artificial neural network based at least in part upon the one or more physics engine parameters. The muscle model parameters can be based at least in part upon sensor inputs and the one or more physics engine parameters can be based at least in part the muscle model parameters. A sensorimotor mechanism can be controlled based on the physics engine transformation. In another example. a system for prosthetic control includes a plurality of sensors and processing circuitry configured to control a sensorimotor mechanism based upon the physics engine transformation.