Motion capture method and system of robotic arm, medium, and electronic device

Abstract

The invention provides a motion capture method of a robotic arm, including: fastening a visual sensor on a robotic arm to acquire data as a source domain, fastening an inertial sensor on a corresponding human arm to acquire data as a target domain, and establishing a state space expression of a system; setting an optimal unknown state observed joint distribution by using a total probability theory and an observed prediction distribution of the source domain as a condition, decomposing a conditional joint observed distribution model, and solving an optimal distribution using KL divergence; and transferring knowledge of the source domain measured by the visual sensor into the target domain measured by the inertial sensor based on a Kalman filter and the total probability theory, performing data fusion based on Kalman filtering, and predicting a state of the system at a next moment to implement motion capture of the robotic arm.

Dependencies are inferred from the claim text.