A Recurrent Neural Network Enhanced Unscented Kalman Filter for Human
Motion Prediction
A Recurrent Neural Network Enhanced Unscented Kalman Filter for Human
Motion Prediction
This paper presents a deep learning enhanced adaptive unscented Kalman filter (UKF) for predicting human arm motion in the context of manufacturing. Unlike previous network-based methods that solely rely on captured human motion data, which is represented as bone vectors in this paper, we incorporate a human arm dynamic model …