Prediction of Human Motion with Motion Optimization and Neural Networks

Human motion prediction is a crucial foundation for efficient and safe human-robot cooperation. In order to improve the accuracy of long-term motion prediction, an approach combining initial trajectory prediction and motion optimization is proposed. The neural network model is applied to model the human hand motion for initial prediction. Then, we utilize the Gradient Descent method to optimize th...