In the present study, a particle filter (PF) was used to predict a possible range, rather than the specific coordinates, of foot positions. The PF was used in ...

Oct 17, 2021 · In the present study, a particle filter (PF) was used to predict a possible range, rather than the specific coordinates, of foot positions. The ...

Abstract—Avoiding collisions with humans during daily life is essential in human–robot interaction (HRI) environments.

Predict Human Motion of Walk with Probability Distributions by Combining Machine Learning and Particle Filter. A Wang, Y Makino, M Fujiwara, H Shinoda. 2021 ...

Predict Human Motion of Walk with Probability Distributions by Combining Machine Learning and Particle Filter. SMC 2021: 600-606. [+][–]. Coauthor network.

A machine learning-based system named "Computational Foresight" that can forecast human body motion 0.5 seconds before the actual motion in real-time.

Predict Human Motion of Walk with Probability Distributions by Combining Machine Learning and Particle Filter. Conference Paper. Oct 2021. Ansheng Wang ...

In this article, a novel motion model-based particle filter implementation is proposed to classify human motion and to estimate key state variables, ...

Abstract—We present a motion planning algorithm to com- pute collision-free and smooth trajectories for high-DOF robots interacting with humans in a shared ...

Saboune et al. [11] combined the Dynamic Bayesian Network (DBN) with an Interval Particle Filter (IPF) to track human walking. The DBN is a temporal ...