Elbow motion trajectory prediction using a multi-modal wearable system : a comparative analysis of machine learning techniques

• Main Authors: Little, Kieran, Pappachan, Bobby Kaniyamkudy, Yang, Sibo, Noronha, Bernardo, Campolo, Domenico, Accoto, Dino
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Mechanical engineering; Motion Intention Detection; Assistive Robotics
• Online Access: https://hdl.handle.net/10356/147409
• Institution: Nanyang Technological University

Motion intention detection is fundamental in the implementation of human-machine interfaces applied to assistive robots. In this paper, multiple machine learning techniques have been explored for creating upper limb motion prediction models, which generally depend on three factors: the signals colle...