A machine learning approach to k-step look-ahead prediction of gait variables from acceleration data

• Published in: Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.) Vol. 2009; p. 384
• Main Authors: Lai, Daniel T H, Shilton, Alistair, Charry, Edgar, Begg, R, Palaniswami, M
• Format: Journal Article
• Language: English
• Published: United States 2009
• Subjects: Acceleration; Adult; Algorithms; Artificial Intelligence; Computer Simulation; Female; Foot - physiology; Gait - physiology; Humans; Male; Models, Biological; Walking - physiology

This paper investigates the use of machine learning to predict a sensitive gait parameter based on acceleration information from previous gait cycles. We investigate a k-step look-ahead prediction which attempts to predict gait variable values based on acceleration information in the current gait cy...