Real-time walking gait terrain classification from foot-mounted Inertial Measurement Unit using Convolutional Long Short-Term Memory neural network

• Published in: Expert systems with applications Vol. 203; p. 117306
• Main Authors: Moura Coelho, Rui, Gouveia, João, Botto, Miguel Ayala, Krebs, Hermano Igo, Martins, Jorge
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.10.2022
• Subjects: Convolutional Neural Network; Gait terrain; Inertial Measurement Unit; Long Short-Term Memory; Real-time classification; Convolutional Neural Network; Gait terrain; Real-time classification; Long Short-Term Memory; Inertial Measurement Unit

We propose a novel online real-time gait terrain detection algorithm from the measurements of a foot-mounted Inertial Measurement Unit (IMU), using a shallow cascaded Convolutional and Long Short-Term Memory neural network (CNN-LSTM). Gait data is acquired from healthy subjects walking in an unstruc...