All Outputs (2)

Classifying gait alterations using an instrumented smart sock and deep learning (2022)
Journal Article
Lugoda, P., Hayes, S. C., Hughes-Riley, T., Turner, A., Martins, M. V., Cook, A., …Dias, T. (2022). Classifying gait alterations using an instrumented smart sock and deep learning. IEEE sensors journal, 22(23), 23232-23242. https://doi.org/10.1109/JSEN.2022.3216459

This paper presents a non-invasive method of classifying gait patterns associated with various movement disorders and/or neurological conditions, utilising unobtrusive, instrumented socks and a deep learning network. Seamless instrumented socks were... Read More about Classifying gait alterations using an instrumented smart sock and deep learning.

Biomechanical differences between ablebodied and spinal cord injured individuals walking in an overground robotic exoskeleton (2022)
Journal Article
Hayes, S. C., White, M., Wilcox, C. R. J., White, H. S. F., & Vanicek, N. (2022). Biomechanical differences between ablebodied and spinal cord injured individuals walking in an overground robotic exoskeleton. PLoS ONE, 17(1), Article e0262915. https://doi.org/10.1371/journal.pone.0262915

Background Robotic assisted gait training (RAGT) uses a powered exoskeleton to support an individual's body and move their limbs, with the aim of activating latent, pre-existing movement patterns stored in the lower spinal cord called central pattern... Read More about Biomechanical differences between ablebodied and spinal cord injured individuals walking in an overground robotic exoskeleton.