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Journal article

LUGODA, P., HAYES, S.C., HUGHES-RILEY, T., TURNER, A., MARTINS, M.V., COOK, A., RAVAL, K., OLIVEIRA, C., BREEDON, P. and DIAS, T., 2022. Classifying gait alterations using an instrumented smart sock and deep learning. IEEE Sensors. ISSN 1530-437X

HAYES, S.C., WHITE, M., WILCOX, C.R.J., WHITE, H.S.F. and VANICEK, N., 2022. Biomechanical differences between able-bodied and spinal cord injured individuals walking in an overground robotic exoskeleton. PLOS ONE, 17 (1): e0262915. ISSN 1932-6203

Chapter in book

TURNER, A., SCOTT, D. and HAYES, S., 2022. The classification of multiple interacting gait abnormalities using insole sensors and machine learning. In: S.I. AHAMED, C.A. ARDAGNA, H. BIAN, M. BOCHICCHIO, C.K. CHANG, R.N. CHANG, E. DAMIANI, L. LIU, M. PAVEL, C. PRIAMI, H. SHAHRIAR, R. WARD, F. XHAFA, J. ZHANG and F. ZULKERNINE, eds., Proceedings of the 2022 IEEE International Conference On Digital Health (IEEE ICDH 2022). Hybrid Conference Barcelona, Spain 11-15 July 2022. Piscataway, NJ: Institute of Electrical and Electronics Engineers. ISBN 9781665481496