People
Shane Halloran
- Email: s.halloran1@ncl.ac.uk
PhD title
Learning a Lexicon of Human Movements
Matching accelerometer data from smart watches to recovery level of patients. This allows us to monitor patients cheaply and remotely.
Supervisor
Publications
Deep, convolutional, and recurrent models for human activity recognition using wearables - Hammerla, N.Y. Halloran, S. Ploetz, T. - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16) - 2016
Remote cloud-based automated stroke rehabilitation assessment using wearables - Halloran, S, Shi, J. Guan, Y Chen, X. Dunne Willows, M Eyre J - Presented in Data Handling and Analytics for Health Workshop of the 14th annual IEEE eScience conference - 2018
Remote monitoring of stroke patients’ rehabilitation using wearable accelerometers - Halloran, S. Tang, L. Guan, Y. Shi, J. Eyre, J - ACM International Symposium on Wearable Computers, London, UK - 2019
Evaluating upper limb function after stroke using the free-living accelerometer data - Halloran, S. Tang, L. et al - Statistical Methods for Medical Research 2019 - Journal paper, currently under review