EPSRC Centre for Doctoral Training Cloud Computing for Big Data


Shane Halloran

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.


Jian Shi


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 accelerometersHalloran, 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