| Deep, convolutional, and recurrent models for human activity recognition using wearables NY Hammerla, S Halloran, T Ploetz Proceedings of the Twenty-Fifth International Joint Conference on Artificial …, 2016 | 1157 | 2016 |
| Remote Monitoring of Stroke Patients' Rehabilitation using Wearable Accelerometers S Halloran, L Tang, Y Guan, JQ Shi, J Eyre ACM International Symposium on Wearable Computers (ISWC), 2019 | 20 | 2019 |
| Evaluating upper limb function after stroke using the free-living accelerometer data L Tang, S Halloran, JQ Shi, Y Guan, C Cao, J Eyre Statistical methods in medical research 29 (11), 3249-3264, 2020 | 13 | 2020 |
| Remote cloud-based automated stroke rehabilitation assessment using wearables S Halloran, JQ Shi, Y Guan, X Chen, M Dunne-Willows, J Eyre 2018 IEEE 14th International Conference on e-Science (e-Science), 302-302, 2018 | 1 | 2018 |
| An analysis of human movement accelerometery data for stroke rehabilitation assessment S Halloran Newcastle University, 2020 | | 2020 |
| Comments on: Data science, big data and statistics JQ Shi, S Halloran TEST 28 (2), 353-356, 2019 | | 2019 |
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