A knowledge-light approach to personalised and open-ended human activity recognition.
Knowl. Based Syst., 2020
FitChat: Conversational Artificial Intelligence Interventions for Encouraging Physical Activity in Older Adults.
CoRR, 2020
Heterogeneous Multi-Modal Sensor Fusion with Hybrid Attention for Exercise Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Learning to Compare with Few Data for Personalised Human Activity Recognition.
Proceedings of the Case-Based Reasoning Research and Development, 2020
Learning to Recognise Exercises in the Self-Management of Low Back Pain.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020
MEx - Multi-modal Exercise Dataset.
Dataset, October, 2019
MEx: Multi-modal Exercises Dataset for Human Activity Recognition.
CoRR, 2019
Matching networks for personalised human activity recognition.
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), 2018
Improving kNN for Human Activity Recognition with Privileged Learning Using Translation Models.
Proceedings of the Case-Based Reasoning Research and Development, 2018
Personalised Human Activity Recognition Using Matching Networks.
Proceedings of the Case-Based Reasoning Research and Development, 2018
Learning Deep and Shallow Features for Human Activity Recognition.
Proceedings of the Knowledge Science, Engineering and Management, 2017
kNN Sampling for Personalised Human Activity Recognition.
Proceedings of the Case-Based Reasoning Research and Development, 2017
SELFBACK - Activity Recognition for Self-management of Low Back Pain.
Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016