Oludamilare Matthews
Cited by
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Unobtrusive arousal detection on the web using pupillary response
O Matthews, A Davies, M Vigo, S Harper
International Journal of Human-Computer Studies 136, 102361, 2020
Combining trending scan paths with arousal to model visual behaviour on the web: a case study of neurotypical people vs people with autism
O Matthews, S Eraslan, V Yaneva, A Davies, Y Yesilada, M Vigo, ...
Proceedings of the 27th acm conference on user modeling, adaptation and …, 2019
Moodbook: an application for continuous monitoring of social media usage and mood
H Zhang, S Gashi, H Kimm, E Hanci, O Matthews
Proceedings of the 2018 ACM international joint conference and 2018 …, 2018
Inferring the mood of a community from their walking speed: a preliminary study
O Matthews, Z Sarsenbayeva, W Jiang, J Newn, E Velloso, S Clinch, ...
Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018
Ubiquitous mobile sensing: Behaviour, mood, and environment
A Visuri, K Opoku Asare, E Kuosmanen, Y Nishiyama, D Ferreira, ...
Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018
Sensing arousal and focal attention during visual interaction
O Matthews, M Vigo, S Harper
Proceedings of the 20th ACM International Conference on Multimodal …, 2018
Towards arousal sensing with high fidelity detection of visual focal attention
O Matthews, M Vigo, S Harper
Measuring Behavior 2018, 2018
Computational methods for predicting human behaviour in smart environments
R Dunne, O Matthews, J Vega, S Harper, T Morris
Journal of Ambient Intelligence and Smart Environments 15 (2), 179-205, 2023
Sensing Physiological Arousal and Visual Attention During User Interaction
O Matthews
PQDT-Global, 2019
Unobtrusive Arousal Detection on The Web Using Pupillary
O Matthews, A Davies, M Vigo, S Harper
A Group Progress report submitted to The University of Manchester for the degree of MSc in Advanced Computer Science in the Faculty of Engineering and Physical Sciences
O Folaranmi, O Matthews, J Akande
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