Research theme: Human-centred computing
Developing innovative human-centred computing techniques to address real-world challenges in healthcare technology, skills-focused games and data privacy.
About our research
About our research
Our research focuses on computer automation and human interaction, including:
-
computer image and video analysis
-
visual computing
-
affective computing
-
augmented and virtual reality
-
human-computer interaction
-
human perception and attention
-
serious games and gamification - where the objective is to learn or practice a skill, rather than entertainment
-
individual data privacy
-
computational cardiac and skeletal physiology
Our interdisciplinary collaborations aim to provide new innovations for the detection and improvement of conditions such as dementia and diabetes, human motion analysis for rehabilitation and serious games within healthcare.
We work with a range of public bodies and charities, with funding from The Royal Society, Engineering and Physical Sciences Research Council, Innovate UK and Cancer Research UK.
These projects are exploring ageing, facial wrinkles detection and inpainting for mobile applications, early detection of cancer and medical image analysis.
Our facilities
Our visual computing laboratory includes facilities for:
-
graphics processing - we have six graphics processing units (including one sponsored by computer graphics company Nvidia)
-
facial analysis - including high-speed cameras and a specialist machine for micro-expressions research
-
human motion analysis - including two types of depth sensors to measure movement
We promote reproducible research by creating novel datasets and code sharing with other researchers.
Our datasets contribute to two international research challenges in micro-expressions analysis and diabetic foot ulcers analysis.
Selected projects
-
Key publications
- Lloyd, H, Crossley, M, Sinclair, M and Amos M (2021) J-POP: Japanese Puzzles as Optimization Problems IEEE Transactions on Games
- Cunningham, S and McGregor, I (2021) Evaluating Use of the Doppler Effect to Enhance Auditory Alerts International Journal of Human–Computer Interaction, 1(14) pp 1074-1087
- Jam, J, Kendrick, C, Drouard, V, Walker, K, Hsu, GS and Yap, MH (2021) R-MNET: A perceptual adversarial network for image inpainting. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp 2714-2723
- Benouis, M, Mostefai, L, Costen, N and Regouid, M (2021) ECG based biometric identification using one-dimensional local difference pattern Biomedical Signal Processing and Control, 64
- Henry, J, Tang, S, Mukhopadhyay, S and Yap, MH (2021) A randomised control trial for measuring student engagement through the Internet of Things and serious games Internet of Things, 13, p 100332
- Yap, MH, Hachiuma, R, Alavi, A, Brüngel, R, Cassidy, B, Goyal, M, Zhu, H, Rückert, J, Olshansky, M, Huang, X, Saito, H, Hassanpour, S, Friedrich, CM, Ascher, D, Song, A, Kajita, H, Gillespie, D, Reeves, ND, Pappachan, J, O’Shea, C and Frank, E (2021) Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation Computers in Biology and Medicine
- Darby, J, Sánchez, MB, Bew, S, Loram, I, Butler, P (2020) The development of a video retrieval system using a clinician-led approach Expert Systems with Applications, 142
- Maudsley-Barton, S, Yap, MH, Bukowski, A, Mills, R and McPhee, J (2020) A new process to measure postural sway using a Kinect depth camera during a Sensory Organisation Test Plos one, 15(2)
- Davison, AK, Lansley, C, Costen, N, Tan, K and Yap, MH (2018) SAMM: A Spontaneous Micro-Facial Movement DatasetIEEE Transactions on Affective Computing, 9(1), pp 116-129
- Cunningham, RJ, Harding, PJ and Loram, ID (2016) Real-time ultrasound segmentation, analysis and visualisation of deep cervical muscle structure IEEE transactions on medical imaging, 36(2), pp 653-665
- Adeniran, I, MacIver, DH, Hancox, J and Zhang, H (2015) Abnormal calcium homeostasis in heart failure with preserved ejection fraction is related to both reduced contractile function and incomplete relaxation: An electromechanically detailed biophysical modelling study Frontiers in Physiology, 6(78)
Contact us
Contact us
You can contact individual members of the team through their staff profiles.
For general enquiries, please contact research theme lead Dr Moi Hoon Yap.