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Temitayo Olugbade
Research Associate
[email address hidden]
+44 (0)20 3108 7053 (x57053)
Room: 2.04
UCLIC, University College London
66 - 72 Gower Street
London, WC1E 6EA
United Kingdom
Brief biography
- PhD Affective Computing
University College London, UK, 2018 - MSc (Distinction) Intelligent Systems
University of Sussex, UK, 2012 - IEEE Certified Biometrics Professional, 2011
- BSc (First Class Honours) Computer Engineering
Obafemi Awolowo University, Nigeria, 2010
Current Research
I am an applied machine learning researcher with interest in various applications especially in the area of affective computing.
I currently work within the EU-funded EnTimeMent project, which aims to advance the understanding and modelling of body movement (perception) across multiple time scales and automatic adaptation of sound/music feedback to enrich movement and its communication and perception.
I am also a part of the Bentley ComfortAI project that is focused on the development of technology that is able to continuously detect multidimensional comfort experience during a car ride and so personalise the car environment in real time in order to maximise comfort.
Research Publications
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Authors
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Title
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Year
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Publication
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| Temitayo Olugbade, N Gold, A Williams, Nadia Berthouze | A Movement in Multiple Time Neural Network for Automatic Detection of Pain Behaviour | 2020 | International Conference on Multimodal Interaction, Conference paper (text), Virtual Event, Netherlands |
| Temitayo Olugbade, Joseph Newbold, Rose Johnson, E Volta, P Alborno, R Niewiadomski, M Dillon, G Volpe, Nadia Berthouze | Automatic Detection of Reflective Thinking in Mathematical Problem Solving based on Unconstrained Bodily Exploration | 2020 | IEEE Transactions on Affective Computing, Journal article |
| J Egede, S Song, Temitayo Olugbade, Chongyang Wang, A Williams, Hongying Meng, AH Min, Nic Lane, M Valstar, Nadia Berthouze | EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facialand Bodily Expressions | 2020 | FG 2020, Conference paper (text) |
| C Bao, Z Fountas, Temitayo Olugbade, Nadia Berthouze | Multimodal Data Fusion based on the Global Workspace Theory | 2020 | International Conference on Multimodal Interaction, Conference paper (text) |
| NE Gold, Chongyang Wang, Temitayo Olugbade, Nadia Berthouze, A Williams | P(l)aying Attention: Multi-Modal, Multi-Temporal Music Control | 2020 | New Interfaces for Musical Expression (NIME) 2020, Conference paper (text), Birmingham, UK (online) |
| Temitayo Olugbade, Nadia Berthouze, A Williams | Addressing emotions in behaviour change | 2019 | 2019 CBC Conference, Conference abstract/presentation slides, London, UK |
| E Volta, R Niewiadomski, Temitayo Olugbade, C Gilio, E Cocchi, Nadia Berthouze, M Gori, G Volpe | Analysis of cognitive states during bodily exploration of mathematical concepts in visually impaired children | 2019 | Affective Computing and Intelligent Interaction, Conference paper (text), Cambridge, UK |
| Temitayo Olugbade, Aneesha Singh, Nadia Berthouze, Nicolai Marquardt, MSH Aung, A Williams | How can affect be detected and represented in technological support for physical rehabilitation? | 2019 | ACM Transactions on Computer-Human Interaction (TOCHI), Journal article |
| Chongyang Wang, M Peng, Temitayo Olugbade, Nic Lane, C. Williams AC de, N Bianchi-Berthouze | Learning Temporal and Bodily Attention in Protective Movement Behavior Detection | 2019 | 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), Conference paper (text) |
| Chongyang Wang, Temitayo Olugbade, Akhil Mathur, C. Williams AC De, Nic Lane, N Bianchi-Berthouze | Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data | 2019 | UbiComp '19: The 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Conference paper (text) |
| Temitayo Olugbade, Nadia Berthouze, A Williams | The relationship between guarding, pain and emotion | 2019 | Pain Reports, Journal article |
| Temitayo Olugbade, Joseph Newbold, Rose Johnson, E Volta, P Alborno, G Volpe, Nadia Berthouze | Bodily cues of children’s learning-related experiences during mathematics problem solving | 2018 | Consortium of European Research on Emotion (CERE), Conference abstract/presentation slides, Glasgow |
| Temitayo Olugbade, Nadia Berthouze, Nicolai Marquardt, A Williams | Human Observer and Automatic Assessment of Movement Related Self-Efficacy in Chronic Pain: from Exercise to Functional Activity | 2018 | IEEE Transactions on Affective Computing, Journal article |
| Temitayo Olugbade, L Cuturi, G Cappagli, E Volta, P Alborno, Joseph Newbold, N Bianchi-Berthouze, G Baud-Bovy, G Volpe, M Gori | What Cognitive and Affective States Should Technology Monitor to Support Learning? | 2017 | 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education (MIE 2017), Conference paper (text), Glasgow, UK |
| Temitayo Olugbade, N Bianchi-Berthouze, Nicolai Marquardt, ACDEC Williams | Pain level recognition using kinematics and muscle activity for physical rehabilitation in chronic pain | 2015 | IEEE International Conference on Affective Computing & Intelligent Interaction,, Conference paper (text) |
| YFA Gaus, Temitayo Olugbade, A Jan, R Qin, J Liu, F Zhang, Hongying Meng, NL Bianchi-Berthouze | Social Touch Gesture Recognition using Random Forest and Boosting on Distinct Feature Sets | 2015 | ICMI '15: 2015 International Conference on Multimodal Interaction, Social Touch Gesture Challenge, Conference paper (text) |
| Temitayo Olugbade, MSH Aung, Nicolai Marquardt, N Bianchi-Berthouze, ACDEC Williams | Bi-Modal Detection of Painful Reaching for Chronic Pain Rehabilitation Systems | 2014 | ICMI '14: 2014 International Conference on Multimodal Interaction, Conference paper (text), Istanbul, Turkey |
| Temitayo Olugbade | Automatic Monitoring of Physical Activity Related Affective States for Chronic Pain Rehabilitation | 1900 | Thesis / Dissertation |