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Temitayo Olugbade
Honorary Research Fellow
[email address hidden]
UCLIC, University College London
66 - 72 Gower Street
London, WC1E 6EA
United Kingdom
Brief biography
- PhD Affective Computing
University College London, UK, 2018
Current Research
I am an applied machine learning researcher with interest in various applications especially in the area of affective computing. I am currently Lecturer in Computer Science & AI at University of Sussex.
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, L Lin, A Sansoni, N Warawita, Y Gan, X Wei, B Petreca, G Boccignone, D Atkinson, Youngjun Cho | FabricTouch: A Multimodal Fabric Assessment Touch Gesture Dataset to Slow Down Fast Fashion | 2023 | Conference paper (text) |
| X Wei, Temitayo Olugbade, F Shi, S Wu, A Williams, N Gold, Youngjun Cho, K Chetty, B Nadia | Leveraging WiFi Sensing Toward Automatic Recognition of Pain Behaviors | 2023 | Conference paper (text) |
| L Romeo, Temitayo Olugbade, M Pontil, Nadia Berthouze | Multi-Rater Consensus Learning for Modeling Multiple Sparse Ratings of Affective Behaviour | 2023 | IEEE Transactions on Affective Computing, Journal article |
| Dehshibi M Mahdi, Temitayo Olugbade, F Diaz-de-Maria, Nadia Berthouze, Ana Tajadura-Jimenez | Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs | 2023 | IEEE Journal of Selected Topics in Signal Processing, Journal article |
| Temitayo Olugbade, L He, P Maiolino, D Heylen, N Bianchi-Berthouze | Touch Technology in Affective Human–, Robot–, and Virtual–Human Interactions: A Survey | 2023 | Proceedings of the IEEE, Journal article |
| Tao Bi, Temitayo Olugbade, Akhil Mathur, Catherine Holloway, Aneesha Singh, Enrico Costanza, Nadia Berthouze | A Taxonomy of Noise in Voice Self-reports while Running | 2022 | Conference paper (text) |
| Temitayo Olugbade, Raffaele Buono, A Williams, Ossorno Garcia S De, N Gold, Catherine Holloway, Nadia Berthouze | EmoPain(at)Home: Dataset and Automatic Assessment within Functional Activity for Chronic Pain Rehabilitation | 2022 | Conference paper (text) |
| G Cen, Chongyang Wang, Temitayo Olugbade, A Williams, Nadia Berthouze | Exploring Multimodal Fusion for Continuous Protective Behavior Detection | 2022 | Conference paper (text) |
| Temitayo Olugbade, M Bieńkiewicz, Giulia Barbareschi, V D'Amato, L Oneto, A Camurri, Catherine Holloway, M Björkman, P Keller, M Clayton | Human Movement Datasets: An Interdisciplinary Scoping Review | 2022 | ACM Computing Surveys, Journal article |
| Chongyang Wang, Temitayo Olugbade, Akhil Mathur, ACDC Williams, Nic Lane, N Bianchi-Berthouze | Chronic-Pain Protective Behavior Detection with Deep Learning | 2021 | ACM Transactions on Computing for Healthcare, Journal article |
| MMN Bieńkiewicz, A Smykovskyi, Temitayo Olugbade, S Janaqi, A Camurri, N Bianchi-Berthouze, M Björkman, BG Bardy | Bridging the gap between emotion and joint action. | 2021 | Neuroscience and Biobehavioral Reviews, Journal article |
| L Neubauer, N Gold, Temitayo Olugbade, A Williams, Nadia Berthouze | Functional Musical Sonification for Chronic Pain Support | 2021 | Conference paper (text) |
| Temitayo Olugbade, R Sagoleo, S Ghisio, N Gold, A Williams, Gelder B de, A Camurri, G Volpe, Nadia Berthouze | The AffectMove 2021 Challenge - Affect Recognition from Naturalistic Movement Data | 2021 | Conference paper (text) |
| Temitayo Olugbade, Youngjun Cho, Zak Morgan, El Ghani M Abd, Nadia Berthouze | Toward Intelligent Car Comfort Sensing: New Dataset and Analysis of Annotated Physiological Metrics | 2021 | Conference paper (text) |
| Tao Bi, Raffaele Buono, Temitayo Olugbade, Aneesha Singh, Catherine Holloway, Enrico Costanza, A Williams, N Gold, Nadia Berthouze | Towards Chatbot-Supported Self-Reporting for Increased Reliability and Richness of Ground Truth for Automatic Pain Recognition: Reflections on Long-Distance Runners and People with Chronic Pain | 2021 | Conference paper (text) |
| Temitayo Olugbade, N Gold, A Williams, Nadia Berthouze | A Movement in Multiple Time Neural Network for Automatic Detection of Pain Behaviour | 2020 | Conference paper (text) |
| 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 | Conference paper (text) |
| C Bao, Z Fountas, Temitayo Olugbade, Nadia Berthouze | Multimodal Data Fusion based on the Global Workspace Theory | 2020 | Conference paper (text) |
| NE Gold, Chongyang Wang, Temitayo Olugbade, Nadia Berthouze, A Williams | P(l)aying Attention: Multi-Modal, Multi-Temporal Music Control | 2020 | Conference paper (text), Birmingham, UK (online) |
| N Gold, Chongyang Wang, Temitayo Olugbade, N Bianchi-Berthouze, ACDC Williams | P(L)aying attention: Multi-modal, multi-temporal music control | 2020 | Proceedings of the International Conference on New Interfaces for Musical Expression, Conference paper (text) |
| Temitayo Olugbade, Nadia Berthouze, A Williams | Addressing emotions in behaviour change | 2019 | Conference abstract/presentation slides |
| 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 | Conference paper (text) |
| 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, ACDC Williams, N Bianchi-Berthouze | Learning Bodily and Temporal Attention in Protective Movement Behavior Detection | 2019 | Conference paper (text) |
| Chongyang Wang, Temitayo Olugbade, Akhil Mathur, ACDC Williams, Nic Lane, Nadia Berthouze | Recurrent Network based Automatic Detection of Chronic Pain Protective Behavior using MoCap and sEMG data | 2019 | 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 | Conference abstract/presentation slides |
| 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 | Conference paper (text) |
| Temitayo Olugbade, N Bianchi-Berthouze, Nicolai Marquardt, ACDEC Williams | Pain level recognition using kinematics and muscle activity for physical rehabilitation in chronic pain | 2015 | 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 | 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 | Conference paper (text) |
| Temitayo Olugbade | Automatic Monitoring of Physical Activity Related Affective States for Chronic Pain Rehabilitation | 1900 | Thesis / Dissertation |