Temitayo Olugbade

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

Authors
Title
Year
Publication
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