Temitayo Olugbade

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

Authors
Title
Year
Publication
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