Temitayo Olugbade

Temitayo Olugbade
Research Fellow
[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, 2018
  • MSc (Distinction) Intelligent Systems
    University of Sussex, 2012
  • IEEE Certified Biometrics Professional, 2011
  • BSc (First Class Honours) Computer Engineering
    Obafemi Awolowo University, 2010

Current Research

I currently work within the 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.

Research Publications

Authors
Title
Year
Publication
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 23rd International Symposium on Wearable Computers (ISWC), Conference paper (text), 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, Nadia Berthouze, A Williams The relationship between guarding, pain and emotion 2019 Pain Reports, Journal article
Temitayo Olugbade, Nadia Berthouze, A Williams Addressing emotions in behaviour change 2019 2019 CBC Conference, Conference abstract/presentation slides, London, 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
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, Joseph Newbold, Rose Johnson, E Volta, P Alborno, R Niewiadomski, M Dillon, G Volpe, N Bianchi-Berthouze Automatic Detection of Reflective Thinking in Mathematical Problem Solving based on Unconstrained Bodily Exploration Journal article
Temitayo Olugbade Automatic Monitoring of Physical Activity Related Affective States for Chronic Pain Rehabilitation Thesis / Dissertation