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, 2017
  • MSc (Distinction) Intelligent Systems
    University of Sussex, 2012
  • IEEE Certified Biometrics Professional, 2011
  • BSc (First Class Honours) Computer Engineering
    Obafemi Awolowo University, 2010

Research Interests

artificial intelligence, affective computing, psychology (behaviour, cognition, affect)

weDraw Research

PhD Thesis

With the aim of equipping technology to address the psychological barriers to physical functioning in chronic pain, I investigated automatic detection of levels of pain and related affective states from fine-grained movement behaviour. My investigation was based on indepth understanding of these psychological barriers and the requirements of technology that aims to address them. One of the major contributions of my work is a taxonomy of bodily expressed pain behaviours and understanding of the feasibility of automatic detection based on this taxonomy. I additionally developed a data-based pain model that challenges the state-of-the-art in pain research. My work also provides tools for further research in pain-related affective computing and chronic pain physical rehabilitation technology design in terms of: 1) a new chronic pain dataset of both exercise and functional movements, 2) features understanding and computation formulae, and 3) low-cost integrated IMU and EMG sensors prototype.

Public Engagement and Talks

  • Talk at London International Youth Science Forum (August 2017)
  • Seminar at Affectiva (May 2016)
  • Interview on UCL RareFM HaveYouTriedScience? (April 2016)

Research Publications

Authors
Title
Year
Publication
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 proceeding
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 proceeding, Istanbul, Turkey