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Temitayo A. Olugbade
I am fascinated by the fragments of what you may call 'intelligence' in nature and animals (including humans) and I have been interested, for a long time, in designing artificial systems based on knowledge from these to provide practical solutions to everyday human problems. My MSc and PhD studies have been in this direction.
The aim of my current research is to develop affect-aware systems for chronic pain rehabilitation with a focus on pain level, self-efficacy, and emotional distress. One half of my work uses machine learning algorithms to develop systems for automatic recognition using kinematic information of body movement and surface electromyography data representing muscle activity. The second half will be to develop wearable motion capture prototypes to allow ubiquitous monitoring.
BSc Computer Engineering from Obafemi Awolowo University, Ile-Ife, Nigeria
MSc Intelligent Systems from University of Sussex, Falmer, United Kingdom
Olugbade, T. A., Marquardt, N., and Bianchi-Berthouze, N.
A Robotic Assisting-Therapist for Chronic Pain Rehabilitation: Mood-State Recognition
HRI Pioneers Workshop March 2014 Bielefeld, Germany
Kosucu, B. Hernandez, N, and Olugbade, T. A.
Opportunistic Sensing and Detection of Mild Cognitive Impairment
Proceedings of the International Conference on Pervasive Technologies Related to Assistive Environments, May 2014 Rhode Island, Greece
Olugbade, T. A., Aung, M. S. H., Marquardt, N., de C. Williams, A. C., and Bianchi-Berthouze, N.
Bi-Modal Detection of Painful Reaching for Chronic Pain Rehabilitation Systems
Proceedings of the International Conference on Multimodal Interaction, November 2014 Istanbul, Turkey
Olugbade, T. A., Bianchi-Berthouze, N., Marquardt, N., and de C Williams, A. C.
Pain Level Recognition using Kinematics and Muscle Activity for Physical Rehabilitation in Chronic Pain
Proceedings of International Conference on Affective Computing and Intelligent Interaction, September 2015 Xi'an, China
Gaus, Y. F. A., Olugbade, T. A., Jan, A., Qin, R., Liu, J., Zhang, F., Meng, H., and Bianchi-Berthouze, N.
Social Touch Gesture Recognition using Random Forest and Boosting on Distinct Feature Sets
Proceedings of the International Conference on Multimodal Interaction, November 2015 Seattle, USA
Page last modified on 04 dec 14 16:22 by Temitayo A Olugbade