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Amanda C. de C. Williams
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- affiliation: University College London, UK
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2020 – today
- 2021
- [j6]Chongyang Wang
, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
:
Chronic Pain Protective Behavior Detection with Deep Learning. ACM Trans. Comput. Heal. 2(3): 23:1-23:24 (2021) - [j5]Chongyang Wang
, Yuan Gao, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
:
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(2): 81:1-81:27 (2021) - [c17]Temitayo A. Olugbade, Roberto Sagoleo, Simone Ghisio, Nicolas Gold, Amanda C. de C. Williams, Beatrice De Gelder, Antonio Camurri, Gualtiero Volpe, Nadia Bianchi-Berthouze
:
The AffectMove 2021 Challenge - Affect Recognition from Naturalistic Movement Data. ACII (Workshops and Demos) 2021: 1-5 - [c16]Tao Bi, Raffaele Andrea Buono, Temitayo A. Olugbade, Aneesha Singh, Catherine Holloway, Enrico Costanza, Amanda C. de C. Williams, Nicolas E. 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. ICMI Companion 2021: 43-53 - 2020
- [j4]Temitayo A. Olugbade
, Nadia Bianchi-Berthouze
, Nicolai Marquardt
, Amanda C. de C. Williams:
Human Observer and Automatic Assessment of Movement Related Self-Efficacy in Chronic Pain: From Exercise to Functional Activity. IEEE Trans. Affect. Comput. 11(2): 214-229 (2020) - [c15]Joy O. Egede, Siyang Song, Temitayo A. Olugbade, Chongyang Wang, Amanda C. de C. Williams, Hongying Meng
, Min S. Hane Aung, Nicholas D. Lane, Michel F. Valstar, Nadia Bianchi-Berthouze
:
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions. FG 2020: 849-856 - [c14]Temitayo A. Olugbade, Nicolas Gold, Amanda C. de C. Williams, Nadia Bianchi-Berthouze
:
A Movement in Multiple Time Neural Network for Automatic Detection of Pain Behaviour. ICMI Companion 2020: 442-445 - [i4]Joy Egede, Temitayo A. Olugbade, Chongyang Wang, Siyang Song, Nadia Berthouze, Michel F. Valstar, Amanda C. de C. Williams, Hongying Meng
, Min Hane Aung, Nicholas D. Lane:
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions. CoRR abs/2001.07739 (2020) - [i3]Chongyang Wang, Yuan Gao, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze:
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data. CoRR abs/2011.01776 (2020)
2010 – 2019
- 2019
- [j3]Temitayo A. Olugbade, Aneesha Singh
, Nadia Bianchi-Berthouze
, Nicolai Marquardt
, Min S. H. Aung, Amanda C. de C. Williams:
How Can Affect Be Detected and Represented in Technological Support for Physical Rehabilitation? ACM Trans. Comput. Hum. Interact. 26(1): 1:1-1:29 (2019) - [c13]Jesús Joel Rivas, Felipe Orihuela-Espina
, Luis Enrique Sucar, Amanda C. de C. Williams, Nadia Bianchi-Berthouze
:
Automatic Recognition of Multiple Affective States in Virtual Rehabilitation by Exploiting the Dependency Relationships. ACII 2019: 1-7 - [c12]Chongyang Wang
, Min Peng, Temitayo A. Olugbade, Nicholas D. Lane, Amanda C. de C. Williams, Nadia Bianchi-Berthouze
:
Learning Temporal and Bodily Attention in Protective Movement Behavior Detection. ACII Workshops 2019: 324-330 - [c11]Chongyang Wang
, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
:
Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data. UbiComp 2019: 225-230 - [i2]Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze:
Automatic Detection of Protective Behavior in Chronic Pain Physical Rehabilitation: A Recurrent Neural Network Approach. CoRR abs/1902.08990 (2019) - [i1]Chongyang Wang, Min Peng, Temitayo A. Olugbade, Nicholas D. Lane, Amanda C. de C. Williams, Nadia Bianchi-Berthouze:
Learning Bodily and Temporal Attention in Protective Movement Behavior Detection. CoRR abs/1904.10824 (2019) - 2017
- [c10]Aneesha Singh
, Nadia Bianchi-Berthouze
, Amanda C. de C. Williams:
Supporting Everyday Function in Chronic Pain Using Wearable Technology. CHI 2017: 3903-3915 - 2016
- [j2]Aneesha Singh
, Stefano Piana, Davide Pollarolo, Gualtiero Volpe, Giovanna Varni, Ana Tajadura-Jiménez
, Amanda C. de C. Williams, Antonio Camurri
, Nadia Bianchi-Berthouze
:
Go-with-the-Flow: Tracking, Analysis and Sonification of Movement and Breathing to Build Confidence in Activity Despite Chronic Pain. Hum. Comput. Interact. 31(3-4): 335-383 (2016) - [j1]Min S. H. Aung, Sebastian Kaltwang, Bernardino Romera-Paredes, Brais Martínez, Aneesha Singh
, Matteo Cella
, Michel F. Valstar, Hongying Meng
, Andrew Kemp, Moshen Shafizadeh, Aaron C. Elkins
, Natalie Kanakam
, Amschel de Rothschild, Nick Tyler
, Paul J. Watson, Amanda C. de C. Williams, Maja Pantic, Nadia Bianchi-Berthouze
:
The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset. IEEE Trans. Affect. Comput. 7(4): 435-451 (2016) - [c9]Joseph W. Newbold
, Nadia Bianchi-Berthouze
, Nicolas E. Gold, Ana Tajadura-Jiménez
, Amanda C. de C. Williams:
Musically Informed Sonification for Chronic Pain Rehabilitation: Facilitating Progress & Avoiding Over-Doing. CHI 2016: 5698-5703 - 2015
- [c8]Temitayo A. Olugbade, Nadia Bianchi-Berthouze
, Nicolai Marquardt
, Amanda C. de C. Williams:
Pain level recognition using kinematics and muscle activity for physical rehabilitation in chronic pain. ACII 2015: 243-249 - [c7]Sergio Felipe, Aneesha Singh, Caroline Bradley, Amanda C. de C. Williams, Nadia Bianchi-Berthouze:
Roles for Personal Informatics in chronic pain. PervasiveHealth 2015: 161-168 - 2014
- [c6]Aneesha Singh
, Annina Klapper, Jinni Jia, Antonio Fidalgo
, Ana Tajadura-Jiménez, Natalie Kanakam
, Nadia Bianchi-Berthouze
, Amanda C. de C. Williams:
Motivating people with chronic pain to do physical activity: opportunities for technology design. CHI 2014: 2803-2812 - [c5]Temitayo A. Olugbade, M. S. Hane Aung, Nadia Bianchi-Berthouze
, Nicolai Marquardt
, Amanda C. de C. Williams:
Bi-Modal Detection of Painful Reaching for Chronic Pain Rehabilitation Systems. ICMI 2014: 455-458 - [c4]M. S. Hane Aung, Nadia Bianchi-Berthouze
, Paul J. Watson, Amanda C. de C. Williams:
Automatic recognition of fear-avoidance behavior in chronic pain physical rehabilitation. PervasiveHealth 2014: 158-161 - 2013
- [c3]Bernardino Romera-Paredes, Min S. H. Aung, Massimiliano Pontil, Nadia Bianchi-Berthouze
, Amanda C. de C. Williams, Paul J. Watson:
Transfer learning to account for idiosyncrasy in face and body expressions. FG 2013: 1-6 - [c2]Min S. H. Aung, Bernardino Romera-Paredes, Aneesha Singh
, S. Lim, Natalie Kanakam
, Amanda C. de C. Williams, Nadia Bianchi-Berthouze
:
Getting RID of pain-related behaviour to improve social and self perception: A technology-based perspective. WIAMIS 2013: 1-4 - 2012
- [c1]Tali Swann-Sternberg, Aneesha Singh
, Nadia Bianchi-Berthouze
, Amanda C. de C. Williams:
User needs for technology supporting physical activity in chronic pain. CHI Extended Abstracts 2012: 2441-2446
Coauthor Index
aka: Nadia Berthouze

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