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Amanda C. de C. Williams
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- affiliation: University College London, UK
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2020 – today
- 2024
- [j9]Temitayo A. Olugbade, Amanda C. de C. Williams, Nicolas Gold, Nadia Bianchi-Berthouze:
Movement Representation Learning for Pain Level Classification. IEEE Trans. Affect. Comput. 15(3): 1303-1314 (2024) - 2023
- [j8]Temitayo A. Olugbade, Marta Bienkiewicz, Giulia Barbareschi, Vincenzo Stefano D'Amato, Luca Oneto, Antonio Camurri, Catherine Holloway, Mårten Björkman, Peter E. Keller, Martin Clayton, Amanda C. de C. Williams, Nicolas Gold, Cristina Becchio, Benoît G. Bardy, Nadia Bianchi-Berthouze:
Human Movement Datasets: An Interdisciplinary Scoping Review. ACM Comput. Surv. 55(6): 126:1-126:29 (2023) - [c21]Xijia Wei, Temitayo A. Olugbade, Fangzhan Shi, Shuang Wu, Amanda C. de C. Williams, Nicolas Gold, Youngjun Cho, Kevin Chetty, Nadia Bianchi-Berthouze:
Leveraging WiFi Sensing toward Automatic Recognition of Pain Behaviors. ACIIW 2023: 1-8 - 2022
- [j7]Jesús Joel Rivas, Maria del Carmen Lara, Luis Castrejón, Jorge Hernández-Franco, Felipe Orihuela-Espina, Lorena Palafox, Amanda C. de C. Williams, Nadia Bianchi-Berthouze, Luis Enrique Sucar:
Multi-Label and Multimodal Classifier for Affective States Recognition in Virtual Rehabilitation. IEEE Trans. Affect. Comput. 13(3): 1183-1194 (2022) - [c20]Guanting Cen, Chongyang Wang, Temitayo A. Olugbade, Amanda C. de C. Williams, Nadia Bianchi-Berthouze:
Exploring Multimodal Fusion for Continuous Protective Behavior Detection. ACII 2022: 1-8 - [c19]Temitayo A. Olugbade, Raffaele Andrea Buono, Amanda C. de C. Williams, Santiago de Ossorno Garcia, Nicolas Gold, Catherine Holloway, Nadia Bianchi-Berthouze:
EmoPain(at)Home: Dataset and Automatic Assessment within Functional Activity for Chronic Pain Rehabilitation. ACII 2022: 1-8 - 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) - [c18]Temitayo A. Olugbade, Roberto Sagoleo, Simone Ghisio, Nicolas Gold, Amanda C. de C. Williams, Béatrice 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 - [c17]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) - [c16]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 - [c15]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 - [c14]Nicolas E. Gold, Chongyang Wang, Temitayo A. Olugbade, Nadia Berthouze, Amanda C. de C. Williams:
P(l)aying Attention: Multi-modal, multi-temporal music control. NIME 2020: 172-175 - [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
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last updated on 2024-10-07 21:14 CEST by the dblp team
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