User needs for technology supporting physical activity in chronic pain. - Tali Swann-Sternberg; Aneesha Singh; Nadia Bianchi-Berthouze; Amanda C. de C. Williams (CHI Extended Abstracts, 2012)

Transfer learning to account for idiosyncrasy in face and body expressions. - Bernardino Romera-Paredes; Min S. H. Aung; Massimiliano Pontil; Nadia Bianchi-Berthouze; Amanda C. de C. Williams; Paul J. Watson (FG, 2013)

Getting RID of pain-related behaviour to improve social and self perception: A technology-based perspective. - Min S. H. Aung; Bernardino Romera-Paredes; Aneesha Singh; S. Lim; Natalie Kanakam; Amanda C. de C. Williams; Nadia Bianchi-Berthouze (WIAMIS, 2013)

Motivating people with chronic pain to do physical activity: opportunities for technology design. - Aneesha Singh; Annina Klapper; Jinni Jia; Antonio Fidalgo; Ana Tajadura-Jiménez; Natalie Kanakam; Nadia Bianchi-Berthouze; Amanda C. de C. Williams (CHI, 2014)

Bi-Modal Detection of Painful Reaching for Chronic Pain Rehabilitation Systems. - Temitayo A. Olugbade; M. S. Hane Aung; Nadia Bianchi-Berthouze; Nicolai Marquardt; Amanda C. de C. Williams (ICMI, 2014)

Automatic recognition of fear-avoidance behavior in chronic pain physical rehabilitation. - M. S. Hane Aung; Nadia Bianchi-Berthouze; Paul J. Watson; Amanda C. de C. Williams (PervasiveHealth, 2014)

Pain level recognition using kinematics and muscle activity for physical rehabilitation in chronic pain. - Temitayo A. Olugbade; Nadia Bianchi-Berthouze; Nicolai Marquardt; Amanda C. de C. Williams (ACII, 2015)

Roles for Personal Informatics in chronic pain. - Sergio Felipe; Aneesha Singh; Caroline Bradley; Amanda C. de C. Williams; Nadia Bianchi-Berthouze (PervasiveHealth, 2015)

Musically Informed Sonification for Chronic Pain Rehabilitation: Facilitating Progress & Avoiding Over-Doing. - Joseph W. Newbold; Nadia Bianchi-Berthouze; Nicolas E. Gold; Ana Tajadura-Jiménez; Amanda C. de C. Williams (CHI, 2016)

Go-with-the-Flow: Tracking, Analysis and Sonification of Movement and Breathing to Build Confidence in Activity Despite Chronic Pain. - Aneesha Singh; Stefano Piana; Davide Pollarolo; Gualtiero Volpe; Giovanna Varni; Ana Tajadura-Jiménez; Amanda C. de C. Williams; Antonio Camurri; Nadia Bianchi-Berthouze (Hum. Comput. Interact., 2016)

The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset. - 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; et al. (IEEE Trans. Affect. Comput., 2016)

Supporting Everyday Function in Chronic Pain Using Wearable Technology. - Aneesha Singh; Nadia Bianchi-Berthouze; Amanda C. de C. Williams (CHI, 2017)

Automatic Recognition of Multiple Affective States in Virtual Rehabilitation by Exploiting the Dependency Relationships. - Jesús Joel Rivas; Felipe Orihuela-Espina; Luis Enrique Sucar; Amanda C. de C. Williams; Nadia Bianchi-Berthouze (ACII, 2019)

Learning Temporal and Bodily Attention in Protective Movement Behavior Detection. - Chongyang Wang; Min Peng 004; Temitayo A. Olugbade; Nicholas D. Lane; Amanda C. de C. Williams; Nadia Bianchi-Berthouze (ACII Workshops, 2019)

Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data. - Chongyang Wang; Temitayo A. Olugbade; Akhil Mathur; Amanda C. de C. Williams; Nicholas D. Lane; Nadia Bianchi-Berthouze (UbiComp, 2019)

Automatic Detection of Protective Behavior in Chronic Pain Physical Rehabilitation: A Recurrent Neural Network Approach. - Chongyang Wang; Temitayo A. Olugbade; Akhil Mathur; Amanda C. de C. Williams; Nicholas D. Lane; Nadia Bianchi-Berthouze (CoRR, 2019)

Learning Bodily and Temporal Attention in Protective Movement Behavior Detection. - Chongyang Wang; Min Peng 004; Temitayo A. Olugbade; Nicholas D. Lane; Amanda C. de C. Williams; Nadia Bianchi-Berthouze (CoRR, 2019)

How Can Affect Be Detected and Represented in Technological Support for Physical Rehabilitation? - Temitayo A. Olugbade; Aneesha Singh; Nadia Bianchi-Berthouze; Nicolai Marquardt; Min S. H. Aung; Amanda C. de C. Williams (ACM Trans. Comput. Hum. Interact., 2019)

EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions. - 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 (FG, 2020)

A Movement in Multiple Time Neural Network for Automatic Detection of Pain Behaviour. - Temitayo A. Olugbade; Nicolas Gold; Amanda C. de C. Williams; Nadia Bianchi-Berthouze (ICMI Companion, 2020)

P(l)aying Attention: Multi-modal, multi-temporal music control. - Nicolas E. Gold; Chongyang Wang; Temitayo A. Olugbade; Nadia Berthouze; Amanda C. de C. Williams (NIME, 2020)

Human Observer and Automatic Assessment of Movement Related Self-Efficacy in Chronic Pain: From Exercise to Functional Activity. - Temitayo A. Olugbade; Nadia Bianchi-Berthouze; Nicolai Marquardt; Amanda C. de C. Williams (IEEE Trans. Affect. Comput., 2020)

The AffectMove 2021 Challenge - Affect Recognition from Naturalistic Movement Data. - Temitayo A. Olugbade; Roberto Sagoleo; Simone Ghisio; Nicolas Gold; Amanda C. de C. Williams; Béatrice de Gelder; Antonio Camurri; Gualtiero Volpe; Nadia Bianchi-Berthouze (ACII (Workshops and Demos), 2021)

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. - Tao Bi; Raffaele Andrea Buono; Temitayo A. Olugbade; Aneesha Singh; Catherine Holloway; Enrico Costanza; Amanda C. de C. Williams; Nicolas E. Gold; Nadia Berthouze (ICMI Companion, 2021)

Chronic Pain Protective Behavior Detection with Deep Learning. - Chongyang Wang; Temitayo A. Olugbade; Akhil Mathur; Amanda C. de C. Williams; Nicholas D. Lane; Nadia Bianchi-Berthouze (ACM Trans. Comput. Heal., 2021)

Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data. - Chongyang Wang; Yuan Gao; Akhil Mathur; Amanda C. de C. Williams; Nicholas D. Lane; Nadia Bianchi-Berthouze (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Exploring Multimodal Fusion for Continuous Protective Behavior Detection. - Guanting Cen; Chongyang Wang; Temitayo A. Olugbade; Amanda C. de C. Williams; Nadia Bianchi-Berthouze (ACII, 2022)

EmoPain(at)Home: Dataset and Automatic Assessment within Functional Activity for Chronic Pain Rehabilitation. - Temitayo A. Olugbade; Raffaele Andrea Buono; Amanda C. de C. Williams; Santiago de Ossorno Garcia; Nicolas Gold; Catherine Holloway; Nadia Bianchi-Berthouze (ACII, 2022)

Multi-Label and Multimodal Classifier for Affective States Recognition in Virtual Rehabilitation. - 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 (IEEE Trans. Affect. Comput., 2022)

Leveraging WiFi Sensing toward Automatic Recognition of Pain Behaviors. - Xijia Wei; Temitayo A. Olugbade; Fangzhan Shi; Shuang Wu; Amanda C. de C. Williams; Nicolas Gold; Youngjun Cho; Kevin Chetty; Nadia Bianchi-Berthouze (ACIIW, 2023)

Human Movement Datasets: An Interdisciplinary Scoping Review. - 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; et al. (ACM Comput. Surv., 2023)

Movement Representation Learning for Pain Level Classification. - Temitayo A. Olugbade; Amanda C. de C. Williams; Nicolas Gold; Nadia Bianchi-Berthouze (IEEE Trans. Affect. Comput., 2024)

Movement Sonification of Familiar Music to Support the Agency of People with Chronic Pain. - Kyrill Potapov; Nicolas Gold; Temitayo A. Olugbade; Amanda C. de C. Williams; Christopher Dieter Overbeck; Danielle Lynch; Minna Nygren; Nadia Berthouze (CHI, 2025)

The EmoPain@Home Dataset: Capturing Pain Level and Activity Recognition for People With Chronic Pain in Their Homes. - Temitayo A. Olugbade; Raffaele Andrea Buono; Kyrill Potapov; Alex Bujorianu; Amanda C. de C. Williams; Santiago de Ossorno Garcia; Nicolas Gold; Catherine Holloway; Nadia Bianchi-Berthouze (IEEE Trans. Affect. Comput., 2025)