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Human Movement Datasets: An Interdisciplinary Scoping Review., , , , , , , , , and 5 other author(s). ACM Comput. Surv., 55 (6): 126:1-126:29 (2023)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., , , , , , , , and . ICMI Companion, page 43-53. ACM, (2021)Supporting Everyday Function in Chronic Pain Using Wearable Technology., , and . CHI, page 3903-3915. ACM, (2017)Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data., , , , , and . UbiComp, page 225-230. ACM, (2019)Motivating people with chronic pain to do physical activity: opportunities for technology design., , , , , , , and . CHI, page 2803-2812. ACM, (2014)User needs for technology supporting physical activity in chronic pain., , , and . CHI Extended Abstracts, page 2441-2446. ACM, (2012)Musically Informed Sonification for Chronic Pain Rehabilitation: Facilitating Progress & Avoiding Over-Doing., , , , and . CHI, page 5698-5703. ACM, (2016)Pain level recognition using kinematics and muscle activity for physical rehabilitation in chronic pain., , , and . ACII, page 243-249. IEEE Computer Society, (2015)Leveraging WiFi Sensing toward Automatic Recognition of Pain Behaviors., , , , , , , , and . ACIIW, page 1-8. IEEE, (2023)Movement Representation Learning for Pain Level Classification., , , and . IEEE Trans. Affect. Comput., 15 (3): 1303-1314 (July 2024)