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Automatic Recognition of Affective Body Movement in a Video Game Scenario., and . INTETAIN, volume 78 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 149-159. Springer, (2011)An Interactive Environment for Kansei Data Mining.. MDM/KDD, page 58-67. University of Alberta, (2001)Quantitative subjective analysis of color tone perception and description by native speakers of Japanese., , , and . Human Vision and Electronic Imaging, volume 5292 of SPIE Proceedings, page 342-350. SPIE, (2004)The Affective Body Argument in Technology Design.. AVI, page 3-6. ACM, (2016)Human Movement Datasets: An Interdisciplinary Scoping Review., , , , , , , , , and 5 other author(s). ACM Comput. Surv., 55 (6): 126:1-126:29 (2023)Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data., , , , , and . UbiComp, page 225-230. ACM, (2019)Supporting Everyday Function in Chronic Pain Using Wearable Technology., , and . CHI, page 3903-3915. ACM, (2017)Continuous Recognition of Player's Affective Body Expression as Dynamic Quality of Aesthetic Experience., , and . IEEE Trans. Comput. Intell. AI Games, 4 (3): 199-212 (2012)Tactile perceptions of digital textiles: a design research approach., , , , , , , and . CHI, page 1669-1678. ACM, (2013)Analysis and Modelling of Affective Japanese Sitting Postures by Japanese and British Observers., , and . ACII, page 91-96. IEEE Computer Society, (2013)