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Emotion Recognition in Adaptive Virtual Reality Settings: Challenges and Opportunities.

, , , , , and . WAMWB@MobileHCI, volume 3517 of CEUR Workshop Proceedings, page 1-20. CEUR-WS.org, (2023)

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e33Learning: A Dataset for Affect-Driven Adaptation of Computer-Based Learning., , , and . IEEE Multim., 27 (1): 49-60 (2020)EEG-Based Detection of Starting and Stopping During Gait Cycle., , , , and . Int. J. Neural Syst., 26 (7): 1650029:1-1650029:13 (2016)Bridging face and sound modalities through domain adaptation metric learning., , and . ESANN, (2019)Audio-Based Emotion Recognition Enhancement Through Progressive Gans., , and . ICIP, page 236-240. IEEE, (2020)Mental tasks selection method for a SVM-based BCI system., , , and . SysCon, page 767-771. IEEE, (2013)Selection of the best mental tasks for a SVM-based BCI system., , , , , and . SMC, page 1483-1488. IEEE, (2014)Personalized, Affect and Performance-driven Computer-based Learning., , , , and . CSEDU (1), page 132-139. SciTePress, (2017)High-performance and lightweight real-time deep face emotion recognition., , , and . SMAP, page 76-79. IEEE, (2017)Adaptive Learning Based on Affect Sensing., , , , , , , and . AIED (2), volume 10948 of Lecture Notes in Computer Science, page 475-479. Springer, (2018)Linear decoding of 2D hand movements for target selection tasks using a non-invasive BCI system., , , and . SysCon, page 778-782. IEEE, (2013)