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Facial electromyography (fEMG) activities in response to affective visual stimulation.

, , , , , , and . WACI, page 45-49. IEEE, (2011)

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Audio-Based Pre-classification for Semi-automatic Facial Expression Coding., , , , and . HCI (5), volume 8008 of Lecture Notes in Computer Science, page 301-309. Springer, (2013)Audio-Visual Recognition of Pain Intensity., , , , and . MPRSS, volume 10183 of Lecture Notes in Computer Science, page 110-126. Springer, (2016)Visual Confusion Recognition in Movement Patterns from Walking Path and Motion Energy., , , , and . ICOST, volume 10461 of Lecture Notes in Computer Science, page 124-135. Springer, (2017)On the use of instantaneous mean frequency estimated from the Hilbert spectrum of facial electromyography for differentiating core affects., , , , , , , and . BMEI, page 568-572. IEEE, (2012)Facial electromyography (fEMG) activities in response to affective visual stimulation., , , , , , and . WACI, page 45-49. IEEE, (2011)The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System., , , , , , , , , and 4 other author(s). MPRSS, volume 10183 of Lecture Notes in Computer Science, page 127-139. Springer, (2016)Data fusion for automated pain recognition., , , , , , , , and . PervasiveHealth, page 261-264. ICST, (2015)Adaptive confidence learning for the personalization of pain intensity estimation systems., , , , , , and . Evolving Systems, 8 (1): 71-83 (2017)Individual emotional profiles in Wizard-of-Oz-experiments., , , , , , , and . PETRA, ACM, (2010)Automatic heart rate estimation from painful faces., , , , and . ICIP, page 1947-1951. IEEE, (2014)