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Differences in photoplethysmography morphological features and feature time series between two opposite emotions: Happiness and sadness
12 references·1 citing·48 second hop
Differences in photoplethysmography morphological features and feature time series between two opposite emotions: Happiness and sadness (2017)Differences in photoplethysmography morph…Emotion classification based on bio-signals emotion recognition using machine learning algorithms (2014)Emotion classification based …Comparative analysis of emotion estimation methods based on physiological measurements for real-time applications (2014)Comparative analysis of emoti…Physiological emotion analysis using support vector regression (2013)Physiological emotion analysi…Fusion of facial expressions and EEG for implicit affective tagging (2012)Fusion of facial expressions …Emotion on the Road—Necessity, Acceptance, and Feasibility of Affective Computing in the Car (2010)Emotion on the Road—Necessity…Classification of human emotion from EEG using discrete wavelet transform (2010)Classification of human emoti…An integrated system based on physiological signals for the assessment of affective states in patients with anxiety disorders (2010)An integrated system based on…Emotion recognition based on physiological changes in music listening (2008)Emotion recognition based on …A fuzzy physiological approach for continuously modeling emotion during interaction with play technologies (2007)A fuzzy physiological approac…Differential subjective and psychophysiological responses to socially and nonsocially generated emotional stimuli. (2006)Differential subjective and p…Emotion recognition system using short-term monitoring of physiological signals (2004)Emotion recognition system us…Toward machine emotional intelligence: analysis of affective physiological state (2001)Toward machine emotional inte…A Multimodal Dataset for Mixed Emotion Recognition (2024)A Multimodal Dataset for Mixe…Patterns of cognitive appraisal in emotion. (1985)Affective Computing (1997)International affective picture system (IAPS) : affective ratings of pictures and instruction manual (2005)A Review on the Role of Color and Light in Affective Computing (2015)Affective Recognition in Dynamic and Interactive Virtual Environments (2017)Assessing emotional responses induced in virtual reality using a consumer EEG headset: A preliminary report (2018)On the primacy of affect. 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References

  • 2001Toward machine emotional intelligence: analysis of affective physiological state2,334 cited
  • 2008Emotion recognition based on physiological changes in music listening1,085 cited
  • 2004Emotion recognition system using short-term monitoring of physiological signals942 cited
  • 2007A fuzzy physiological approach for continuously modeling emotion during interaction with play technologies538 cited
  • 2010Classification of human emotion from EEG using discrete wavelet transform436 cited
  • 2012Fusion of facial expressions and EEG for implicit affective tagging227 cited
  • 2010Emotion on the Road—Necessity, Acceptance, and Feasibility of Affective Computing in the Car173 cited
  • 2010An integrated system based on physiological signals for the assessment of affective states in patients with anxiety disorders110 cited
  • 2006Differential subjective and psychophysiological responses to socially and nonsocially generated emotional stimuli.69 cited
  • 2014Comparative analysis of emotion estimation methods based on physiological measurements for real-time applications66 cited
  • 2013Physiological emotion analysis using support vector regression49 cited
  • 2014Emotion classification based on bio-signals emotion recognition using machine learning algorithms45 cited

Cited by

  • 2024A Multimodal Dataset for Mixed Emotion Recognition37 cited

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