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Emotion recognition via random forest and galvanic skin response: Comparison of time based feature sets, window sizes and wavelet approaches
4 references·2 citing·27 second hop
Emotion recognition via random forest and galvanic skin response: Comparison of time based feature sets, window sizes and wavelet approaches (2016)Emotion recognition via random forest and…Using galvanic skin response for cognitive load measurement in arithmetic and reading tasks (2012)Using galvanic skin response …DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …Emotion Assessment: Arousal Evaluation Using EEG’s and Peripheral Physiological Signals (2006)Emotion Assessment: Arousal E…MULTIMODAL EMOTION RECOGNITION (2005)MULTIMODAL EMOTION RECOGNITIONAutomated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach (2022)Automated Affective Computing…Affect Recognition using Psychophysiological Correlates in High Intensity VR Exergaming (2020)Affect Recognition using Psyc…The expression of the emotions in man and animals. (1872)The Principles of Psychology (1891)The media equation: how people treat computers, television, and new media like real people and places (1997)Emotion Recognition Based on Joint Visual and Audio Cues (2006)Being bored? Recognising natural interest by extensive audiovisual integration for real-life application (2009)Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study (2022)Emotion recognition in human-computer interaction (2001)A systems approach to appraisal mechanisms in emotion (2005)International Affective Picture System (2005)Short-term emotion assessment in a recall paradigm (2009)Classifying Different Emotional States by Means of EEG-Based Functional Connectivity Patterns (2014)Wavelet-based emotion recognition system using EEG signal (2016)Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive-load approach. (1992)Cognitive load theory, learning difficulty, and instructional design (1994)Cognitive Load Theory (2011)Detecting Users’ Cognitive Load by Galvanic Skin Response with Affective Interference (2017)A survey of workload assessment algorithms (2018)Multimodal Fusion for Objective Assessment of Cognitive Workload: A Review (2019)A circumplex model of affect. (1980)Measuring emotion: The self-assessment manikin and the semantic differential (1994)Affective Computing (1997)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Science and Human Behavior. (1954)Control and information in the intrapersonal sphere: An extension of cognitive evaluation theory. (1982)Psychometric Properties of the Intrinsic Motivation Inventory in a Competitive Sport Setting: A Confirmatory Factor Analysis (1989)
this work references cited by second hop

References

  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2006Emotion Assessment: Arousal Evaluation Using EEG’s and Peripheral Physiological Signals385 cited
  • 2012Using galvanic skin response for cognitive load measurement in arithmetic and reading tasks219 cited
  • 2005MULTIMODAL EMOTION RECOGNITION202 cited

Cited by

  • 2020Affect Recognition using Psychophysiological Correlates in High Intensity VR Exergaming40 cited
  • 2022Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach40 cited

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