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Multimodal Affective States Recognition Based on Multiscale CNNs and Biologically Inspired Decision Fusion Model
16 references·0 citing·42 second hop
Multimodal Affective States Recognition Based on Multiscale CNNs and Biologically Inspired Decision Fusion Model (2021)Multimodal Affective States Recognition B…Human emotion recognition using deep belief network architecture (2018)Human emotion recognition usi…Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network (2018)Emotion Recognition from Mult…AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups (2018)AMIGOS: A Dataset for Affect,…A Review of Emotion Recognition Using Physiological Signals (2018)A Review of Emotion Recogniti…A review of affective computing: From unimodal analysis to multimodal fusion (2017)A review of affective computi…Recognition of emotions using multimodal physiological signals and an ensemble deep learning model (2016)Recognition of emotions using…Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals (2013)Multimodal fusion framework: …Emotional state classification from EEG data using machine learning approach (2013)Emotional state classificatio…DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …Dynamic Reweighting of Visual and Vestibular Cues during Self-Motion Perception (2009)Dynamic Reweighting of Visual…Neural correlates of multisensory cue integration in macaque MSTd (2008)Neural correlates of multisen…Bayesian integration of visual and auditory signals for spatial localization (2003)Bayesian integration of visua…Humans integrate visual and haptic information in a statistically optimal fashion (2002)Humans integrate visual and h…Psychological Models of Emotion (2000)Psychological Models of Emoti…A categorized list of emotion definitions, with suggestions for a consensual definition (1981)A categorized list of emotion…A circumplex model of affect. 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References

  • 1980A circumplex model of affect.16,320 cited
  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2002Humans integrate visual and haptic information in a statistically optimal fashion4,840 cited
  • 2017A review of affective computing: From unimodal analysis to multimodal fusion1,640 cited
  • 1981A categorized list of emotion definitions, with suggestions for a consensual definition1,229 cited
  • 2018A Review of Emotion Recognition Using Physiological Signals921 cited
  • 2013Emotional state classification from EEG data using machine learning approach757 cited
  • 2018AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups717 cited
  • 2008Neural correlates of multisensory cue integration in macaque MSTd555 cited
  • 2000Psychological Models of Emotion511 cited
  • 2003Bayesian integration of visual and auditory signals for spatial localization426 cited
  • 2016Recognition of emotions using multimodal physiological signals and an ensemble deep learning model416 cited
  • 2009Dynamic Reweighting of Visual and Vestibular Cues during Self-Motion Perception413 cited
  • 2018Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network357 cited

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2013
Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals
354 cited
  • 2018Human emotion recognition using deep belief network architecture307 cited
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