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Arousal and Valence Classification Model Based on Long Short-Term Memory and DEAP Data for Mental Healthcare Management

https://doi.org/10.4258/hir.2018.24.4.309
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Application of virtual reality for crew mental health in extended-duration space missions
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Promoting mental health versus reducing mental illness in art therapy with patients with personality disorders: A quantitative study
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Autonomic nervous system activity in emotion: A review
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A physiological signal-based method for early mental-stress detection
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Recognition of emotions using multimodal physiological signals and an ensemble deep learning model
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Deep learning for healthcare applications based on physiological signals: A review
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Respiration-based emotion recognition with deep learning
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Short-term emotion assessment in a recall paradigm
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Basic emotions are associated with distinct patterns of cardiorespiratory activity
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Emotion regulation difficulties and moral judgment in different domains: The mediation of emotional valence and arousal
inferredcites →https://doi.org/10.1016/j.psychres.2016.01.015openalex-snapshot
Virtual reality in the psychological treatment for mental health problems: An systematic review of recent evidence
inferredcites →https://doi.org/10.1016/s0165-1838(96)00108-7openalex-snapshot
Autonomic nervous system response patterns specificity to basic emotions
inferredcites →https://doi.org/10.1016/s0167-8760(97)85486-4openalex-snapshot
Autonomic nervous system response pattern specificity to basic emotions
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Age-related differences in emotion recognition ability: A cross-sectional study.
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A circumplex model of affect.
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Physiological signals based human emotion Recognition: a review
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Wearable Systems for Service based on Physiological Signals
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Based on Support Vector Regression for emotion recognition using physiological signals
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Detecting Stress During Real-World Driving Tasks Using Physiological Sensors
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Emotion recognition based on physiological changes in music listening
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Improving Automatic Emotion Recognition from Speech via Gender Differentiaion
inferredcites →https://doi.org/10.7763/ijiet.2013.v3.326openalex-snapshot
Modeling Physiological Data with Deep Belief Networks.

What points at this work

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