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An Improved Classification Model for Depression Detection Using EEG and Eye Tracking Data
15 references·6 citing·52 second hop
An Improved Classification Model for Depression Detection Using EEG and Eye Tracking Data (2020)An Improved Classification Model for Depr…Visually Interpretable Representation Learning for Depression Recognition from Facial Images (2018)Visually Interpretable Repres…Emotions Recognition Using EEG Signals: A Survey (2017)Emotions Recognition Using EE…Emotion Analysis for Personality Inference from EEG Signals (2017)Emotion Analysis for Personal…Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors (2016)Multimodal Depression Detecti…Automated Depression Diagnosis Based on Facial Dynamic Analysis and Sparse Coding (2015)Automated Depression Diagnosi…Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection (2015)Analysis of EEG Signals and F…Double attention bias for positive and negative emotional faces in clinical depression: Evidence from an eye-tracking study (2014)Double attention bias for pos…Multimodal assistive technologies for depression diagnosis and monitoring (2013)Multimodal assistive technolo…Eye movement analysis for depression detection (2013)Eye movement analysis for dep…Eye tracking of attention in the affective disorders: A meta-analytic review and synthesis (2012)Eye tracking of attention in …Depression: A Global Public Health Concern (2012)Depression: A Global Public H…Understanding depressive rumination from a cognitive science perspective: The impaired disengagement hypothesis (2010)Understanding depressive rumi…Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology (2006)Voice acoustic measures of de…Mental Health: New Understanding, New Hope (2001)Mental Health: New Understand…Are Smarter Brains Running Faster? Heritability of Alpha Peak Frequency, IQ, and Their Interrelation (2001)Are Smarter Brains Running Fa…Trial Selection Tensor Canonical Correlation Analysis (TSTCCA) for Depression Recognition With Facial Expression and Pupil Diameter (2023)Trial Selection Tensor Canoni…Exploring Emotion Analysis Using Artificial Intelligence, Geospatial Information Systems, and Extended Reality for Urban Services (2023)Exploring Emotion Analysis Us…Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model (2022)Multimodal fusion diagnosis o…Depression detection for elderly people using AI robotic systems leveraging the Nelder–Mead Method (2021)Depression detection for elde…Business Simulation Games Analysis Supported by Human-Computer Interfaces: A Systematic Review (2021)Business Simulation Games Ana…AR and VR and AI Allied Technologies and Depression Detection and Control Mechanism (2021)AR and VR and AI Allied Techn…Responses to depression and their effects on the duration of depressive episodes. (1991)On the Self-Regulation of Behavior (1998)Rethinking Rumination (2008)Examining emotion regulation in depression: A review and future directions (2016)Depression: A cognitive perspective (2018)Reflecting on rumination: Consequences, causes, mechanisms and treatment of rumination (2020)Cognitive Therapy and the Emotional Disorders (1975)Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications. (1991)The Emerging Field of Emotion Regulation: An Integrative Review (1998)A Comparative Study on the Efficacy of a Positive Psychology Intervention and a Cognitive Behavioral Therapy for Clinical Depression (2016)Anxiety and depression: toward overlapping and distinctive features (2017)Understanding positive emotion deficits in depression: From emotion preferences to emotion regulation (2020)A RATING SCALE FOR DEPRESSION (1960)An Inventory for Measuring Depression (1961)The Hospital Anxiety and Depression Scale (1983)Vocal Acoustic Biomarkers of Depression Severity and Treatment Response (2012)Detecting Depression Severity from Vocal Prosody (2013)Nonverbal Communication (2018)Statistical Methods for Meta-Analysis (1988)Quantifying heterogeneity in a meta‐analysis (2002)Conducting Meta-Analyses in R with the metafor Package (2010)Measuring Attentional Bias to Threat: Reliability of Dot Probe and Eye Movement Indices (2013)The Status of Irritability in Psychiatry: A Conceptual and Quantitative Review (2016)Reasoning ability is (little more than) working-memory capacity?! (1990)Working memory and language comprehension: A meta-analysis (1996)Working memory, short-term memory, and general fluid intelligence: A latent-variable approach. (1999)Genetics and general cognitive ability (g) (2002)Genetic Correlations Between Brain Volumes and the WAIS-III Dimensions of Verbal Comprehension, Working Memory, Perceptual Organization, and Processing Speed (2003)Reconsidering the Heritability of Intelligence in Adulthood: Taking Assortative Mating and Cultural Transmission into Account (2011)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Measuring emotion: The self-assessment manikin and the semantic differential (1994)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Multichannel EEG-Based Emotion Recognition via Group Sparse Canonical Correlation Analysis (2016)Real-Time Movie-Induced Discrete Emotion Recognition from EEG Signals (2017)EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations (2019)Affective Computing (1997)International affective picture system (IAPS) : affective ratings of pictures and instruction manual (2005)EEG-Based Emotion Recognition Using Regularized Graph Neural Networks (2020)EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention (2020)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Comparison of Beck Depression Inventories-IA and-II in Psychiatric Outpatients (1996)Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 (2015)Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild (2017)Automatic depression recognition using CNN with attention mechanism from videos (2020)Multimodal Spatiotemporal Representation for Automatic Depression Level Detection (2020)Deep learning for depression recognition with audiovisual cues: A review (2021)The treatment gap in mental health care. (2004)Resources for mental health: scarcity, inequity, and inefficiency (2007)The World Mental Health Report: transforming mental health for all (2022)A therapeutic application of the experience sampling method in the treatment of depression: a randomized controlled trial (2014)Recognizing Depression from Twitter Activity (2015)A comprehensive meta-analysis of interpretation biases in depression (2017)
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References

  • 2001Mental Health: New Understanding, New Hope1,602 cited
  • 2017Emotions Recognition Using EEG Signals: A Survey1,199 cited
  • 2012Eye tracking of attention in the affective disorders: A meta-analytic review and synthesis1,048 cited
  • 2012Depression: A Global Public Health Concern998 cited
  • 2010Understanding depressive rumination from a cognitive science perspective: The impaired disengagement hypothesis915 cited
  • 2015Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection555 cited
  • 2006Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology380 cited
  • 2014Double attention bias for positive and negative emotional faces in clinical depression: Evidence from an eye-tracking study287 cited
  • 2018Visually Interpretable Representation Learning for Depression Recognition from Facial Images273 cited
  • 2001Are Smarter Brains Running Faster? Heritability of Alpha Peak Frequency, IQ, and Their Interrelation215 cited
  • 2016Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors204 cited
  • 2013Multimodal assistive technologies for depression diagnosis and monitoring179 cited
  • 2013Eye movement analysis for depression detection165 cited
  • 2015Automated Depression Diagnosis Based on Facial Dynamic Analysis and Sparse Coding

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141 cited
  • 2017Emotion Analysis for Personality Inference from EEG Signals131 cited
  • Cited by

    • 2022Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model61 cited
    • 2023Trial Selection Tensor Canonical Correlation Analysis (TSTCCA) for Depression Recognition With Facial Expression and Pupil Diameter53 cited
    • 2023Exploring Emotion Analysis Using Artificial Intelligence, Geospatial Information Systems, and Extended Reality for Urban Services47 cited
    • 2021Depression detection for elderly people using AI robotic systems leveraging the Nelder–Mead Method39 cited
    • 2021Business Simulation Games Analysis Supported by Human-Computer Interfaces: A Systematic Review29 cited
    • 2021AR and VR and AI Allied Technologies and Depression Detection and Control Mechanism8 cited