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Physiological Signals Based Anxiety Detection Using Ensemble Machine Learning
8 references·1 citing·43 second hop
Physiological Signals Based Anxiety Detection Using Ensemble Machine Learning (2021)Physiological Signals Based Anxiety Detec…Towards an anxiety and stress recognition system for academic environments based on physiological features (2020)Towards an anxiety and stress…On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals (2020)On-line anxiety level detecti…Keep Calm and Ride Along: Passenger Comfort and Anxiety as Physiological Responses to Autonomous Driving Styles (2020)Keep Calm and Ride Along: Pas…Integrating Biosignals Measurement in Virtual Reality Environments for Anxiety Detection (2020)Integrating Biosignals Measur…A machine learning model for emotion recognition from physiological signals (2019)A machine learning model for …Evaluation of an Integrated System of Wearable Physiological Sensors for Stress Monitoring in Working Environments by Using Biological Markers (2017)Evaluation of an Integrated S…An accurate emotion recognition system using ECG and GSR signals and matching pursuit method (2017)An accurate emotion recogniti…A Stress-Detection System Based on Physiological Signals and Fuzzy Logic (2011)A Stress-Detection System Bas…A systematic hybrid machine learning approach for stress prediction (2023)A systematic hybrid machine l…Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification (2005)Emotion recognition based on physiological changes in music listening (2008)Smart environment architecture for emotion detection and regulation (2016)Measuring acute stress response through physiological signals: towards a quantitative assessment of stress (2018)Stress detection using deep neural networks (2020)A Global Measure of Perceived Stress (1983)The development of a six‐item short‐form of the state scale of the Spielberger State—Trait Anxiety Inventory (STAI) (1992)Cognitive Training and Stress Detection in MCI Frail Older People Through Wearable Sensors and Machine Learning (2020)Machine Learning Based Solutions for Real-Time Stress Monitoring (2020)Detection and monitoring of stress using wearables: a systematic review (2024)EEG-Based Emotion Recognition in Music Listening (2010)ECG Pattern Analysis for Emotion Detection (2011)A review of recent approaches for emotion classification using electrocardiography and electrodermography signals (2020)CNN and LSTM-Based Emotion Charting Using Physiological Signals (2020)Automated emotion recognition: Current trends and future perspectives (2022)II.—WHAT IS AN EMOTION ? (1884)A circumplex model of affect. (1980)An argument for basic emotions (1992)VREED (2021)Emotion recognition in EEG signals using deep learning methods: A review (2023)A review on EEG-based multimodal learning for emotion recognition (2025)The Measurement of Observer Agreement for Categorical Data (1977)The Structured Clinical Interview for DSM-III-R (SCID) (1992)Interrater reliability: the kappa statistic (2012)Human Stress Detection With Wearable Sensors Using Convolutional Neural Networks (2022)Machine Learning for Anxiety Detection Using Biosignals: A Review (2022)Multimodal Hierarchical CNN Feature Fusion for Stress Detection (2023)Theory and Research on Anxiety (1966)Validation Guidelines for IS Positivist Research (2004)In the Passenger Seat: Investigating Ride Comfort Measures in Autonomous Cars (2015)DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data (2021)Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems (2023)Real-Time Trust Prediction in Conditionally Automated Driving Using Physiological Measures (2023)A Coefficient of Agreement for Nominal Scales (1960)From game design elements to gamefulness (2011)Wearables measuring electrodermal activity to assess perceived stress in care: a scoping review (2023)Measuring emotion: The self-assessment manikin and the semantic differential (1994)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Can reinforcement learning effectively prevent depression relapse? (2025)Detecting Stress Based on Social Interactions in Social Networks (2017)Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection (2018)Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: a systematic review and meta-analysis (2020)
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References

  • 2019A machine learning model for emotion recognition from physiological signals232 cited
  • 2011A Stress-Detection System Based on Physiological Signals and Fuzzy Logic224 cited
  • 2017Evaluation of an Integrated System of Wearable Physiological Sensors for Stress Monitoring in Working Environments by Using Biological Markers220 cited
  • 2017An accurate emotion recognition system using ECG and GSR signals and matching pursuit method181 cited
  • 2020Keep Calm and Ride Along: Passenger Comfort and Anxiety as Physiological Responses to Autonomous Driving Styles110 cited
  • 2020Towards an anxiety and stress recognition system for academic environments based on physiological features96 cited
  • 2020On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals84 cited
  • 2020Integrating Biosignals Measurement in Virtual Reality Environments for Anxiety Detection61 cited

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  • 2023A systematic hybrid machine learning approach for stress prediction45 cited

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