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On identification of driving-induced stress using electroencephalogram signals: A framework based on wearable safety-critical scheme and machine learning
7 references·14 citing·50 second hop
On identification of driving-induced stress using electroencephalogram signals: A framework based on wearable safety-critical scheme and machine learning (2019)On identification of driving-induced stre…Understanding the impacts of mobile phone distraction on driving performance: A systematic review (2016)Understanding the impacts of …Emotional state classification from EEG data using machine learning approach (2013)Emotional state classificatio…EEG signal analysis for the assessment and quantification of driver’s fatigue (2010)EEG signal analysis for the a…The Use of Video Modeling via a Video iPod and a System of Least Prompts to Improve Transitional Behaviors for Students with Autism Spectrum Disorders in the General Education Classroom (2009)The Use of Video Modeling via…Emotion Recognition in Borderline Personality Disorder—A Review of the Literature (2009)Emotion Recognition in Border…Measuring emotion: The self-assessment manikin and the semantic differential (1994)Measuring emotion: The self-a…The social readjustment rating scale (1967)The social readjustment ratin…Fusing Wearable Biosensors with Artificial Intelligence for Mental Health Monitoring: A Systematic Review (2025)Fusing Wearable Biosensors wi…Brain activity patterns reflecting security perceptions of female cyclists in virtual reality experiments (2025)Brain activity patterns refle…Emotion recognition with EEG-based brain-computer interfaces: a systematic literature review (2024)Emotion recognition with EEG-…Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals (2023)Review of Studies on Emotion …Validation of a Light EEG-Based Measure for Real-Time Stress Monitoring during Realistic Driving (2022)Validation of a Light EEG-Bas…An artificial intelligence-based framework for data-driven categorization of computer scientists: a case study of world’s Top 10 computing departments (2022)An artificial intelligence-ba…A stock time series forecasting approach incorporating candlestick patterns and sequence similarity (2022)A stock time series forecasti…EEG Mental Stress Assessment Using Hybrid Multi-Domain Feature Sets of Functional Connectivity Network and Time-Frequency Features (2021)EEG Mental Stress Assessment …An Empirical Comparative Study on the Two Methods of Eliciting Singers’ Emotions in Singing: Self-Imagination and VR Training (2021)An Empirical Comparative Stud…The Effects of the Driver’s Mental State and Passenger Compartment Conditions on Driving Performance and Driving Stress (2020)The Effects of the Driver’s M…Multimodal Features for Detection of Driver Stress and Fatigue: Review (2020)Multimodal Features for Detec…Modified Support Vector Machine for Detecting Stress Level Using EEG Signals (2020)Modified Support Vector Machi…An Effective Mental Stress State Detection and Evaluation System Using Minimum Number of Frontal Brain Electrodes (2020)An Effective Mental Stress St…A machine learning-based investigation utilizing the in-text features for the identification of dominant emotion in an email (2020)A machine learning-based inve…Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue (2004)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Using EEG spectral components to assess algorithms for detecting fatigue (2008)Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data (2016)Comparing the Effects of Three Cognitive Tasks on Indicators of Mental Fatigue (2019)Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differentiation of sleepiness and mental fatigue (2020)Ratio scales and category scales for a dozen perceptual continua. (1957)Impact of Event Scale: A Measure of Subjective Stress (1979)Stress, social support, and the buffering hypothesis. (1985)The need to belong: Desire for interpersonal attachments as a fundamental human motivation. (1995)The nature of emotion: Fundamental questions. (1994)Affective Computing (1997)EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention (2020)Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition (2022)EEG Based Emotion Recognition: A Tutorial and Review (2022)Social Learning Theory. (1978)Diagnostic and Statistical Manual of Mental Disorders. (2000)The Use of Single-Subject Research to Identify Evidence-Based Practice in Special Education (2005)Video Self-Prompting and Mobile Technology to Increase Daily Living and Vocational Independence for Students with Autism Spectrum Disorders (2012)The effect of instructional use of an iPad® on challenging behavior and academic engagement for two students with autism (2013)Video Self-Modeling on an iPad to Teach Functional Math Skills to Adolescents With Autism and Intellectual Disability (2013)The nature and measurement of meaning. (1952)The Measurement of Meaning (1957)A circumplex model of affect. (1980)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English (2018)Examining the Impact of Cell Phone Conversations on Driving Using Meta-Analytic Techniques (2006)A meta-analysis of the effects of cell phones on driver performance (2008)Engineering a safer world: systems thinking applied to safety (2012)Effects of road infrastructure and traffic complexity in speed adaptation behaviour of distracted drivers (2017)Modelling driver distraction effects due to mobile phone use on reaction time (2017)Driver Distraction Detection Methods: A Literature Review and Framework (2021)Toward machine emotional intelligence: analysis of affective physiological state (2001)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis (2020)A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS (2022)A systematic review of physiological signals based driver drowsiness detection systems (2022)Nasa-task load index (NASA-TLX); 20 years later (2006)The Essential Guide to Effect Sizes (2010)Feature Extraction and Selection for Emotion Recognition from EEG (2014)Applications of artificial intelligence−machine learning for detection of stress: a critical overview (2023)Hybrid Deep Learning Approach for Stress Detection Using Decomposed EEG Signals (2023)Emotion recognition system using short-term monitoring of physiological signals (2004)DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices (2017)Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects (2024)Machine learning for human emotion recognition: a comprehensive review (2024)Ethical Considerations in Emotion Recognition Research (2025)Social Cognition in Borderline Personality Disorder: Evidence for Disturbed Recognition of the Emotions, Thoughts, and Intentions of others (2010)Neuronal correlates of altered empathy and social cognition in borderline personality disorder (2011)Neuronal Correlates of Cognitive Reappraisal in Borderline Patients with Affective Instability (2011)
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References

  • 1967The social readjustment rating scale11,119 cited
  • 1994Measuring emotion: The self-assessment manikin and the semantic differential9,531 cited
  • 2013Emotional state classification from EEG data using machine learning approach757 cited
  • 2009Emotion Recognition in Borderline Personality Disorder—A Review of the Literature348 cited
  • 2016Understanding the impacts of mobile phone distraction on driving performance: A systematic review319 cited
  • 2009The Use of Video Modeling via a Video iPod and a System of Least Prompts to Improve Transitional Behaviors for Students with Autism Spectrum Disorders in the General Education Classroom312 cited
  • 2010EEG signal analysis for the assessment and quantification of driver’s fatigue292 cited

Cited by

  • 2020Multimodal Features for Detection of Driver Stress and Fatigue: Review119 cited
  • 2020An Effective Mental Stress State Detection and Evaluation System Using Minimum Number of Frontal Brain Electrodes118 cited
  • 2023Review of Studies on Emotion Recognition and Judgment Based on Physiological Signals118 cited
  • 2020A machine learning-based investigation utilizing the in-text features for the identification of dominant emotion in an email75 cited
  • 2024Emotion recognition with EEG-based brain-computer interfaces: a systematic literature review75 cited
  • 2020The Effects of the Driver’s Mental State and Passenger Compartment Conditions on Driving Performance and Driving Stress

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75 cited
  • 2025Fusing Wearable Biosensors with Artificial Intelligence for Mental Health Monitoring: A Systematic Review71 cited
  • 2020Modified Support Vector Machine for Detecting Stress Level Using EEG Signals64 cited
  • 2022Validation of a Light EEG-Based Measure for Real-Time Stress Monitoring during Realistic Driving63 cited
  • 2021EEG Mental Stress Assessment Using Hybrid Multi-Domain Feature Sets of Functional Connectivity Network and Time-Frequency Features51 cited
  • 2022A stock time series forecasting approach incorporating candlestick patterns and sequence similarity49 cited
  • 2022An artificial intelligence-based framework for data-driven categorization of computer scientists: a case study of world’s Top 10 computing departments12 cited
  • 2025Brain activity patterns reflecting security perceptions of female cyclists in virtual reality experiments11 cited
  • 2021An Empirical Comparative Study on the Two Methods of Eliciting Singers’ Emotions in Singing: Self-Imagination and VR Training8 cited