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Wearables for Engagement Detection in Learning Environments: A Review
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Wearables for Engagement Detection in Learning Environments: A Review (2022)Wearables for Engagement Detection in Lea…The PRISMA 2020 statement: An updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: An…Deep facial spatiotemporal network for engagement prediction in online learning (2021)Deep facial spatiotemporal ne…Human Emotion Recognition: Review of Sensors and Methods (2020)Human Emotion Recognition: Re…Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)Emotion recognition using mul…A 3D-convolutional neural network framework with ensemble learning techniques for multi-modal emotion recognition (2020)A 3D-convolutional neural net…Emotion Recognition from Physiological Signal Analysis: A Review (2019)Emotion Recognition from Phys…A survey of machine learning techniques in physiology based mental stress detection systems (2019)A survey of machine learning …A survey of emotion recognition methods with emphasis on E-Learning environments (2019)A survey of emotion recogniti…A machine learning model for emotion recognition from physiological signals (2019)A machine learning model for …Deep learning analysis of mobile physiological, environmental and location sensor data for emotion detection (2018)Deep learning analysis of mob…A Review of Wearable Solutions for Physiological and Emotional Monitoring for Use by People with Autism Spectrum Disorder and Their Caregivers (2018)A Review of Wearable Solution…Smart environment architecture for emotion detection and regulation (2016)Smart environment architectur…Automated Detection of Engagement Using Video-Based Estimation of Facial Expressions and Heart Rate (2016)Automated Detection of Engage…Measuring student engagement in technology-mediated learning: A review (2015)Measuring student engagement …A Stress Sensor Based on Galvanic Skin Response (GSR) Controlled by ZigBee (2012)A Stress Sensor Based on Galv…Multimodal affect recognition in learning environments (2005)Multimodal affect recognition…Stress: a brief history (2004)Detecting driving stress in physiological signals based on multimodal feature analysis and kernel classifiers (2017)A Comprehensive Survey of Driving Monitoring and Assistance Systems (2019)Detecting Moments of Stress from Measurements of Wearable Physiological Sensors (2019)Toward machine emotional intelligence: analysis of affective physiological state (2001)Toward an affect-sensitive multimodal human-computer interaction (2003)Empirically building and evaluating a probabilistic model of user affect (2009)Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features (2010)Facial Action Coding System (1978)PSYCHOLOGICAL CONDITIONS OF PERSONAL ENGAGEMENT AND DISENGAGEMENT AT WORK. (1990)Handbook of Research on Student Engagement (2012)Unobtrusive Assessment of Students' Emotional Engagement during Lectures Using Electrodermal Activity Sensors (2018)Multimodal big data affective analytics: A comprehensive survey using text, audio, visual and physiological signals (2019)Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles (2022)The Measurement of Observer Agreement for Categorical Data (1977)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Four key challenges to the design of blended learning: A systematic literature review (2017)Online learning in higher education: exploring advantages and disadvantages for engagement (2018)Learner Engagement in Blended Learning Environments: A Conceptual Framework (2019)Emotion recognition in human-computer interaction (2001)Affective computing: challenges (2003)Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Wearable-Based Affect Recognition—A Review (2019)Emotion recognition based on EEG feature maps through deep learning network (2021)Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions (2023)The expression of the emotions in man and animals. (1872)Constants across cultures in the face and emotion. (1971)Measuring emotion: The self-assessment manikin and the semantic differential (1994)Emotion Recognition for Everyday Life Using Physiological Signals From Wearables: A Systematic Literature Review (2022)Measuring self-regulated learning and the role of AI: Five years of research using multimodal multichannel data (2022)Emotion recognition in EEG signals using deep learning methods: A review (2023)II.—WHAT IS AN EMOTION ? (1884)A circumplex model of affect. (1980)An argument for basic emotions (1992)VREED (2021)A review on EEG-based multimodal learning for emotion recognition (2025)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Emotion recognition from unimodal to multimodal analysis: A review (2023)Approximate entropy as a measure of system complexity. (1991)Affective Computing (1997)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review (2022)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)Implementing the 27 PRISMA 2020 Statement items for systematic reviews in the sport and exercise medicine, musculoskeletal rehabilitation and sports science fields: the PERSiST (implementing Prisma in Exercise, Rehabilitation, Sport medicine and SporTs science) guidance (2021)Preliminary guideline for reporting bibliometric reviews of the biomedical literature (BIBLIO): a minimum requirements (2023)Virtual reality and gamification in education: a systematic review (2024)
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References

  • 2021The PRISMA 2020 statement: An updated guideline for reporting systematic reviews11,672 cited
  • 2015Measuring student engagement in technology-mediated learning: A review1,009 cited
  • 2020Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review804 cited
  • 2020Human Emotion Recognition: Review of Sensors and Methods586 cited
  • 2019Emotion Recognition from Physiological Signal Analysis: A Review562 cited
  • 2005Multimodal affect recognition in learning environments339 cited
  • 2016Automated Detection of Engagement Using Video-Based Estimation of Facial Expressions and Heart Rate331 cited
  • 2012A Stress Sensor Based on Galvanic Skin Response (GSR) Controlled by ZigBee315 cited
  • 2018Deep learning analysis of mobile physiological, environmental and location sensor data for emotion detection293 cited
  • 2019A machine learning model for emotion recognition from physiological signals232 cited
  • 2019A survey of machine learning techniques in physiology based mental stress detection systems208 cited
  • 2019A survey of emotion recognition methods with emphasis on E-Learning environments182 cited
  • 2016Smart environment architecture for emotion detection and regulation164 cited
  • 2018A Review of Wearable Solutions for Physiological and Emotional Monitoring for Use by People with Autism Spectrum Disorder and Their Caregivers

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142 cited
  • 2021Deep facial spatiotemporal network for engagement prediction in online learning123 cited
  • 2020A 3D-convolutional neural network framework with ensemble learning techniques for multi-modal emotion recognition117 cited
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