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Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection
5 references·16 citing·37 second hop
Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection (2018)Introducing WESAD, a Multimodal Dataset f…DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Detecting Stress During Real-…Toward machine emotional intelligence: analysis of affective physiological state (2001)Toward machine emotional inte…Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of…Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of…Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review (2023)Generalizable machine learnin…Emotion recognition from unimodal to multimodal analysis: A review (2023)Emotion recognition from unim…Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Emotion recognition and artif…Affective Computing: Recent Advances, Challenges, and Future Trends (2023)Affective Computing: Recent A…Emotion Recognition for Everyday Life Using Physiological Signals From Wearables: A Systematic Literature Review (2022)Emotion Recognition for Every…A systematic review on affective computing: emotion models, databases, and recent advances (2022)A systematic review on affect…Electrocardiogram-Based Emotion Recognition Systems and Their Applications in Healthcare—A Review (2021)Electrocardiogram-Based Emoti…Do you feel safe with your robot? Factors influencing perceived safety in human-robot interaction based on subjective and objective measures (2021)Do you feel safe with your ro…A Review on Mental Stress Detection Using Wearable Sensors and Machine Learning Techniques (2021)A Review on Mental Stress Det…Stress Detection with Machine Learning and Deep Learning using Multimodal Physiological Data (2020)Stress Detection with Machine…Stress detection using deep neural networks (2020)Stress detection using deep n…Self-Supervised ECG Representation Learning for Emotion Recognition (2020)Self-Supervised ECG Represent…K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations (2020)K-EmoCon, a multimodal sensor…Wearable-Based Affect Recognition—A Review (2019)Wearable-Based Affect Recogni…A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition (2019)A snapshot research and imple…A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals (2019)A Review, Current Challenges,…A circumplex model of affect. (1980)Measuring emotion: The self-assessment manikin and the semantic differential (1994)Affective Computing (1997)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)The James-Lange Theory of Emotions: A Critical Examination and an Alternative Theory (1927)Acoustic profiles in vocal emotion expression. (1996)Measures of emotion: A review (2009)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)An Inventory for Measuring Depression (1961)Manual for the State-Trait Anxiety Inventory (1970)Stress, social support, and the buffering hypothesis. (1985)Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS Scales. 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(1990)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)A Global Measure of Perceived Stress (1983)The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research (1989)The PHQ-9 (2001)Emotion recognition in EEG signals using deep learning methods: A review (2023)Stress Recognition Using Wearable Sensors and Mobile Phones (2013)Review on Psychological Stress Detection Using Biosignals (2019)A Survey on Wearable Sensors for Mental Health Monitoring (2023)Review of Stress Detection Methods Using Wearable Sensors (2024)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions (2023)AI-induced emotions in L2 education: Exploring EFL students’ perceived emotions and regulation strategies (2024)An argument for basic emotions (1992)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications (2024)A Systematic Review on Multimodal Emotion Recognition: Building Blocks, Current State, Applications, and Challenges (2024)Enhanced multimodal emotion recognition in healthcare analytics: A deep learning based model-level fusion approach (2024)Self-Supervised EEG Emotion Recognition Models Based on CNN (2023)Взаимосвязь статуса занятости и пола с уровнем психологического благополучия (2026)
this work references cited by second hop

References

  • 1988Development and validation of brief measures of positive and negative affect: The PANAS scales.32,408 cited
  • 1988Development and validation of brief measures of positive and negative affect: The PANAS scales.31,356 cited
  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2001Toward machine emotional intelligence: analysis of affective physiological state2,334 cited
  • 2005Detecting Stress During Real-World Driving Tasks Using Physiological Sensors2,205 cited

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  • 2019Wearable-Based Affect Recognition—A Review219 cited

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