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Measurement of multimodal physiological signals for stimulation detection by wearable devices
16 references·1 citing·39 second hop
Measurement of multimodal physiological signals for stimulation detection by wearable devices (2021)Measurement of multimodal physiological s…Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)Emotion recognition using mul…Stress detection in daily life scenarios using smart phones and wearable sensors: A survey (2019)Stress detection in daily lif…Review on Psychological Stress Detection Using Biosignals (2019)Review on Psychological Stres…Emotion Recognition from Physiological Signal Analysis: A Review (2019)Emotion Recognition from Phys…A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals (2019)A Review, Current Challenges,…Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection (2018)Introducing WESAD, a Multimod…Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study (2018)Identifying Objective Physiol…A Review of Emotion Recognition Using Physiological Signals (2018)A Review of Emotion Recogniti…Monitoring stress with a wrist device using context (2017)Monitoring stress with a wris…Emotion recognition using facial expressions (2017)Emotion recognition using fac…Automatic identification of artifacts in electrodermal activity data (2015)Automatic identification of a…Emotion recognition based on physiological changes in music listening (2008)Emotion recognition based on …What is an emotion? (2005)What is an emotion?Emotion Recognition Using Bio-sensors: First Steps towards an Automatic System (2004)Emotion Recognition Using Bio…Measuring emotion: The self-assessment manikin and the semantic differential (1994)Measuring emotion: The self-a…II.—WHAT IS AN EMOTION ? (1884)II.—WHAT IS AN EMOTION ?Optimization of Wearable Biosensor Data for Stress Classification Using Machine Learning and Explainable AI (2024)Optimization of Wearable Bios…The principles of psychology, Vol I. (1890)The Principles of Psychology (1891)Emotion recognition in human-computer interaction (2001)EEG-Based Emotion Recognition in Music Listening (2010)Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)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)The James-Lange Theory of Emotions: A Critical Examination and an Alternative Theory (1927)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Facial emotion recognition using deep learning: review and insights (2020)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)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)A Review on Mental Stress Detection Using Wearable Sensors and Machine Learning Techniques (2021)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Affective Computing (1997)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)The Neuropsychological Assessment (2005)Continuous Stress Detection Using Wearable Sensors in Real Life: Algorithmic Programming Contest Case Study (2019)Emotion Recognition for Everyday Life Using Physiological Signals From Wearables: A Systematic Literature Review (2022)The expression of the emotions in man and animals. (1872)Constants across cultures in the face and emotion. (1971)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)Stress, appraisal, and coping (1985)Emotion And Adaptation (1991)A Review on Mental Stress Assessment Methods Using EEG Signals (2021)A review on EEG-based multimodal learning for emotion recognition (2025)Approximate entropy as a measure of system complexity. (1991)Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review (2022)The Emerging Field of Emotion Regulation: An Integrative Review (1998)Core affect and the psychological construction of emotion. (2003)What are emotions? And how can they be measured? (2005)Relations among emotion, appraisal, and emotional action readiness. (1989)What's basic about basic emotions? (1990)Positive Emotions Broaden and Build (2013)
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References

  • 1994Measuring emotion: The self-assessment manikin and the semantic differential9,531 cited
  • 1884II.—WHAT IS AN EMOTION ?3,445 cited
  • 2005What is an emotion?2,206 cited
  • 2018Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection1,356 cited
  • 2008Emotion recognition based on physiological changes in music listening1,085 cited
  • 2018A Review of Emotion Recognition Using Physiological Signals921 cited
  • 2020Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review804 cited
  • 2019Review on Psychological Stress Detection Using Biosignals763 cited
  • 2019Emotion Recognition from Physiological Signal Analysis: A Review562 cited
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  • 2017Monitoring stress with a wrist device using context353 cited
  • 2018Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study333 cited
  • 2019A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals

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322 cited
  • 2017Emotion recognition using facial expressions311 cited
  • 2015Automatic identification of artifacts in electrodermal activity data279 cited
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    • 2024Optimization of Wearable Biosensor Data for Stress Classification Using Machine Learning and Explainable AI47 cited