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Stress Detection Using Wearable Physiological Sensors · Study

WorkStress Detection Using Wearable Physiological Sensors

Virginia Cristiana Sandulescu2015

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Workgreen2015

Stress Detection Using Wearable Physiological Sensors

Virginia Cristiana Sandulescu · David A. Ellis · Nicola Bellotto · Óscar Martínez Mozos

132 citations·0/0 files stored·Lecture notes in computer science

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Emotion and Mood Recognition Context-Aware Activity Recognition Systems Non-Invasive Vital Sign Monitoring

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References

1975Cognitive Therapy and the Emotional Disorders 2022The Organisation for Economic Co-operation and Development (OECD)2012Activity-Aware Mental Stress Detection Using Physiological Sensors 2011Measurement of anxious traits: a contemporary review and synthesis 2011Psychological distress and risk of long-term disability: population-based longitudinal study

Cited by

2020Machine Learning Based Solutions for Real-Time Stress Monitoring 2020Personal Stress-Level Clustering and Decision-Level Smoothing to Enhance the Performance of Ambulatory Stress Detection With Smartwatches 2020Towards an anxiety and stress recognition system for academic environments based on physiological features 2023Wearable technologies for health research: Opportunities, limitations, and practical and conceptual considerations 2024Personalized Stress Detection Using Biosignals from Wearables: A Scoping Review 2021Human stress classification during public speaking using physiological signals 2022Toward Robust Stress Prediction in the Age of Wearables: Modeling Perceived Stress in a Longitudinal Study With Information Workers

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Details

Year2015

Typeother

Published2015-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations132

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1007/978-3-319-18914-7_55

openalex_workW321486980

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2020

Integrating Biosignals Measurement in Virtual Reality Environments for Anxiety Detection