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Stress Detection with Deep Learning Approaches Using Physiological Signals · Study

WorkStress Detection with Deep Learning Approaches Using Physiological Signals

Fabrizio Albertetti2021

Work2021

Stress Detection with Deep Learning Approaches Using Physiological Signals

Fabrizio Albertetti · Alena Simalastar · Aïcha Rizzotti-Kaddouri

41 citations·0/0 files stored·Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Emotion and Mood Recognition Heart Rate Variability and Autonomic Control Non-Invasive Vital Sign Monitoring

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References

2018Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection 2013Stress Recognition Using Wearable Sensors and Mobile Phones 2019Feature Extraction and Selection for Emotion Recognition from Electrodermal Activity 2013Stress detection from speech and Galvanic Skin Response signals 2014Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits 2007Non-intrusive Physiological Monitoring for Automated Stress Detection in Human-Computer Interaction 2017Real-time mental stress detection based on smartwatch 2018Emotion stress detection using EEG signal and deep learning technologies

Details

Year2021

Typeother

Published2021-01-01

VenueLecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

ISSN-L1867-8211

Languageen

Citations41

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1007/978-3-030-69963-5_7

openalex_workW3131167370

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