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DeepBreath: Deep learning of breathing patterns for automatic stress recognition using low-cost thermal imaging in unconstrained settings

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References

1993From Psychological Stress to the Emotions: A History of Changing Outlooks2,562 cited
2005Detecting Stress During Real-World Driving Tasks Using Physiological Sensors2,205 cited
2006The perseverative cognition hypothesis: A review of worry, prolonged stress-related physiological activation, and health1,641 cited
2016Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network905 cited
2012Affective Body Expression Perception and Recognition: A Survey609 cited
2015Image based Static Facial Expression Recognition with Multiple Deep Network Learning602 cited
2012StressSense511 cited
1999Self-Evaluated Self-Esteem, Peer-Evaluated Self-Esteem, and Defensive Egotism as Predictors of Adolescents’ Participation in Bullying Situations329 cited
2005StressCam230 cited
2011Call Center Stress Recognition with Person-Specific Models210 cited
2009Classifying Affective States Using Thermal Infrared Imaging of the Human Face152 cited

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2020Thermal Infrared Imaging-Based Affective Computing and Its Application to Facilitate Human Robot Interaction: A Review119 cited
2020Cognitive Training and Stress Detection in MCI Frail Older People Through Wearable Sensors and Machine Learning113 cited
2023Stress and Workload Assessment in Aviation—A Narrative Review

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109 cited

2022Deep Learning Approach for Detecting Work-Related Stress Using Multimodal Signals73 cited

2019Deep ECG-Respiration Network (DeepER Net) for Recognizing Mental Stress67 cited

2020The Design of CNN Architectures for Optimal Six Basic Emotion Classification Using Multiple Physiological Signals59 cited

2019Multiple Instance Learning for Emotion Recognition Using Physiological Signals58 cited

2020FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural Network51 cited

2019An Overview of the Feasibility of Permanent, Real-Time, Unobtrusive Stress Measurement with Current Wearables48 cited