Review on Psychological Stress Detection Using Biosignals

By Giorgos Giannakakis, Dimitris Grigoriadis, Katerina Giannakaki, Olympia Simantiraki, Alexandros Roniotis, Manolis Tsiknakis. IEEE Transactions on Affective Computing, 2019

640 citations recorded by the source corpus.

This review investigates the effects of psychological stress on the human body measured through biosignals. When a potentially threatening stimulus is perceived, a cascade of physiological processes occurs mobilizing the body and nervous system to confront the imminent threat and ensure effective adaptation. Biosignals that can be measured reliably in relation to such stressors include physiological (EEG, ECG, EDA, EMG) and physical measures (respiratory rate, speech, skin temperature, pupil size, eye activity). A fundamental objective in this area of psychophysiological research is to establish reliable biosignal indices that reveal the underlying physiological mechanisms of the stress response. Motivated by the lack of comprehensive guidelines on the relationship between the multitude of biosignal features used in the literature and their corresponding behaviour during stress, in this paper, the impact of stress to multiple bodily responses is surveyed. Emphasis is put on the efficiency, robustness and consistency of biosignal data features across the current state of knowledge in stress detection. It is also explored multimodal biosignal analysis and modelling methods for deriving accurate stress correlates. This paper aims to provide a comprehensive review on biosignal patterns caused during stress conditions and reliable practical guidelines towards more efficient detection of stress.

Subfields: Biomedical Engineering, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/6a574085fb010873dafc8ceacbc1efe7c3b578f1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Changkun Ou
2. Sven Mayer
3. Giorgos Giannakakis
4. Manolis Tsiknakis
5. Francesco Chiossi
6. Sanchita Paul
7. Shruti Gedam

In Experimental and Cognitive Psychology

1. Dimitrios I. Fotiadis
2. Giorgos Giannakakis
3. Manolis Tsiknakis
4. Sanchita Paul
5. Shruti Gedam

Citations in the corpus

• A Review on Mental Stress Detection Using Wearable Sensors and Machine Learning Techniques (2021, background): “Another brief review is presented in [13], where authors have studied the relationship between the biosignal features used in the previous papers and their corresponding behavior during mental stress.”
• Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes (2021, background): “The pupil size variation is a characteristic measure that is affected and is characteristic in the investigation of mental or cognitive processes [13].”
• Exploring Physiological Correlates of Visual Complexity Adaptation: Insights from EDA, ECG, and EEG Data for Adaptation Evaluation in VR Adaptive Systems (2023, background): “This is especially relevant considering that different physiological signals might need different time windows to react to adaptations, and therefore some might be more suitable for faster paces of adaptations, while other might need slower paces [28, 57].”