Journal: PLoS ONE

Article Title: The effect of colour on reading performance in children, measured by a sensor hub: From the perspective of gender

doi: 10.1371/journal.pone.0252622

Figure Lengend Snippet: Portable multimodal ECG/EEG/EDA system and eye-tracking system.

Article Snippet: These processes are a result of fundamental physiological and neural processes, which are measurable by different BioSignal modalities such as Electrocardiography (ECG), Electroencephalography (EEG), Electrodermal Activity (EDA), and eye movement.

Techniques:

Journal: PLoS ONE

Article Title: The effect of colour on reading performance in children, measured by a sensor hub: From the perspective of gender

doi: 10.1371/journal.pone.0252622

Figure Lengend Snippet: Reading duration, EEG, eye tracking, EDA and HRV parameters in girls and boys—significant p values are marked as bold.

Article Snippet: These processes are a result of fundamental physiological and neural processes, which are measurable by different BioSignal modalities such as Electrocardiography (ECG), Electroencephalography (EEG), Electrodermal Activity (EDA), and eye movement.

Techniques:

Journal: PLoS ONE

Article Title: The effect of colour on reading performance in children, measured by a sensor hub: From the perspective of gender

doi: 10.1371/journal.pone.0252622

Figure Lengend Snippet: Differences between girls (marked with red colour) and boys (marked with blue colour) on reading duration, EEG, eye tracking, EDA and HRV parameters (p < .05).

Article Snippet: These processes are a result of fundamental physiological and neural processes, which are measurable by different BioSignal modalities such as Electrocardiography (ECG), Electroencephalography (EEG), Electrodermal Activity (EDA), and eye movement.

Techniques:

Journal: PLoS ONE

Article Title: The effect of colour on reading performance in children, measured by a sensor hub: From the perspective of gender

doi: 10.1371/journal.pone.0252622

Figure Lengend Snippet: Reading duration, EEG, eye tracking and EDA parameters in girls and boys across all colours together—significant p values are marked in bold.

Article Snippet: These processes are a result of fundamental physiological and neural processes, which are measurable by different BioSignal modalities such as Electrocardiography (ECG), Electroencephalography (EEG), Electrodermal Activity (EDA), and eye movement.

Techniques:

Journal: Behavior Research Methods

Article Title: Studying the influence of single social interactions on approach and avoidance behavior: A multimodal investigation in immersive virtual reality

doi: 10.3758/s13428-025-02627-0

Figure Lengend Snippet: Schematic representation of the experimental procedure. First, we acquired resting-state data for heart rate and electrodermal activity, as well as ratings of tiredness, motivation, state anxiety, nervousness, distress, and stress. During the practice phase, participants learned how to walk on the omnidirectional treadmill and how to use the controller. During the habituation phase, participants undertook a guided room tour to become acquainted with the environment, followed by the opportunity to freely explore and later rate the virtual rooms. In the acquisition/social conditioning phase, participants encountered three virtual humans on the terrace of the flat. Approaching them elicited a positive reaction (smile, positive utterance), a negative reaction (aggressive facial expression, negative utterance), or a neutral reaction (short look). During the social approach–avoidance test, participants could again freely explore the rooms. In Experiment 1, the previously negatively conditioned virtual agent was sitting in one of the rooms while the previously positively conditioned virtual agent was sitting in the other room, whereas in Experiment 2, the virtual agents were walking around freely during the test phase. Afterwards, the participants were asked to rate the rooms, and then rate the different virtual agents regarding likeability, fear, anger, attractiveness, and how they perceived their previous behavior. At the end of the experiment, participants completed questionnaires on their trait social anxiety (SPAI & SIAS), anxiety sensitivity (ASI-3), social skills (ISK), autism spectrum traits (AQ-K), and state anxiety, nervousness, distress, and stress. We also acquired data on their experienced motion sickness (SSQ) and presence (IPQ & MPS) in the virtual environment

Article Snippet: Physiological signals (electrodermal activity and electrocardiogram) were recorded with mobile electrocardiography (ECG) and electrodermal activity (EDA) sensors (Movisens, Karlsruhe, Germany).

Techniques: Activity Assay, Expressing

Journal: Frontiers in Neuroergonomics

Article Title: Explainable stress type classification captures physiologically relevant responses in the Maastricht Acute Stress Test

doi: 10.3389/fnrgo.2023.1294286

Figure Lengend Snippet: Number of samples in each feature set at each window length. Missing values occurred mainly when participants made too few blinks or saccades to compute EOG features.

Article Snippet: These can be detected from biosignal features such as heart rate (HR) and heart rate variability (HRV) from electrocardiogram (ECG), skin conductance responses from electrodermal activity (EDA), spectral power parameters from electroencephalogram (EEG), and eye movement and blink statistics from electro-oculogram (EOG) (Schmidt et al., ; Giannakakis et al., ; Vanhollebeke et al., ).

Techniques:

Journal: Frontiers in Neuroergonomics

Article Title: Explainable stress type classification captures physiologically relevant responses in the Maastricht Acute Stress Test

doi: 10.3389/fnrgo.2023.1294286

Figure Lengend Snippet: Observations made from the investigated ML pipeline components, and their effect on balanced accuracy.

Article Snippet: These can be detected from biosignal features such as heart rate (HR) and heart rate variability (HRV) from electrocardiogram (ECG), skin conductance responses from electrodermal activity (EDA), spectral power parameters from electroencephalogram (EEG), and eye movement and blink statistics from electro-oculogram (EOG) (Schmidt et al., ; Giannakakis et al., ; Vanhollebeke et al., ).

Techniques: Comparison, Selection