Datasets Comparison

This phrase describes a research approach that analyzes physiological signals to gain insights into psychological stress. The dataset includes survey responses from 20 participants. In this data type, 4 different questionnaires were used: demographic information, instant questionnaires, a short form of the Positive and Negative Affect Schedule (PANAS) and general stress test. Facial expression: These facial expressions were converted into pixels of size 48x48 and in grayscale. The labels for this data are assigned as: stress-free (0) and stressful (1). AudioData file: raw audio data Physiological Signal: The physiological signals of participants were sampled at varying frequencies using the wrist-worn Empatica E4 sensor device. To resolve this issue, a downsampling technique was used to make the frequencies of the signals more uniform. Downsampling was chosen to achieve a balance between computing efficiency and accuracy. By downsampling all physiological inputs to 4 Hz, consistency and effective fusion were attained. A "0" in the physiological signals file indicates stress-free conditions, while a "1" indicates the presence of stress. Additionally, the physiological signals file contains data files in three different window sizes: 15 seconds, 30 seconds, and 60 seconds of data windows.

Emotional Stress

Creative Commons Attribution 4.0 International

This phrase describes a research approach that analyzes physiological signals to gain insights into psychological stress. The dataset includes survey responses from 20 participants. In this data type, 4 different questionnaires were used: demographic information, instant questionnaires, a short form of the Positive and Negative Affect Schedule (PANAS) and general stress test. Facial expression: These facial expressions were converted into pixels of size 48x48 and in grayscale. The labels for this data are assigned as: stress-free (0) and stressful (1). AudioData file: raw audio data Physiological Signal: The physiological signals of participants were sampled at varying frequencies using the wrist-worn Empatica E4 sensor device. To resolve this issue, a downsampling technique was used to make the frequencies of the signals more uniform. Downsampling was chosen to achieve a balance between computing efficiency and accuracy. By downsampling all physiological inputs to 4 Hz, consistency and effective fusion were attained. A "0" in the physiological signals file indicates stress-free conditions, while a "1" indicates the presence of stress. Additionally, the physiological signals file contains data files in three different window sizes: 15 seconds, 30 seconds, and 60 seconds of data windows. EmpeticaSource.zip : Contains raw real world data.

Emotional Stress

Creative Commons Attribution 4.0 International