WESAD: Wearable Stress and Affect Detection
WESAD: Wearable Stress and Affect Detection:
This dataset contains physiological and motion data of 15 subjects collected by using a wrist and a chest device worn. The chest-worn device records ECG, Electrodermal Activity, Electromyogram, Respiration, Body Temperature and Three-access Acceleration and the wrist-worn device records Blood Volume Pulse, Electrodermal activity, Body Temperature and Three-axis Acceleration. More details about the dataset and the links of download can be found on https://archive.ics.uci.edu/ml/datasets/WESAD+%28Wearable+Stress+and+Affect+Detection%29.
Here is some information regarding the dataset:
Number of Instances: 63,000,000
Number of Attributes: 12
Number of Subjects: 15
If you use this dataset:
Make sure to use the data for academic research and non-commercial purposes only.
Make sure to cite the paper:
P. Schmidt, A. Reiss, R. Duerchen, C. Marberger, K. V. Laerhoven, Intorducing WESAD: a Multimodal Dataset for Wearable Stress and Affect Detection, International Conference on Multimodal Interaction (ICMI), 2018.
Keywords: Biology and Health, Classification, Regression, Stress Detection, Motion, Time Series