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IEEE/ICACT20250013 Slide.16
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WESAD is a wearable stress detection dataset developed through a collaboration between Robert Bosch and the University of Siegen in Germany. It contains both physiological and motion signals, as shown here. Fifteen participants took part in the experiments, and the dataset also includes specific metadata for each participant, such as age, gender, height, and weight. | |
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