Resources

Dataset used for development of an algorithm for on-line anxiety level detection from biosignals.

The data contains electrodermal activity, heart rate, blood volume pulse, skin surface temperature, inter beat interval and accelerometer data recorded during three exam sessions (midterm 1, midterm 2 and finals) as well as their corresponding grades

This database of electrodermal activity was collected from 11 healthy volunteer subjects who were awake and at rest in seated position and 11 (different) healthy volunteer subjects who were under computer-controlled propofol sedation.

This database of pulse times and amplitudes from electrodermal activity was collected from 11 healthy volunteer subjects who were awake and at rest and 11 (different) healthy volunteer subjects who were under controlled propofol sedation.

This dataset explores safe actuation (music, perfume, coffee) for enhancing cognitive states. It includes subjects’ responses, reaction times, and physiological data (EDA, HR, BVP, PPG, temperature, accelerometer, EEG) during n-back memory tasks.

The project aims to understand occupants’ behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables.

This dataset explores safe actuation (music, perfume, coffee) for enhancing cognitive states. It includes subjects’ responses, reaction times, and physiological data (EDA, HR, BVP, PPG, temperature, accelerometer, EEG) during n-back memory tasks.