Resources

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

1402 kinematic recordings of twenty-two semi-professional actors expressing emotions such as happiness, sadness, anger, fear, disgust, and surprise.

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

1402 kinematic recordings of twenty-two semi-professional actors expressing emotions such as happiness, sadness, anger, fear, disgust, and surprise.

This initial version of the PHASES dataset includes multimodal menstrual health data—hormone levels, wearable sensor metrics, and self-reported symptoms—collected across two study intervals from 42 young adults.

Physiological signals(Electrodermal Activity,Blood Volume Pulse, Heart Rate, Temperature,etc) from 36 healthy volunteers collected during structured acute stress induction and aerobic/anaerobic exercise sessions using the Empatica E4 wearable device.

GLOBEM datasets contain the first released multi-year mobile and wearable sensing datasets from 2018 to 2021, containing 705 person-years and 497 unique participants.

Dataset to support comparison of usability and accuracy from simultaneous measurements collected from 13 subjects including five devices: NeXus-10 MKII, eMotion Faros 360°, Hexoskin Hx1, SOMNOTouch NIBP, Polar RS800 Multi.

This database contains RR intervals time series from healthy subjects aged between 1month and 55 years

Multilevel Monitoring of Activity and Sleep in Healthy people (MMASH) dataset provides 24 hours of continuous beat-to-beat heart data, triaxal accelerometer data, sleep quality, physical activity, psychological characteristics and salivary samples.