UCLIC-Bentley Comfort (UBComfort) dataset

The UCLIC-Bentley Comfort (UBComfort) dataset uniquely includes multimodal physiological and movement data of car passengers combined with self-report of thermal and sitting sensation and comfort levels, thermal preferences and mental relaxation levels. The multimodal dataset contains skin temperature (based on thermal imaging), blood volume pulse (BVP), electrodermal activity (EDA and motion capture data (based on wearable sensors across the body). These data were collected from 28 participants and in semi-ecological car setting.

The study was funded by a UCL-Bentley project. For more details, see:

Temitayo Olugbade, Youngjun Cho, Zak Morgan, Mohamed Abd El Ghani, and Nadia Bianchi-Berthouze (2021). Toward Intelligent Car Comfort Sensing: New Dataset and Analysis of Annotated Physiological Metrics. 9th International Conference on Affective Computing and Intelligent Interaction (ACII), pages 1-8, September 2021. doi: 10.1109/ACII52823.2021.9597393 . ZSCC: 0000000 ISSN: 2156-8111.

To access the UBComfort dataset, please contact Professor Nadia Berthouze or Dr Youngjun Cho.