Publication: Extracting Heart Rate from Videos of Online Participants

Crowdsourcing experiments online allows for low-cost data gathering with large participant pools; however, collecting data online does not give researchers access to certain metrics. For example, physiological measures - such as heart rate (HR) - can provide high-resolution data about the physical, emotional, and mental state of the participant. We investigate and characterize the feasibility of gathering HR from videos of online participants engaged in single user and social tasks. We show that room lighting, head motion, and network bandwidth influence measurement quality, but that instructing participants in good practices substantially improves measurement quality. Our work takes a step towards online physiological data collection.

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Participants

Thomas Muender Matthew Miller
Max Birk
University of Saskatchewan
Regan Mandryk
University of Saskatchewan

Citation

Muender, T., Miller, M.K., Birk, M., Mandryk, R.L. 2016. Extracting Heart Rate from Videos of Online Participants. In In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'2016), San Jose, CA, USA. 4562-4567.

BibTeX

@inproceedings {381-CHI2016VideoHeart_cameraready_final,
author= {Thomas Muender and Matthew Miller and Max Birk and Regan Mandryk},
title= {Extracting Heart Rate from Videos of Online Participants},
booktitle= {In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'2016)},
year= {2016},
address= {San Jose, CA, USA},
pages= {4562-4567}
}