Research Article
BioGlass: Physiological Parameter Estimation Using a Head-mounted Wearable Device
@INPROCEEDINGS{10.4108/icst.mobihealth.2014.257219, author={Javier Hernandez and Yin Li and James Rehg and Rosalind Picard}, title={BioGlass: Physiological Parameter Estimation Using a Head-mounted Wearable Device}, proceedings={4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"}, publisher={IEEE}, proceedings_a={MOBIHEALTH}, year={2014}, month={12}, keywords={ballistocardiogram blood volume pulse heart rate respiration rate head-mounted wearable device gyroscope accelererometer camera daily life monitoring}, doi={10.4108/icst.mobihealth.2014.257219} }- Javier Hernandez
Yin Li
James Rehg
Rosalind Picard
Year: 2014
BioGlass: Physiological Parameter Estimation Using a Head-mounted Wearable Device
MOBIHEALTH
IEEE
DOI: 10.4108/icst.mobihealth.2014.257219
Abstract
This work explores the feasibility of using sensors embedded in Google Glass, a head-mounted wearable device, to measure physiological signals of the wearer. In particular, we develop new methods to use Glass’s accelerometer, gyroscope, and camera to extract pulse and respiratory rates of 12 participants during a controlled experiment. We show it is possible to achieve a mean absolute error of 0.83 beats per minute (STD: 2.02) for heart rate and 1.18 breaths per minute (STD: 2.04) for respiration rate when considering different combinations of sensors. These results included testing across sitting, supine, and standing still postures before and after physical exercise.
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