BioGlass: Physiological Parameter Estimation Using a Head-mounted Wearable Device
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Picard_Bioglass.pdf
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308.73 KB
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Author(s)
Li, Yin
Rehg, James M.
Hernandez Rivera, Javier
Date Issued
January 2015
Journal
Proceedings of EAI 4th International Conference on Wireless Mobile Communication and Healthcare (Mobihealth), 2014
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Heranandez, Javier, Yin Li and James M. Rehg. "BioGlass: Physiological parameter estimation using a head-mounted wearable device." EAI 4th International Conference on Wireless Mobile Communication and Healthcare (Mobihealth), Athens, Greece, 3-5 November, 2014. IEEE, 2014.
Version
Author's final manuscript
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.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1109/MOBIHEALTH.2014.7015908
