BioGlass: Physiological Parameter Estimation Using a Head-mounted Wearable Device
Author(s)Li, Yin; Rehg, James M.; Hernandez Rivera, Javier
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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.
DepartmentMassachusetts Institute of Technology. Media Laboratory
Proceedings of EAI 4th International Conference on Wireless Mobile Communication and Healthcare (Mobihealth), 2014
Institute of Electrical and Electronics Engineers (IEEE)
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.
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