Cardiac and Respiratory Parameter Estimation Using Head-mounted Motion-sensitive Sensors

J. Hernandez, Y. Li, J. M. Rehg, R. W. Picard

Research output: Contribution to journalArticlepeer-review


This work explores the feasibility of using motion-sensitive sensors embedded in Google Glass, a head-mounted wearable device, to robustly 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 waves of 12 participants during a controlled experiment. We show it is possible to achieve a mean absolute error of 0.82 beats per minute (STD: 1.98) for heart rate and 0.6 breaths per minute (STD: 1.19) for respiration rate when considering different observation windows and combinations of sensors. Moreover, we show that a head-mounted gyroscope sensor shows improved performance versus more commonly explored sensors such as accelerometers and demonstrate that a head-mounted camera is a novel and promising method to capture the physiological responses of the wearer. These findings included testing across sitting, supine, and standing postures before and after physical exercise.
Original languageEnglish (US)
Pages (from-to)e2
JournalEAI Endorsed Transactions on Pervasive Health and Technology
Issue number1
StatePublished - May 1 2015
Externally publishedYes


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