Paper Info
Title
BioGlass: Physiological parameter estimation using a head-mounted wearable device
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.
Year
DOI
Venue
2014
10.1109/MOBIHEALTH.2014.7015908
Wireless Mobile Communication and Healthcare
Keywords
DocType
Citations 
acceleration measurement,accelerometers,biomechanics,body sensor networks,electrocardiography,feature extraction,gyroscopes,image sensors,intelligent sensors,medical signal processing,pneumodynamics,BioGlass,Glass accelerometer,ballistocardiogram,breaths,camera,embedded sensors,google glass,gyroscope,head-mounted wearable device,heart rate,mean absolute error,physical exercise,physiological parameter estimation,physiological signal measurement,pulse rate extraction,respiratory rate extraction,Ballistocardiogram (BCG),accelererometer,blood volume pulse (BVP),camera,daily life monitoring,gyroscope,head-mounted wearable device,heart rate,respiration rate
Conference
26
PageRank 
References 
Authors
1.32
5
4
Name
Order
Citations
PageRank
Javier Hernandez11017.58
Yin Li279735.85
James M. Rehg35259474.66
R. W. Picard487241493.12