TY - GEN
T1 - GreenMonitor
T2 - 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015
AU - Aras, Shravan
AU - Johnson, Thienne
AU - Cabulong, Kristoffer
AU - Gniady, Chris
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - Health monitoring applications using smart devices are becoming increasingly popular due to an expanding number of new devices available and growing affordability of such devices. Smartwatches provide a new way to acquire data for heart rate and activity levels via accelerometers, gyroscopes, and other builtin sensors, which can enable a full range of health applications to improve users' lives. However, continuous heart rate monitoring can significantly reduce the operating time of a smartwatch, reducing the applicability for continuous monitoring. We propose GreenMonitor to extend the operating time of a smartwatch while maintaining accuracy of heart rate monitoring by leveraging the correlation between heart rate and activity level changes indicated by the accelerometer data. Through detailed implementation and evaluation we show that GreenMonitor can save 26% energy, on average for our traces, while maintaining accurate physical activity tracking and evaluation.
AB - Health monitoring applications using smart devices are becoming increasingly popular due to an expanding number of new devices available and growing affordability of such devices. Smartwatches provide a new way to acquire data for heart rate and activity levels via accelerometers, gyroscopes, and other builtin sensors, which can enable a full range of health applications to improve users' lives. However, continuous heart rate monitoring can significantly reduce the operating time of a smartwatch, reducing the applicability for continuous monitoring. We propose GreenMonitor to extend the operating time of a smartwatch while maintaining accuracy of heart rate monitoring by leveraging the correlation between heart rate and activity level changes indicated by the accelerometer data. Through detailed implementation and evaluation we show that GreenMonitor can save 26% energy, on average for our traces, while maintaining accurate physical activity tracking and evaluation.
UR - http://www.scopus.com/inward/record.url?scp=84966659117&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84966659117&partnerID=8YFLogxK
U2 - 10.1109/HealthCom.2015.7454518
DO - 10.1109/HealthCom.2015.7454518
M3 - Conference contribution
AN - SCOPUS:84966659117
T3 - 2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015
SP - 317
EP - 322
BT - 2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 October 2015 through 17 October 2015
ER -