Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
3-2008
Abstract
A promising architecture for remote healthcare monitoring involves the use of a pervasive device (such as a cellular phone), which aggregates data from multiple body-worn medical sensors and transmits the data to the backend. Unfortunately, the volume of data generated by increasingly sophisticated continuouslyactive sensors can overwhelm the resources on the mobile device. We propose imbuing the mobile device with the intelligence to perform context-aware filtering of sensor data streams in order to reduce transmissions in cases where the observed data corresponds to the norm expected by the system in a given context. To investigate the efficacy of this technique, we implemented the HARMONI middleware on a mobile device, and used it to collect real sensor data from users. Our experiments demonstrate that context-aware filtering can reduce the uplink bandwidth requirements of the system by up to 72%.
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom): Hong Kong, March 17-21
First Page
248
Last Page
251
ISBN
9780769531137
Identifier
10.1109/PERCOM.2008.110
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
MOHOMED, Iqbal; MISRA, Archan; EBLING, Maria; and JEROME, William.
HARMONI: Context-aware filtering of sensor data for continuous remote health monitoring. (2008). 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom): Hong Kong, March 17-21. 248-251.
Available at: https://ink.library.smu.edu.sg/sis_research/5262
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/PERCOM.2008.110