TY - GEN
T1 - Patient-centric on-body sensor localization in smart health systems
AU - Saeedi, Ramyar
AU - Amini, Navid
AU - Ghasemzadeh, Hassan
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/4/24
Y1 - 2015/4/24
N2 - A major obstacle in widespread adoption of current wearable monitoring systems is that sensors must be worn on predefined locations on the body. In order to continuously detect sensor locations, we propose a localization algorithm that allows patients to wear the sensors on different body locations without having to adhere to a specific installation protocol. Our approach achieves localization accuracy of 90.8% even when the sensor nodes are mis-oriented. Integration of the resulting location information as a feature in an activity recognition classifier significantly increased the recognition accuracy from 23.5% to 99.5%.
AB - A major obstacle in widespread adoption of current wearable monitoring systems is that sensors must be worn on predefined locations on the body. In order to continuously detect sensor locations, we propose a localization algorithm that allows patients to wear the sensors on different body locations without having to adhere to a specific installation protocol. Our approach achieves localization accuracy of 90.8% even when the sensor nodes are mis-oriented. Integration of the resulting location information as a feature in an activity recognition classifier significantly increased the recognition accuracy from 23.5% to 99.5%.
UR - http://www.scopus.com/inward/record.url?scp=84940470206&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84940470206&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2014.7094840
DO - 10.1109/ACSSC.2014.7094840
M3 - Conference contribution
AN - SCOPUS:84940470206
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 2081
EP - 2085
BT - Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Y2 - 2 November 2014 through 5 November 2014
ER -