DocumentCode
1790168
Title
Mobile sensing platform for personal health management
Author
Piyare, Rajeev ; Seong Ro Lee
Author_Institution
Sch. of Eng. & Phys., Univ. of The South Pacific, Suva, Fiji
fYear
2014
fDate
22-25 June 2014
Firstpage
1
Lastpage
2
Abstract
This paper presents a smartphone based portable activity recognition system to record and recognize daily activity patterns of users. This system can assist patients and any individual to better understand their unhealthy behavior, however, making them to change that behavior by improving their daily level of physical activity.
Keywords
medical computing; pattern classification; smart phones; daily activity pattern recognition; daily activity pattern recording; mobile sensing platform; personal health management; physical activity; smartphone-based portable activity recognition system; Accelerometers; Context-aware services; Data collection; Educational institutions; Feature extraction; Monitoring; Pattern recognition; accelerometer; activity recognition; classification models; smartphone;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
Conference_Location
JeJu Island
Type
conf
DOI
10.1109/ISCE.2014.6884300
Filename
6884300
Link To Document