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
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;
Conference_Titel :
Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
Conference_Location :
JeJu Island
DOI :
10.1109/ISCE.2014.6884300
