Title :
Classification of physical activities using accelerometer signals
Author :
Hakan Sökün;Habil Kalkan;Bayram Cetişli
Author_Institution :
Bilgisayar Mü
fDate :
4/1/2012 12:00:00 AM
Abstract :
In this study, basic physical activities are classified using 3-axis accelerometer signals. The system is mainly proposed for mobile devices and basically objected to detect whether a person carrying this hardware is walking, running, or travelling in a car or bus. The developed system considers the accelerometer signals in constant bins and performs a real-time classification. The proposed system correctly classifies the signals obtained from a walker or from a person traveling in a vehicle at the rates of 95.66% and 99.23%, respectively.
Keywords :
"Accelerometers","Humans","Conferences","Abstracts","Mobile handsets","Hardware","Legged locomotion"
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2012 20th
Print_ISBN :
978-1-4673-0055-1
DOI :
10.1109/SIU.2012.6204506