DocumentCode :
640487
Title :
Evaluating and overcoming the challenges in utilizing smart mobile phones and standalone accelerometer for gait analysis
Author :
Chan, Herman ; Huiru Zheng ; Haiying Wang ; Sterritt, Roy
Author_Institution :
Sch. of Comput. & Math., Comput. Sci. Res. Inst., Univ. of Ulster, Newtownabbey, UK
fYear :
2012
fDate :
28-29 June 2012
Firstpage :
1
Lastpage :
5
Abstract :
This paper aims to discuss the underlying issues with the use of accelerometers sensors within mobile devices to support gait analysis. Standalone accelerometer provides quantitative measurements of acceleration. In recent research within healthcare informatics, accelerometers have been utilised in applications such as activity recognition. However issues such as sampling rates and missing values while sampling when using accelerometers remain challenging. This research investigates these limitations and explores two different standalone accelerometers and accelerometers embedded mobile devices.
Keywords :
acceleration; acceleration measurement; accelerometers; biomedical equipment; biomedical measurement; computerised instrumentation; gait analysis; health care; intelligent sensors; medical diagnostic computing; pattern recognition; sampling methods; smart phones; accelerometer embedded mobile devices; activity recognition; healthcare informatics; missing values; quantitative acceleration measurement; sampling rates; smart mobile phones; standalone accelerometer sensors; support gait analysis; accelerometer; gait analysis; sampling rate; smart mobile;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Signals and Systems Conference (ISSC 2012), IET Irish
Conference_Location :
Maynooth
Electronic_ISBN :
978-1-84919-613-0
Type :
conf
DOI :
10.1049/ic.2012.0207
Filename :
6621186
Link To Document :
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