DocumentCode :
656470
Title :
The statistical recognition of walking, jogging, and running using smartphone accelerometers
Author :
Thammasat, Ekachai
Author_Institution :
Eng. Dept., Thailand Inst. of Sci. & Technol. Res., Pathumthani, Thailand
fYear :
2013
fDate :
23-25 Oct. 2013
Firstpage :
1
Lastpage :
4
Abstract :
This study was conducted to statistically recognize the walking, jogging, and running activities by using accelerometers build-in a smartphone. Using the smartphone causes the user need not to carry another device more. The advantage of the study is to observe remotely any movement of an interested person at all time so the observer can manage appropriate program for exercise, monitor energy consumption, or evaluate calorie compensation. The method used for the recognition applied the statistical analysis: descriptive statistics, analysis of variance, F-test, and t-test.
Keywords :
accelerometers; biomedical measurement; gait analysis; patient monitoring; smart phones; statistical analysis; F-test; analysis of variance; calorie compensation evaluation; descriptive statistics; energy consumption monitoring; exercise monitoring; jogging; person movement; running activities; smartphone accelerometers; statistical analysis; statistical recognition; t-test; walking; Acceleration; Accelerometers; Analysis of variance; Legged locomotion; Monitoring; Sensors; Accelerometer; jogging; running; walking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering International Conference (BMEiCON), 2013 6th
Conference_Location :
Amphur Muang
Print_ISBN :
978-1-4799-1466-1
Type :
conf
DOI :
10.1109/BMEiCon.2013.6687689
Filename :
6687689
Link To Document :
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