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