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Personal motion analysis using mobile cloud computing platform

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Item Summary

Title:Personal motion analysis using mobile cloud computing platform
Authors:Muramatsu, Nathan Kenji
Keywords:smart phones
Date Issued:May 2013
Publisher:[Honolulu] : [University of Hawaii at Manoa], [May 2013]
Abstract:With the increase of mobile accelerometers being used to measure physical activity, there has been an increase of interest in smart phone accelerometers. In this paper the Android smart phone's accelerometer is used to see if it can determine a person's activities. Android smart phones and their built in accelerometers were used to collect running and walking data of several volunteers. The smart phones were placed on different parts of the volunteer's person. Furthermore, these smart phones were placed in either an upside down or right side up orientation. The data was then transmitted to a cloud based system in order to store the data for later analysis. This paper discusses how the data will be analyzed using the Fourier transform. The data was analyzed for frequency and power and passed through a simple detector. Based upon the results of these analyses the accelerometers from the Android's smart phone can differentiate running and walking power as well as show if there is repetitive motion.
Description:M.S. University of Hawaii at Manoa 2013.
Includes bibliographical references.
Appears in Collections: M.S. - Electrical Engineering

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