TY - GEN
T1 - Potential for using smartphone accelerometers in non-laboratory environments
AU - Soangra, Rahul
AU - Lockhart, Thurmon E.
AU - Frames, Christopher W.
AU - Zhang, Jian
AU - Moon, Seong Hyun
AU - Park, Jongsoon
PY - 2014
Y1 - 2014
N2 - In recent years, there has been rising interest in using accelerometers as an alternative instrument to measure the center of pressure. Accelerometers are inexpensive, small, sensitive, and can be readily used in non-laboratory environments. In addition to this, smartphones with built-in accelerometers add to their capability with real-time processing of data from sensors. Clinicians and researchers are currently in disagreement from whether these measurements provide the same physiological information about the participant's balance. In this study, twelve participants were asked to wear smartphone on their right ASIS using a belt clip and stand still on the forceplate. The data was synchronized using a tap by the right foot and collected over a fifty second period for analysis. Various linear and non-linear measures were extracted from the time series of resultant principal component (PC) scores. The results show high correlation in the COP time series from the two instruments (R=0.86).
AB - In recent years, there has been rising interest in using accelerometers as an alternative instrument to measure the center of pressure. Accelerometers are inexpensive, small, sensitive, and can be readily used in non-laboratory environments. In addition to this, smartphones with built-in accelerometers add to their capability with real-time processing of data from sensors. Clinicians and researchers are currently in disagreement from whether these measurements provide the same physiological information about the participant's balance. In this study, twelve participants were asked to wear smartphone on their right ASIS using a belt clip and stand still on the forceplate. The data was synchronized using a tap by the right foot and collected over a fifty second period for analysis. Various linear and non-linear measures were extracted from the time series of resultant principal component (PC) scores. The results show high correlation in the COP time series from the two instruments (R=0.86).
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U2 - 10.1177/1541931214581349
DO - 10.1177/1541931214581349
M3 - Conference contribution
AN - SCOPUS:84957609304
T3 - Proceedings of the Human Factors and Ergonomics Society
SP - 1672
EP - 1675
BT - 2014 International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014
PB - Human Factors an Ergonomics Society Inc.
T2 - 58th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014
Y2 - 27 October 2014 through 31 October 2014
ER -