Center of mass function approximation

A hybrid genetic algorithm sum-of-sines model is developed to estimate the resultant center of body mass (COM) trajectory. The COM is an important parameter to consider when evaluating or analyzing human postural control, and is indicative of the system's stability. However, currently available...

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Bibliographic Details
Main Authors: Betker, A.L., Moussavi, Z., Szturm, T.
Format: Conference Proceeding
Language:English
Subjects:
accelerometer
Accelerometers
Biological system modeling
center of mass
Control system synthesis
Control systems
Electrical capacitance tomography
Function approximation
genetic algorithm
Genetic algorithms
Humans
Stability
sum-of-sines
Weight control
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Description
Summary:A hybrid genetic algorithm sum-of-sines model is developed to estimate the resultant center of body mass (COM) trajectory. The COM is an important parameter to consider when evaluating or analyzing human postural control, and is indicative of the system's stability. However, currently available systems that calculate the COM are not readily available for clinical routine assessment, making it difficult to widely assess balance problems. The input to the genetic sum-of-sines model developed in this paper is acquired through two accelerometers; equipment that is inexpensive, easy to use and portable. The results indicate that the model developed in this paper shows promising results for obtaining COM estimates that have clinical applications.
DOI:10.1109/IEMBS.2004.1403251