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Comparison of Step Length Estimators from Wearable Accelerometer Devices
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Author(s): Diego Alvarez (University of Oviedo, Spain), Rafael C. González (University of Oviedo, Spain), Antonio López (University of Oviedo, Spain)and Juan C. Alvarez (University of Oviedo, Spain)
Copyright: 2008
Pages: 7
Source title:
Encyclopedia of Healthcare Information Systems
Source Author(s)/Editor(s): Nilmini Wickramasinghe (Illinois Institute of Technology, USA)and Eliezer Geisler (Illinois Institute of Technology, USA)
DOI: 10.4018/978-1-59904-889-5.ch034
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Abstract
Video-based gait analysis, and other measurement devices such as force-plates, electrogoniometers, or electrodes to measure EMG signals are adequate for laboratory studies but are not designed for usability in ambulatory applications. Conversely, accelerometers provide easily portable systems that supply real-time data, which is why they are widely used in ambulatory diagnostic devices. However, such systems do not provide direct measure of several spatio-temporal parameters of interest such as step length, walking distance, or walking velocity. Instead, they have to be estimated with a mathematical model from indirect sensor measurements. Specifically, in this chapter we are concerned with the accelerometry- based estimation of the step length in straight-line human walking.
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