Algorithms that compute the displacement of an artifact based on the signals provided in real time by onboard inertial sensors.
Published in Chapter:
Comparison of Step Length Estimators from Wearable Accelerometer Devices
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
DOI: 10.4018/978-1-59904-889-5.ch034
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.