2005
DOI: 10.1242/jeb.01658
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Abstract: SUMMARY Biomechanical studies often employ optical motion capture systems for the determination of the position of an object in a room-based coordinate system. This is not ideal for many types of study in locomotion since only a few strides may be collected per `trial', and outdoor experiments are difficult with some systems. Here, we report and evaluate a novel approach that enables the user to determine linear displacements of a proprietary orientation sensor during cyclical movement. This mak… Show more

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Cited by 157 publications
(204 citation statements)
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References 18 publications
(16 reference statements)
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“…Hutchinson et al 2006), the motions of the head and forequarters largely move out of phase, which may cancel each other's motions out to some extent. Hence, we are confident that the errors induced by neglecting the head and limb motions in our method will be small (see also van den Bogert et al 1996;Pfau et al 2005Pfau et al , 2006 and should not change the major trends. These assumptions are validated by using multi-segment kinematic data (see electronic supplementary material).…”
Section: Discussionmentioning
confidence: 64%
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“…Hutchinson et al 2006), the motions of the head and forequarters largely move out of phase, which may cancel each other's motions out to some extent. Hence, we are confident that the errors induced by neglecting the head and limb motions in our method will be small (see also van den Bogert et al 1996;Pfau et al 2005Pfau et al , 2006 and should not change the major trends. These assumptions are validated by using multi-segment kinematic data (see electronic supplementary material).…”
Section: Discussionmentioning
confidence: 64%
“…However, our inertial sensor processing may slightly reduce the CM displacement, as the digital filtering process (see §2) will remove some signals when reducing the noise ( Winter 1990). Yet this is inevitable for all motion analysis methods even the multiple camera system ( Winter 1990;Pfau et al 2005) as the noises, e.g. skin movements, are in a similar frequency band as the useful motion signals.…”
Section: Discussionmentioning
confidence: 99%
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“…Processing of IMU data followed published methods (Pfau et al, 2005) with 160 custom-written software in MATLAB (The Mathworks). 161…”
Section: Data Processing 158mentioning
confidence: 99%