2019
DOI: 10.3389/fpsyg.2019.00716
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The Landscape of Movement Control in Locomotion: Cost, Strategy, and Solution

Abstract: Features of gait are determined at multiple levels, from the selection of the gait itself (e.g., walk or run) through the specific parameters utilized (stride length, frequency, etc.) to the pattern of muscular excitation. The ultimate choices are determined neurally, but what is involved with deciding on the appropriate strategy? Human locomotion appears stereotyped not so much because the pattern is predetermined, but because these movement patterns are good solutions for providing movement utilizing the mac… Show more

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Cited by 13 publications
(15 citation statements)
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“…Mammalian locomotion is composed of a sequence of musculoskeletal positions to exert force [1,2] and, when compromised, organisms can adapt and uncouple these components to prioritize efficiency [3][4][5]. These adaptations for the economy of movement can be measured as changes in gait.…”
Section: Introductionmentioning
confidence: 99%
“…Mammalian locomotion is composed of a sequence of musculoskeletal positions to exert force [1,2] and, when compromised, organisms can adapt and uncouple these components to prioritize efficiency [3][4][5]. These adaptations for the economy of movement can be measured as changes in gait.…”
Section: Introductionmentioning
confidence: 99%
“…Energetic cost landscapes outline how modifying a given gait parameter affects energy cost and thereby identify the value of a given gait parameter associated with the lowest cost in walking (Croft et al . 2019). During tied‐belt treadmill walking with the belts running at the same speed, symmetry in step times is energetically optimal (Ellis et al .…”
Section: Introductionmentioning
confidence: 99%
“…Complementary to the idea of error-based learning, split-belt treadmill adaptation may also reflect energy optimization (Finley et al 2013). Energetic cost landscapes outline how modifying a given gait parameter affects energy cost and thereby identify the value of a given gait parameter associated with the lowest cost in walking (Croft et al 2019). During tied-belt treadmill walking with the belts running at the same speed, symmetry in step times is energetically optimal (Ellis et al 2013), but it is unknown how step time asymmetry affects the energetic cost landscape during split-belt treadmill walking.…”
Section: Introductionmentioning
confidence: 99%
“…For biological systems, limiting energetic expense is of paramount concern (Alexander, 2001; Ruina et al, 2005). Although the concept of these losses have been suggested for some time (e.g., Alexander, 1991; Bekker, 1956; McGeer, 1990; Rashevsky, 1948) it is not until recently that their effect on walking dynamics has been fully appreciated (Bertram & Hasaneini, 2013; Croft, Schroeder, & Bertram, 2019b; Hasaneini, Macnab, Bertram, & Leung, 2013; Kuo, Donelan, & Ruina, 2005; Ruina et al, 2005). Consequently, it is necessary to understand this aspect of locomotion in order to interpret the role of movements and morphology that produces energetically effective walking, as displayed by modern humans and any stages on the path to the modern result.…”
Section: Limiting Loss As a Basis For Optimizing A Bipedal Walking Symentioning
confidence: 99%