The Human Gait

Braune, Wilhelm; Fischer, Otto

doi:10.1007/978-3-642-70326-3

Cited by 59 publications

(42 citation statements)

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“…With this push he lifts himself upward ' (Da Vinci, 2013;Klette and Tee, 2008). However, it was not until the 1800s and early 1900s that technology was developed and applied to record human motion and force during dynamic movement (Braune and Fischer, 1895;Braune and Fischer, 1987;Marey, 1873Marey, , 1894Medved, 2000;Muybridge, 1887;Weber and Weber, 1836). Throughout the 20th century there were marked advances in movement analysis technology (Baker, 2007;Klette and Tee, 2008;Sutherland, 2001Sutherland, , 2002Sutherland, , 2005.…”

Section: Introductionmentioning

confidence: 99%

A unified perspective on ankle push-off in human walking

Zelik

Adamczyk

2016

Journal of Experimental Biology

127

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Muscle-tendon units about the ankle joint generate a burst of positive power during the step-to-step transition in human walking, termed ankle push-off, but there is no scientific consensus on its functional role. A central question embodied in the biomechanics literature is: does ankle push-off primarily contribute to leg swing, or to center of mass (COM) acceleration? This question has been debated in various forms for decades. However, it actually presents a false dichotomy, as these two possibilities are not mutually exclusive. If we ask either question independently, the answer is the same: yes! (1) Does ankle push-off primarily contribute to leg swing acceleration? Yes. (2) Does ankle push-off primarily contribute to COM acceleration? Yes. Here, we summarize the historical debate, then synthesize the seemingly polarized perspectives and demonstrate that both descriptions are valid. The principal means by which ankle push-off affects COM mechanics is by a localized action that increases the speed and kinetic energy of the trailing push-off limb. Because the limb is included in body COM computations, this localized segmental acceleration also accelerates the COM, and most of the segmental energy change also appears as COM energy change. Interpretation of ankle mechanics should abandon an either/ or contrast of leg swing versus COM acceleration. Instead, ankle push-off should be interpreted in light of both mutually consistent effects. This unified perspective informs our fundamental understanding of the role of ankle push-off, and has important implications for the design of clinical interventions (e.g. prostheses, orthoses) intended to restore locomotor function to individuals with disabilities.

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Section: Introductionmentioning

confidence: 99%

A unified perspective on ankle push-off in human walking

Zelik

Adamczyk

2016

Journal of Experimental Biology

127

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“…In his book, "De motu animalium" (1680-1681) he analyzed the mechanical motions occurring in humans and in animal joints while walking, running and swimming [2]. The first experimental studies of human walking were conducted in Germany by Weber and Weber as early as in 1836 [3] and also by Braune and Fischer (1895) [4,5], in France by Marey (1863) [6], in America by W.O. Fenn (1935) [7], H. Elftman (1938) [8,9] and others (for example, E. Harless, H. von Helmholtz, E. Muybridge, H. von Meyer).…”

Section: Historical Notesmentioning

confidence: 99%

Statistical quantifiers of memory for an analysis of human brain and neuro-system diseases

Demin

Yulmetyev

Panischev

et al. 2008

Physica A: Statistical Mechanics and its Applications

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On the basis of a memory function formalism for correlation functions of time series we investigate statistical memory effects by the use of appropriate spectral and relaxation parameters of measured stochastic data for neuro-system diseases. In particular, we study the dynamics of the walk of a patient who suffers from Parkinson's disease (PD), Huntington's disease (HD), amyotrophic lateral sclerosis (ALS), and compare against the data of healthy people (CO -control group). We employ an analytical method which is able to characterize the stochastic properties of stride-to-stride variations of gait cycle timing. Our results allow us to estimate quantitatively a few human locomotion function abnormalities occurring in the human brain and in the central nervous system (CNS). Particularly, the patient's gait dynamics are characterized by an increased memory behavior together with sizable fluctuations as compared with the locomotion dynamics of healthy patients. Moreover, we complement our findings with peculiar features as detected in phase-space portraits and spectral characteristics for the different data sets (PD, HD, ALS and healthy people). The evaluation of statistical quantifiers of the memory function is shown to provide a useful toolkit which can be put to work to identify various abnormalities of locomotion dynamics. Moreover, it allows one to diagnose qualitatively and quantitatively serious brain and central nervous system diseases.

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“…Some researchers such as Braune and Fischer [9] attached light rods to the limbs of an individual to study body movement. Marey E.J [10] used a similar method but instead of light rods, he used white tape mounted on the limbs of the subject dressed in a black body stocking.…”

Section: Introductionmentioning

confidence: 99%

Dynamic FingerPrint based on human motion and posture

Hesami

Naghdy

Stirling

2013

2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics

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The feasibility of generating a Dynamic FingerPrint (DFP) for an individual is explored. DFP is a unique signature generated based on a combination of body part movements. The body movements are obtained using a sensor suit recording inertial signals that are subsequently modeled on a humanoid frame with 23 degrees of freedom (DOF). Measured signals include position, velocity, acceleration, orientation, angular velocity and angular acceleration. DTW (Dynamic Time Warping) is XVHG WR FODVVLI\ WKH LQGLYLGXDO ¶V identity. The approach is described and the characteristics of the algorithms are presented. It is anticipated that these approaches will have applications in surveillance and security, medical science and animation modeling. Classification results show an accuracy rate of 100% for the 10 subjects studied during validation.

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The Human Gait

Cited by 59 publications

References 0 publications

A unified perspective on ankle push-off in human walking

A unified perspective on ankle push-off in human walking

Statistical quantifiers of memory for an analysis of human brain and neuro-system diseases

Dynamic FingerPrint based on human motion and posture

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