A computational model for dynamic analysis of the human gait

Vimieiro, Claysson Bruno Santos; Andrada, Emanuel; Witte, Hartmut; Pinotti, Marcos

doi:10.1080/10255842.2013.848859

Cited by 11 publications

(2 citation statements)

References 8 publications

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“…All volunteers signed the consent form for the test. [12,13] For the analysis of the movement of lower limbs, 20 reflexive markers were placed in the bony protuberances of the lower limbs, as specified by the International Society of Biomechanics (ISB) [14]. The volunteers were subjected to a walk on a treadmill, with controlled speed of 4,5 Km/h.…”

Section: IImentioning

confidence: 99%

Analysis of the Method for Estimating the Hip Joint Centre for determination of the Hip and Knee Joint Angles

Martins¹,

Vieira²,

Nascimento³

et al. 2019

IJAERS

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The study of the human gait through the joints angles is an important branch of the biomechanics. The joints angles define the behavior of a segment in relation to another and, consequently, the overload on the tissues. The hip joint centre (HJC), regression equations system based on pelvic anatomy, is a parameter frequently used as reference point to determinate the hip and knee angles, therefore, is considered in the literature as an important factor in the kinemactics analysis of the human gait. Two analytical methods are recognized in the HJC estimation, the predictive method uses the difference between the anatomical points of the human body in the data collect, and the functional method uses a sphere adjustment approach. In the present research, it was used kinemactics data from seven volunteers, collected by Qualisys® system on a treadmill, and through algorithms developed in MATLAB®, the HJC were estimated by two predictive method systems (Bell and Davis) and one system of the functional method (with sphere adjustment approach based on the StarArc movement) and the joints angles which describes the flexion/extension movement of the hip and the knee were determined. Finally, a study was carried out on the influence of the methods for HJC estimation in the determination of hip and knee joints angles. The errors presented in the HJC estimated by the three methods were documented, but did not present significant influence in the values found by the angles of the joints.

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Section: IImentioning

confidence: 99%

Analysis of the Method for Estimating the Hip Joint Centre for determination of the Hip and Knee Joint Angles

Martins¹,

Vieira²,

Nascimento³

et al. 2019

IJAERS

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“…The computational model is composed of a variety of blocks, including Body blocks representing the lower limb segments (thigh and shank), connected by Joint blocks representing the lower limb joints (hip and knee) and the DOFs between the bodies. A Ground block is also important for providing a reference point to the kinematic chain in the world coordinate system and defining a mechanical simulation environment [13].…”

Section: Models Of Human Motionmentioning

confidence: 99%

Dynamic Modeling and Complexity Analysis of Human Lower Limb under Various Speeds

Cao

2017

AMM

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Human lower limbs are the most important parts of human body due to their supporting the whole body in the process of human motions. There are many pathological joint diseases and accidental damage, such as traffic accident and falling off from high place, influencing the human daily life seriously. Therefore, dynamic model of human lower limb has received considerable interest from multi-disciplines including flexible mechanisms, smart structures, biomechanics and nonlinear dynamics. This paper establishes the simplified simulation model of human lower limb based on the acquired realistic data from human motions under different speeds. The model can not only describe dynamic characteristics of real lower limb but also can be simulated by realistic human lower limb motion excitation acquired by tri-axial accelerometers and inclinometers in different conditions. Consequently, the detailed dynamic information of human lower limb from the proposed model can be obtained. In order to analyze the variability of human motions, multiscale entropy (MSE) is employed to investigate the complexity of human motion signals for different speeds of motion. Motion transition characteristics under different speeds are exhibited for understanding adaptation mechanism of human motion. The results will be helpful for exoskeleton and lower limb rehabilitation robot.

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