Quantitative human gait analysis

Zanchi, Vlasta; Papić, Vladan; Cecić, Mojmil

doi:10.1016/s0928-4869(00)00014-8

Cited by 15 publications

(7 citation statements)

References 4 publications

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“…This is an advantage of this method, it allows one to choose different combinations of variables that compose the state vector, independently of the nature of the variables considered. In addition, the use of phase-plane plots of joint angles and joint angular velocities to describe gait and to obtain parameters for the evaluation of gait performance is a powerful technique (Zanchi et al, 2000). It must be noted that this method is influenced by measurement noise and sampling frequency, which could cause errors in the identification of the nearest neighbors.…”

Section: General Remarks On the Sequence Of States Methodsmentioning

confidence: 99%

Describing gait as a sequence of states

Forner-Cordero

Koopman

Helm

2006

Journal of Biomechanics

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Section: General Remarks On the Sequence Of States Methodsmentioning

confidence: 99%

Describing gait as a sequence of states

Forner-Cordero

Koopman

Helm

2006

Journal of Biomechanics

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“…In fact, although the energy generation resulting from walking-induced footfall reaches as much as dozens of watts, the acting force direction of the foot is changing with time. Variation of the foot posture in different gait phases brings about difficulty in capturing the maximum energy from the human walking motion through the whole cycle [99]. Table 2.…”

Section: Energy Conversionmentioning

confidence: 99%

Overview of Human Walking Induced Energy Harvesting Technologies and Its Possibility for Walking Robotics

2019

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This study is mainly to provide an overview of human walking induced energy harvest. Focusing on the proportion of all energy sources provided by daily activity, the available human walking induced energy is divided with respect to the generation principle. The extensive research on harvesting energy results from body vibration, inertial element, and foot press to convert into electricity is overviewed. Over the past decades, various smart materials have been employed to achieve energy conversion. Generators based on electromagnetic induction or the triboelectric effect were developed and integrated. Small captured power and low overall efficiency are criticized. The concept of human walking energy harvest is extended into the wearable walking robotics using other mediums, such as fluid, to transmit power instead of electricity. By comparison, it is indicated that less energy conversion links are involved in energy regeneration of such applications and expected to guarantee less loss and higher efficiency. Meanwhile, in order to overcome the shortage of relatively low power output, comments are made that the harvester should be capable of adaptation under the condition that the mechanical energy of lower limb and feet is subject to change in different gait phases so as to maximize the collected energy.

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“…Researchers suggested that the relationship between hip, knee and ankle rotations are easily visualized and analysed in phase plots [27–28]. Multi-dimensional phase plots describe joint angular data, where the data of each joint is arranged on separate axes.…”

Section: Research Related To Human Gait Analysismentioning

confidence: 99%

“…Multi-dimensional phase plots describe joint angular data, where the data of each joint is arranged on separate axes. The advantages of these plots are that they are presented as a shape, where changes of individual style of locomotion are easily observable [28]. If cyclic movement (gait) is analysed, phase plots form closed curves, where data from each individual cycle is comparable with others.…”

Section: Research Related To Human Gait Analysismentioning

confidence: 99%

“…If the measurement system is capable of measuring segment's 3D kinematics, it is advised to use 3D angular data. Zanchi developed a methodology for normal gait recognition and evaluation in which all kinematics data have been presented in the phase plane using phase plots [28]. Presentation of human or humanoid locomotion joint kinematics by using phase plane plots provides more information of the joint kinematics and also gives more accurate evaluation of gait events.…”

Section: Research Related To Human Gait Analysismentioning

confidence: 99%

See 1 more Smart Citation

New Kinematic Parameters for Quantifying Irregularities in the Human and Humanoid Robot Gait

Stančić

Šupuk

Bonković

2012

International Journal of Advanced Robotic Systems

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Gait patterns of humans and humanoid robots are often described by analysing changes in angular rotation of hip, knee and ankle joints during one gait cycle. Each joint displays specific behaviour and irregularities of the gait pattern could be detected by measuring displacements from the normal rotation curve, while small deviations of individual gait characteristics are usually not easily detected. In this paper, an advanced gait analysis method is proposed, which incorporates analysis of angular data and its derivations of hip, knee, and ankle joints, presented in the phase plane. The gait kinematics was measured using a system based on active markers and fast digital cameras. The experiment included measurements on thirty healthy, barefoot humans while walking on a treadmill. We also simulated types of irregular gait, by measurements on subjects wearing knee constraints. The new kinematic parameters which are introduced clearly indicated the discrepancy between normal, healthy gait trials and irregular gait trials. The proposed gait factor parameter is a valuable measure for the detection of irregularities in gait patterns of humans and humanoid robots

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Quantitative human gait analysis

Cited by 15 publications

References 4 publications

Describing gait as a sequence of states

Describing gait as a sequence of states

Overview of Human Walking Induced Energy Harvesting Technologies and Its Possibility for Walking Robotics

New Kinematic Parameters for Quantifying Irregularities in the Human and Humanoid Robot Gait

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