Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 46 for “"human gait"”.
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Analysis Techniques for Identifying Light Touch in Human Gait
Falls that occur during the human gait cycle are the cause of numerous injuries among the elderly and those suffering from neuropathy. These falls can arise from postural sway and instability in the gait cycle, and therefore, understanding variability and stability differences in gait is of high …
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Feature Selection Using Genetic Algorithms for Human Gait Recognition
Many research studies have demonstrated that gait can serve as a useful biometric feature for human identification at a distance. Here we manifest the importance of feature selection in gait recognition systems. Feature selection is an important factor which impacts the classification accuracy. …
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Human gait pattern recognition for evaluation, diagnosis and control.
Thesis. 1978. Ph.D.--Massachusetts Institute of Technology. Dept. of Mechanical Engineering.
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Biomechanical adaptations of human gait due to external loads
Gait is the method of human locomotion using limbs. Recently, the analysis of human motion, specifically human gait, has received a large amount of research attention. Human gait can contain a wide variety of information that can be used in biometrics, disease diagnosis, injury rehabilitation, and …
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Quantitative assessment of human gait patterns using biomechanical and dynamical tools
… are one of the major issues today in terms of human suffering and economic loss. Falls are caused by a number of multifactorial risk factors. These factors are mainly classified into two categories, intrinsic factors such as aging, disease and impaired balance or mobility, and extrinsic factors …
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Quantifying coordination of human gait : fall risk and effects of aging
… RCM values were found when averaging across the gait phases. While older adults might require more time to complete a TUG task, the basic inter-joint coordination patterns utilized during gait seems to be preserved, suggesting a potential mechanism by which the brain is able to compensate for …
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Development of Machine Learning Models to Detect Dynamic Disturbances in Human Gait
… and achieving objectives that are closer to human cognitive capabilities. Gait is a series of intricate interactions for humans, and identifying impaired gait is critical for effective decision-making in clinical practice. However, analysing the complex biological system that governs gait can …
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Adaptability of Human Gait: Exploring Red Noise Auditory Stimuli and Gait Fluctuation Patterns
Using dynamical systems approaches to examine gait, it has been found that variability structure is important for understanding gait, and that stimuli can influence gait variability. The present study was performed to test for an adaptability limit and to analyze stepping strategies used for …
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Machine learning and autonomous system for human gait analysis based on walk speed
… Recently, Microsoft Kinect v2 has been used for gait analysis systems, to perform data classification of gait pattern changes based on walking speeds. This system enables the tracking without the need of any markers. Moreover, the Kinect camera is considered a low-cost device, and is quick to …
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The Effect of Knee Osteoarthritis on the Variability and Fractal Dynamics of Human Gait
… adult population, and has a greater influence on gait compared to the effects of aging alone. Spatiotemporal parameters can be used to quantify age-related changes in gait, however gait variability (i.e., the magnitude of stride-to-stride fluctuations with respect to time) and the fractal-scaling …
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Evaluating a reflexive neuromuscular gait model against real-world results
The inner workings of human gait are still not well understood. Many models of human gait exist, although no singular model provides insight on human gait behavior and how it alters under disturbances. In an effort to determine if a neuromuscular walking model is capable of predicting human gait …
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A SYSTEM lOR GAIT ANALYSIS
Human gait has been extensively studied in the past in the hope that a more thorough understanding of the differences between normal and abnormal gait, and the relationships between electromyogram (E.M.G.) and the force, may be obtained. In order to study these phenomena, both kinematic data …
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Investigating the Effects of Custom Made Orthotics on Brain Forms: A Pilot Study
… activity, wirelessly and continuously, during human gait, and (2) if custom made orthotics will alter the brain activity patterns recorded. METHODS: Gait trials were performed on 16 participants walking with and without orthotic devices in their shoes while simultaneously collecting EEG data …
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The biomechanics of human locomotion
… The thesis on CD-ROM includes Animate, GaitBib, GaitBook and GaitLab, four quick time movies which focus on the functional understanding of human gait. The CD-ROM is available at the Health Sciences Library.
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Incremental Learning in Regression Contexts
… on real world data for the specific use case of Human Gait Prediction. 2. Based on the results of the previous study, we introduce a new Incremental Learning scheme, that can tackle the problem of Incremental Human Gait Prediction without falling prey to Catastrophic Forgetting. Here, the use …
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Algorithms for Gait-Based Human Identification from a Monocular Video Sequence
Human gait is a spatio-temporal phenomenon that characterizes the motion characteristics of an individual. It is possible to detect and measure gait even in low-resolution video. This makes it an attractive modality in surveillance applications, where it is often difficult to get face or iris …
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A haptic control system for functional electrical stimulation of paraplegic legs
… movements of the subjects was compared to normal human gait and it was found that finger walking greatly resembles natural human gait. Further, it was determined that control was enhanced by haptic feedback. These results show that FES walking can benefit from a controller that incorporates …
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Human interaction & gait strategy with tightly-coupled lower-extremity systems
… devices tightly-coupled to the user's body) for human gait augmentation has soared recently, with research flourishing in system design, control, and use efficacy. Use cases span many fields, from military (e.g. load carriage assistance) to medicine (e.g. gait rehabilitation or restoration) and …
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Model Free Human Pose Estimation with Application to the Classification of Abnormal Human Movement and the Detection of Hidden Loads
The extraction and analysis of human gait characteristics using image sequences are an important area of research. Recently, the focus of this research area has turned to computer vision as an unobtrusive way to analyze human motions. The applications for such a system are wide ranging in many …
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