Dynamics Of Human Gait

Author: Christopher L. Vaughan
Editor: Human Kinetics
ISBN:
File Size: 67,24 MB
Format: PDF, ePub, Mobi
Read: 5833
Download

Book establishes a framework for gait analysis and explains theories and techniques. Computer database enables the user to explore and plot over 250 combinations of the basic parameters used in gait analysis. Designed to make the theory and tools of 3-D gait analysis available to a person with basic knowledge of mechanics and anatomy.

The Biomechanics And Motor Control Of Human Gait

Author: David A. Winter
Editor: Waterloo Biomechanics
ISBN:
File Size: 22,42 MB
Format: PDF, ePub, Mobi
Read: 5539
Download


The Human Gait

Author: Wilhelm Braune
Editor: Springer Science & Business Media
ISBN: 3642703267
File Size: 16,68 MB
Format: PDF, ePub, Mobi
Read: 7186
Download

The different chapters of the present book were published separately each as a complete entity in the Proceedings of the Royal Saxon Society for Sciences. Chapter 1 appeared in 1895 under the names of Wilhelm Braune and Otto Fischer although Braune died immediately after the initial experiments, before the recordings had been interpreted. Chapters 2-6 were signed by Fischer only and appeared in 1899, 1900, 1901, 1903 and 1904. Basic data needed for this investigation of the human gait had been provided previously. A research on the centre of gravity ofthe human body and its different segments by both authors was published in 1889, determination of the moments of inertia of the human body and its segments in 1892. So far only the fIrst of these two works has been published in English. The other has been translated and awaits publication. Springer-Verlag must be congratulated for the quality of this edition and for the care they took in reproducing the original fIgures. This was certainly no easy task. We thank them for the patience they displayed towards the translators. Publication of the present book was made possible fInancially by Prof. M. Muller, Bern. We are grateful to him for his generosity and so will be the scientifIc community.

The Mental Representation Of The Human Gait In Patients With Severe Knee Osteoarthrosis A Clinical Study To Aid Understanding Of Impairment And Disability

Author:
Editor:
ISBN:
File Size: 29,92 MB
Format: PDF, ePub, Docs
Read: 5419
Download

Objective: Objectives were (1) to explore differences in gait-specific long-term memory structures and gait performance between knee osteoarthrosis patients and healthy subjects and (2) to identify the extent to which the gait-specific mental representation is associated with gait performance. Design: Cross-sectional study. Subjects: In total, 18 knee osteoarthrosis patients and 18 control subjects. Methods: Spatio-temporal (gait speed, step length) and temporophasic (stance time, swing time, single support time, total double support time) gait parameters and gait variability were measured with an electronic walkway (OptoGait). The mental representation was assessed using the structural dimensional analysis of mental representations (SDA-M). Results: (1) Patients showed significantly longer stance times (P

Human Gait Simulation Using Motion Generation Methods From Robotics

Author: Melya Boukheddimi
Editor:
ISBN:
File Size: 61,56 MB
Format: PDF, ePub, Mobi
Read: 4690
Download

The human body is a complex system made of more than 600 muscles, which contribute to the actuation of more than 200 Degrees of Freedom (DoFs) [35]. It is therefore a highly redundant system for most kinematic tasks. Many authors have suggested that the central nervous system does not independently control in real-time each muscle and DoFs [54]. Though the high number of muscles and DoFs makes motor control problems difficult, it offers high adaptation capabilities to the body for executing multiple tasks simultaneously when necessary [54]. Among the tasks that require a high level of motor coordination, bipedal gait is a crucial one. The bipedal gait is the natural means of human locomotion. Despite the fact that this movement is quite stereotyped across individuals, it is still unclear how the central nervous system coordinates the complex musculo-skeletal system for gait generation, and how the different sequences of the gait cycle are regulated. In order to address these issues, we proposed to simulate the human-like gait using a simplified model of poly- articulated rigid bodies (3D whole-body skeletal model including 42 degrees of freedom), on which we applied two different motion generation methods. Hence, this thesis is part of the human-like gait generation problem, using motion generation methods from robotics. The first contribution shows that controlling only a small set of adequately selected tasks is sufficient to closely reproduce the human gait kinematics. To this aim, a Hierarchical task controller is applied to the whole-body model with only 3 hierarchical tasks, to generate nine different human-like gaits. The analysis of the simulated gaits shows the emergence of significant human-like properties in walking. In order to validate our results, a comparison between the simulated and human reference joint rotations is conducted. In the end, a discussion is given to illustrate the interest of this approach comparing to related works.The second contribution is based on the well-known hypothesis that human motion is the result of an optimization process. We consider a reduced set of criteria, which seem to be optimized during the human gait, taken from the observation of human walking and the study of the related literature. Direct Optimal Control based on the Differential Dynamic Programming algorithm is applied following these criteria with the whole-body model to generate nine different walking motions. The simulated walking motions are then analyzed and compared to the human reference to show the quality of the gait generation process. The interest of this optimization approach for human-like motion generation is finally discussed. Finally, a comparison between the two methods from robotics is presented and discussed, involving an analysis of the obtained movements' quality.

Biomechanics Of Human Gait

Author: Christopher L. Vaughan
Editor: Human Kinetics
ISBN:
File Size: 20,14 MB
Format: PDF
Read: 7247
Download


Adaptability Of Human Gait

Author: A.E. Patla
Editor: Elsevier
ISBN: 9780080867328
File Size: 39,34 MB
Format: PDF, Kindle
Read: 8342
Download

A large number of volumes have been produced summarizing the work on generation and control of rhythmic movements, in particular locomotion. Unfortunately most of them focus on locomotor studies done on animals. This edited volume redresses that imbalance by focusing completely on human locomotor behaviour. The very nature of the problem has both necessitated and attracted researchers from a wide variety of disciplines ranging from psychology, neurophysiology, kinesiology, engineering, medicine to computer science. The different and unique perspectives they bring to this problem provide a comprehensive picture of the current state of knowledge on the generation and regulation of human locomotor behaviour. A common unifying theme of this volume is studying the adaptability of human gait to obtain insights into the control of locomotion. The intentional focus on "adaptability" is meant to draw attention to the importance of understanding the generation and regulation of "skilled locomotor behaviour" rather than just the generation of basic locomotor patterns which has been the major focus of animal studies. The synthesis chapter at the end of the volume examines how the questions posed, the technology, and the experimental and theoretical paradigms have evolved over the years, and what the future has in store for this important research domain.

Observation Of Human Gait

Author: Ilse Koerner
Editor:
ISBN:
File Size: 23,65 MB
Format: PDF, ePub
Read: 6074
Download


Human Identification Based On Gait

Author: Mark S. Nixon
Editor: Springer Science & Business Media
ISBN: 9780387294889
File Size: 19,89 MB
Format: PDF, ePub, Docs
Read: 3517
Download

Human Identification Based on Gait is the first book to address gait as a biometric. Biometrics is now in a unique position where it affects most people's lives. This is especially true of "gait", which is one of the most recent biometrics. Recognizing people by the way they walk and run implies analyzing movement which, in turn, implies analyzing sequences of images, thus requiring memory and computational performance that became available only recently. Human Identification Based on Gait introduces developments from distinguished researchers within this relatively new area of biometrics. This book clearly establishes how human gait is biometric. Human Identification Based on Gait is structured to meet the needs of professionals in industry, as well as advanced-level students in computer science.

Analysis Of Human Gait For The Evaluation Of Abnormalities In The Locomotor Apparatus

Author: Sandra E. Davies
Editor:
ISBN:
File Size: 14,84 MB
Format: PDF, Mobi
Read: 6488
Download


Modeling The Human Gait Phases Using Granular Computing

Author: Melaku Ayenew Bogale
Editor:
ISBN:
File Size: 18,29 MB
Format: PDF, ePub, Docs
Read: 8012
Download


The Effects Of Aging On The Component Movements Of Human Gait

Author: Donovan Riley Greene
Editor:
ISBN:
File Size: 28,59 MB
Format: PDF, Docs
Read: 9864
Download


Validation Of An Accelerometry Based Method Of Human Gait Analysis

Author: Obinna Nwanna
Editor:
ISBN:
File Size: 59,18 MB
Format: PDF, ePub
Read: 2401
Download

Abstract: Gait analysis is the quantification of locomotion. Understanding the science behind the way we move is of interest to a wide variety of fields. Medical professionals might use gait analysis to track the rehabilitation progress of a patient. An engineer may want to design wearable robotics to augment a human operator. Use cases even extend into the sport and entertainment industries. Typically, a gait analysis is performed in a highly specialized laboratory containing cumbersome expensive equipment. The process is tedious and requires specially trained operators. Continued development of small and cheap inertial measurement units (IMUs) over an alternative to current methods of gait analysis. These devices are portable and simple to use allowing gait analysis to be done outside the laboratory in real world environments. Unfortunately, while current IMU based gait analysis systems are able to quantify a subject's joint kinematics they are unable to measure joint kinetics as could be done in a traditional gait laboratory. A novel musculoskeletal model-based movement analysis system using accelerometers has been developed that can calculate both joint kinematics and joint kinetics. The aim of this master's thesis is to validate this accelerometer based gait analysis against the industry standard optical motion capture gait analysis.

A Procedure For The Dynamic Investigation Of Human Gait

Author: Trena Lynn Markus
Editor:
ISBN:
File Size: 14,26 MB
Format: PDF, Docs
Read: 226
Download


Gait Analysis

Author: Jacquelin Perry
Editor: Slack
ISBN: 9781556427664
File Size: 32,58 MB
Format: PDF, Kindle
Read: 3591
Download

The medical, healthcare, and rehabilitation professions key text for over 18 years on gait. Dr. Jacquelin Perry is joined by Dr. Judith Burnfield to present today's latest research findings on human gait. This Second Edition offers a re-organization of the chapters and presentation of material in a more user-friendly, yet comprehensive format. Essential information is provided describing gait functions, and clinical examples to identify and interpret gait deviations. Learning is further reinforced with images and photographs.

Machine Learning And Autonomous System For Human Gait Analysis Based On Walk Speed

Author: A. Elkurdi
Editor:
ISBN:
File Size: 75,97 MB
Format: PDF, ePub, Mobi
Read: 1351
Download


Optimization Based Prediction Of Human Gait

Author: Sarra Abbasher Mahmoud
Editor:
ISBN:
File Size: 44,92 MB
Format: PDF, ePub, Mobi
Read: 3800
Download


Human Gait On An Irregular Surface

Author: Sibylle B. A. Thies
Editor:
ISBN:
File Size: 22,38 MB
Format: PDF, Kindle
Read: 9006
Download


Feature Selection Using Genetic Algorithms For Human Gait Recognition

Author: Faezeh Tafazzoli
Editor:
ISBN:
File Size: 18,33 MB
Format: PDF, ePub, Mobi
Read: 9738
Download

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. This goal is achieved by discarding irrelevant and redundant information which affects both the classifier's performance and system's efficiency. Traditional gait recognition systems have mostly been evaluated without considering the most relevant features. In this study, we are going to investigate the use of Genetic Algorithm (GA) for selecting an optimal subset of features for a model-free gait recognition approach without degrading the classification accuracy. First, features are extracted using Kernel Principal Component Analysis (KPCA) on four spatio-temporal projections of silhouettes. Then, GAs are applied to choose a subset of Eigen-vectors that represent a subject's identity. Our experimental results, conducted on Georgia Tech (GT) database, indicate considerable performance improvements.