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Transitions To and From Asymmetrical Gait Patterns

Journal of Motor Behavior, 2004
Asymmetrical gait patterns such as the gallop provide insight into the complexity of human locomotion. The nature of spontaneous (e.g., walk-run), quasi-spontaneous (e.g., gallop-walk), and intentional (e.g., walk-gallop) transitions was analyzed in 2 ways in the present study.
Getchell, Nancy, Whitall, Jill
openaire   +3 more sources

Characteristic Patterns of Gait in the Healthy Old

Annals of the New York Academy of Sciences, 1988
If the influences of aging processes on gait are to be understood, gerontologists must become better versed in experimental methodology appropriate to locomotion research. They must also begin to conduct experiments that move beyond mere description. Systematic research efforts that are interdisciplinary in nature and that incorporate several types of ...
D D, Larish, P E, Martin, M, Mungiole
openaire   +2 more sources

Female gait patterns: The influence of footwear

Ergonomics, 1987
The two horizontal orthogonal ground reaction forces, mediolateral (Fx) and antero-posterior (Fy), together with limb segment displacements, were recorded simultaneously during gait from 24 female subjects aged 18–29 years. Recordings were made for each subject barefoot and when wearing each of four different pairs of shoes: soft-soled, rigid-soled ...
R W, Soames, A A, Evans
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Normative childhood EMG gait patterns

Journal of Orthopaedic Research, 1987
AbstractThe population characteristics of the linear envelopes of the electromyograms measured from seven lower extremity muscles in children were studied during locomotion. The variability and changes in pattern with respect to walking speed and age were investigated using statistical properties and analysis of variance of the envelopes.
R, Shiavi   +4 more
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Gait pattern in Duchenne muscular dystrophy

Gait & Posture, 2009
We investigated the gait pattern of 21 patients with Duchenne muscular dystrophy (DMD), compared to 10 healthy controls through 3D Gait Analysis. An overall observation of gait pattern in our DMD patients when compared to controls confirmed the data previously reported for small dystrophic groups.
M. D'Angelo   +8 more
openaire   +3 more sources

Gait pattern classification with integrated shoes

2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009
In this paper, we aim to study and classify gait patterns among flat walking, descending stairs, and ascending stairs using inertial measurement unit (IMU) including triaxial accelerometers and gyroscopes. Six subjects were invited to gather gait data of flat walking, descending stairs, and ascending stairs wearing the shoe-integrated system with free ...
Meng Chen 0004   +2 more
openaire   +1 more source

Gait recognition with Transient Binary Patterns

Journal of Visual Communication and Image Representation, 2015
Transient Binary Patterns of gait sequence.Inherently combines both appearance information and temporal information.Less sensitive to silhouette noise in individual frames. In this work, we present a combination of spatiotemporal approach and texture descriptors to extract the temporal patterns in gait cycles.
Chin-Poo Lee   +2 more
openaire   +1 more source

Mood, Depressive Illness and Gait Patterns

The Canadian Journal of Psychiatry, 1987
This study measures the ground force patterns of 87 normal, older adults. It tests the hypothesis that there is a relation between a subject's mood as measured by the Beck Inventory, and the ground reaction forces as measured by a force plate during normal gait.
L, Sloman   +4 more
openaire   +2 more sources

Singular spectrum analysis for gait patterns

2013 IEEE International Conference on Body Sensor Networks, 2013
This paper proposes a new approach to gait pattern analysis based on acceleration signals during different walking conditions. Instead of applying traditional classification techniques, the proposed method looks into the characteristics of acceleration signals.
Delaram Jarchi, Guang-Zhong Yang
openaire   +1 more source

A Method for Automated Gait Pattern Classification

2016
This work presents the development of a data mining application for gait pattern classification. The objective is to understand the differences and similarities among patterns of walking from healthy and unhealthy subjects groups. The data repository contains the spatial parameters of centers of pressure (CoP) trajectories during gait.
Nicoli Silva   +6 more
openaire   +1 more source

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