BACKGROUND Aging brings about a number of degenerative changes in the body. The aging process in-creases its pace after the menopause. Women notice functional limitations in their daily lives, including mobility problems, as early as in their forties. Gait is one of the most reliable parameters reflecting the body's overall function and condition. The aim of this study was to determine the effe...

This paper investigated application of a machine learning approach (Support vector machine, SVM) for the automatic recognition of gait changes due to ageing using three types of gait measures: basic temporal/spatial, kinetic and kinematic. The gaits of 12 young and 12 elderly participants were recorded and analysed using a synchronized PEAK motion analysis system and a force platform during nor...

This paper describes a method of clothing-invariant gait recognition by modifying intensity response function of a silhouettebased gait feature. While a silhouette-based representation such as gait energy image (GEI) has been popular in gait recognition community due to its simple yet effective property, it is also well known that such a representation is susceptible to clothes variations since...

This thesis develops methods of control that allow a multi-legged robot to vary its stepping pattern, the gait of a robot, during locomotion. By constructing feedback control around the gaits a robot may use, we produce behaviors allowing a robot to switch amongst or return to certain gaits while performing feedback control during locomotion. Gait regulation is one specific aspect of gait-based...

Human Silhouette Extraction is one of the vital task in human abnormality gait detection. Hence in this study, extraction of human gait silhouette using Haar Cascade classifier is developed. This is done by detecting the region of interests (ROI) and by cropping the selected areas followed by background subtraction to eliminate unwanted background and further convert the images to silhouettes f...

In this paper, a gait transition method has proposed that allows a group of multi-agent hexapod robot to switch from one gait to another gait with stable condition, during different terrain navigation. Typical gaits of locomotion are analyzed for hexapod robot. Hexapod robots frequently operate various gaits to locomote over a variety of surfaces. To enable locomotion in a changing surface, hex...

Human face/gait-based gender recognition has been intensively studied in the previous literatures, yet most of them are based on the same database. Although nearly perfect gender recognition rates can be achieved in the same face/gait dataset, they assume a closed-world and neglect the problems caused by dataset bias. Real-world human gender recognition system should be dataset-independent, i.e...

In this paper, we propose a novel temporal template, called Chrono-Gait Image (CGI), to describe the spatio-temporal walking pattern for human identification by gait. The CGI temporal template encodes the temporal information among gait frames via color mapping to improve the recognition performance. Our method starts with the extraction of the contour in each gait image, followed by utilizing ...

Conventional subthalamic deep brain stimulation for Parkinson's disease (PD) presumably modulates the spatial component of gait. However, temporal dysregulation of gait is one of the factors that is tightly associated with freezing of gait (FOG). Temporal locomotor integration may be modulated differentially at distinct levels of the basal ganglia. Owing to its specific descending brainstem pro...

Tests of vision, vestibular function, peripheral sensation, strength, reaction time, balance and gait were administered to 183 community-dwelling women aged 22-99 years. Walking speed, stride length and cadence declined with age with corresponding increases in stance duration and percentage of the stride in the stance phase. Visual acuity and contrast sensitivity, tactile and vibration sense in...