• PNF and Movement
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• v.5 no.1
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• pp.37-47
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• 2007

Objective : A large proportion of stroke survivors have to deal with problems in gait. Proper evaluation of gait must be undertaken to understand the sensorimotor impairment underlying locomotor disorders post stroke. Methods : The characteristics of gait pattern with post stroke are reviewed in this paper. In particular, temporal distance parameters, kimematics, kinetics, as well as energy cost, EMG are focused. Results : The technology for gait analysis is moving rapidly. The techniques of 3D kinematic and kinetic analysis can provide a detailed biomechanical description of normal and pathological gait. This article reviews gait analysis method and characteristics of post stroke. Finally current method of gait analysis can provide further insight to understand paretic gait and therapeutic direction.

• Physical Therapy Rehabilitation Science
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• v.5 no.1
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• pp.34-39
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• 2016

Objective: Hip abductors play a role in providing stability and movement to the lower limbs. The purpose of this study was to examine the effects of hip abductor fatigue on static balance and gait in the general population. Design: One group pre-test post-test design. Methods: Thirteen university students in their twenties volunteered for the study and had underwent a functional assessment. To induce fatigue, the subjects were instructed to raise their dominant lower extremity up against a load of 50% of 1 repetition maximum while producing hip abduction in a side-lying position. Subjects were instructed to maintain an abduction speed of 30 repetitions per minute to induce fatigue. Muscle fatigue was considered to be established when subjects were unable to perform hip abduction three consecutive times along with the metronome. A post-test of balance and gait was performed immediately in order to prevent fatigue recovery. The center of pressure (COP) distance area was measured using the Zebris FDM-S Multifunction Force measuring plate. Gait performance was analyzed using the GAITRite. Results: The COP distance was increased after fatigue was induced. There was a significant increase in the standard deviation of the medio-lateral and antero-posteror distance (p<0.05). Although there was no significant difference in gait parameters, there was a significant decrease in single support time after fatigue was induced (p<0.05). Conclusions: There was an increase in static balance instability and a significant decrease in single support time during gait due to hip abductor muscle fatigue.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.9 no.2
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• pp.161-168
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• 2015

In this paper, we present an inertial sensor-based gait distance measurement system using accelerometer, gyroscope, and magnetometer. To minimize offset and gain error of inertial sensors, we performed the calibration using the self-made calibration jig with 9 degrees of freedom. For measuring accurate gait distance, we used gradient descent algorithm to remove gravity error and used analysis of gait pattern to remove drift error. Finally, we measured a gait distance by double-integration of the error-removed acceleration data. To evaluate the performance of our system, we walked 10m in a straight line indoors to observe the improvement of removing error which compared un-calibrated to calibrated data. Also, the gait distance measured by the system was compared to the measurement of the Vicon motion capture system. The evaluation resulted in the improvement of $31.4{\pm}14.38%$(mean${\pm}$S.D.), $78.64{\pm}10.84%$ and $69.71{\pm}26.25%$ for x, y and z axis, respectively when walked in a straight line, and a root mean square error of 0.10m, 0.16m, and 0.12m for x, y and z axis, respectively when compared to the Vicon motion capture system.

• Journal of Korean Institute of Industrial Engineers
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• v.17 no.2
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• pp.39-50
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• 1991

The movement of human beings - walking, running, jumping and climbing, etc. - have long been of scientific interest. In particular, the science of human walking is called gait analysis. Various instruments have been developed to assist in the study of human gait. Recently gait analysis techniques are used in medical research to investigate the abnormalities of pathological gait. In this study, we constructed a comprehensive gait analysis system consisting of a walkway, a force platform, foot-switches and an ExpertVision motion analysis system. Time-distance gait parameters and vector diagrams can be analyzed by a special application program called Force Analysis System(FOANAS). Using quantitative discrimination of this system, the gait characteristic parameters of normal and pathological gait is facilitated.

• Journal of the Korean Society of Physical Medicine
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• v.8 no.3
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• pp.425-431
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• 2013

PURPOSE: The purpose of this study was to examine the effect of visual control on gait speed and balance in patients with stroke. Static balance and gait speed were investigated with comparison and fixed direction of visual. METHODS: We included twenty-six patients with stroke. Participants were measured static balance while standing on a forceplate with one of 4 different visual direction in front, floor, non-affected side and affected side for 30 seconds. To compare of the gait speed, participants had to walk with one of fixed visual direction. And to compare of gait speed with visual dispersion, gait speed were measured with visual change in left and right, up and down direction every 5m, 2m and 1m intervals. RESULTS: The result of the static balance with fixed visual showed that the affected side and the non-affected side were shown significantly increased sway of total sway length, mediolateral distance, anteroposterior distance, average velocity(p<.05). The gait speed with fixed visual showed that affected side was significantly slower(p<.05). And the gait speed significantly increased as interval of visual dispersion decrease in the sagittal and horizontal plane(p<.05). CONCLUSION: The results from this study showed that the visual direction effected on static balance and the faster visual movement made to increase the gait speed. Therefore the rehabilitation training with visual control may be implemented for stroke patients.

• Journal of Korea Multimedia Society
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• v.23 no.8
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• pp.927-939
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• 2020

Gait recognition can identify people's identity from a long distance, which is very important for improving the intelligence of the monitoring system. Among many human features, gait features have the advantages of being remotely available, robust, and secure. Traditional gait feature extraction, affected by the development of behavior recognition, can only rely on manual feature extraction, which cannot meet the needs of fine gait recognition. The emergence of deep convolutional neural networks has made researchers get rid of complex feature design engineering, and can automatically learn available features through data, which has been widely used. In this paper,conduct feature metric learning in the three-dimensional space by combining the three-dimensional convolution features of the gait sequence and the Siamese structure. This method can capture the information of spatial dimension and time dimension from the continuous periodic gait sequence, and further improve the accuracy and practicability of gait recognition.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.9
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• pp.866-871
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• 2010

Gait analysis is essential for leg diagnosis and rehabilitation for the patients, the handicapped and the elderly. The use of 3D motion capture device for gait analysis is very common for gait analysis. However, this device has several shortcomings including limited workspace, visibility and high price. Instead, we developed gait estimation system using gyroscopes. This system provides gait information including the number of gaits, stride and walking distance. With four gyroscope (one for each leg's thigh and calf) outputs, the proposed gait modeling estimates the movements of the hip, the knees and the feet. Complete pedestrian localization is implemented with gait information and the heading angle estimated from the rate gyro and the magnetic compass measurements. The developed system is very useful for diagnosis and the rehabilitation of the pedestrian at the hospital. It is also useful for indoor localization of the pedestrians.

• Journal of the Korean Society of Physical Medicine
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• v.16 no.3
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• pp.99-106
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• 2021

PURPOSE: This study aimed to provide supporting data for the clinical use of breathing exercise with a WBV stimulation as a sustained and safe intervention program, by examining the effect of breathing exercise with WBV stimulation on the pulmonary function, gait ability, and life quality in patients with severe chronic obstructive pulmonary disease (COPD), who have difficulty performing exercise. METHODS: For this study, after collecting the samples from 20 patients with severe COPD, they were placed randomly in an experimental group to perform breathing exercises with a WBV stimulation (n = 10) and a control group to perform breathing exercises only (n=10). Before the intervention, pulmonary function, six-minute gait distance, and health-related life quality were measured as pre-tests. After applying the intervention program to the patients for 30 minutes once a day, for four days a week, for six weeks, the post-test items were remeasured in the same way as the pre-tests, and the results were analyzed. RESULTS: In the within-group comparison, both the experimental and control groups showed significant differences in the forced expiratory volume in one second, six-minute gait distance, and health-related life quality (p < .01) (p < .05). In the intergroup comparison, there were significant differences in the forced expiratory volume in one second and the six-minute gait distance (p < .05). CONCLUSION: WBV stimulation was more effective for the patients by improving the muscular strength and muscular endurance through the reflexive contraction of muscles, and increasing the exercise tolerance. This result could serve as an alternative means to clinically improve the physical function of patients with severe COPD, who have difficulty performing breathing exercises in the future.

• Journal of the Ergonomics Society of Korea
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• v.10 no.2
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• pp.15-22
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• 1991

Gait analysis techniques are widely used in Europe and the United States to investigate the loosening problems of total joint implantation and to improve the technologies in designing prosthetic devices. In Korea, however, the gait data are rarely found. Recently, as the standards of living become improved, the number of lower extremity operation patients increase rapidly. Therefore, a study on the gait characteristic parameters for Koreans is of great importance. In this study, time-distance gait parameters and ground reaction fore are analyzed using a FOANAS system developed by Pohang Institute of Science and technology (POSTECH). Gait parameters of Korean normal adults were preceded and comparisons were made for the distinction of sex and age.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.11
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• pp.2690-2701
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• 2013

Humans are able to recognize small number of people they know well by the way they walk. This ability represents basic motivation for using human gait as the means for biometric identification. Such biometric can be captured at public places from a distance without subject's collaboration, awareness or even consent. Although current approaches give encouraging results, we are still far from effective use in practical applications. In general, methods set various constraints to circumvent the influence factors like changes of view, walking speed, capture environment, clothing, footwear, object carrying, that have negative impact on recognition results. In this paper we investigate the influence of walking speed variation to different visual based gait recognition approaches and propose normalization based on geometric transformations, which mitigates its influence on recognition results. With the evaluation on MoBo gait dataset we demonstrate the benefits of using such normalization in combination with different types of gait recognition approaches.