• Journal of Korean Physical Therapy Science
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• v.27 no.3
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• pp.25-34
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• 2020

Background: Gait analysis is an important measurement for health professionals to assess gait patterns related to functional limitations due to neurological or orthopedic conditions. The purpose of this study was to investigate the reliability of the newly developed portable gait analysis system (PGAS). Design: Cross-sectional design. Test-retest study. Methods: The PGAS study was based on a wearable sensor, and measurement of gait kinematic parameters, such as gait velocity, cadence, step length and stride length, and joint angle (hip, knee, and ankle) in stance and swing phases. The results were compared with a motion capture system (MCS). Twenty healthy individuals were applied to the MCS and PGAS simultaneously during gait performance. Results: The test-retest reliability of the PGAS showed good repeatability in gait parameters with mean intra-class correlation coefficients (ICCs) ranging from 0.840 to 0.992, and joint angles in stance and swing phase from 0.907 to 0.988. The acceptable test-retest ICC was observed for the gait parameters (0.809 to 0.961), and joint angles (0.800 to 0.977). Conclusion: The results of this study indicated that the developed PGAS showed good grades of repeatability for gait kinematic data along with acceptable ICCs compared with the results from the MCS. The gait kinematic parameters in healthy subjects can be used as standard values for adopting this PGAS.

• Journal of Information Processing Systems
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• v.16 no.5
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• pp.1105-1112
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• 2020

Gait recognition, as a promising biometric, can be used in video-based surveillance and other security systems. However, due to the complexity of leg movement and the difference of external sampling conditions, gait recognition still faces many problems to be addressed. In this paper, an improved convolutional neural network (CNN) based on Gabor filter is therefore proposed to achieve gait recognition. Firstly, a gait feature extraction layer based on Gabor filter is inserted into the traditional CNNs, which is used to extract gait features from gait silhouette images. Then, in the process of gait classification, using the output of CNN as input, we utilize metric learning techniques to calculate distance between two gaits and achieve gait classification by k-nearest neighbors classifiers. Finally, several experiments are conducted on two open-accessed gait datasets and demonstrate that our method reaches state-of-the-art performances in terms of correct recognition rate on the OULP and CASIA-B datasets.

• The Journal of Korean Physical Therapy
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• v.8 no.1
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• pp.49-64
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• 1996

The technology of gait analysis is moving rapidly. Human gait is very complex, and a through understanding of it demands with the basic principles of biomechanics and the technology used to measure gait. Some professionals reluctance to use gait analysis may be due to the amount of time and effort necessary to accomplish this and the necessity for teamwork among the disciplines involved. Any form of observational gait analysis has limited precision and is more descriptive than quantative. The techniques of 3-D kinetic and kinematic analysis can provide a detailed biomechanical description of normal and pathological gait. This article review gait characteristics and procedures that are available for gait analysis. We are certain that, given the steady advance of technology and our continued efforts to document the benefits of that technology. gait analysis will soon be a routine part of the evaluation of both the elite athlete and the physically impaired adult or child.

• 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.

• Journal of the Korean Society of Physical Medicine
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• v.5 no.4
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• pp.577-585
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• 2010

Purpose : This study was to evaluate gait velocity and stance time on 5 conditions in elderly women and elderly women with LBP. The subjects were 70's generation. Methods : The subjects are 20 divided into 2 groups. They measured gait velocity, stance-time. The 5 conditions were normal gait, 10cm obstacle gait, 25cm obstacle gait, dual 10cm obstacle gait, dual 25cm obstacle gait. The experimental period was between 2008/12 and 2009/2. Statistical analysis was used Repeated measurement for difference between conditions, independent t-test for difference in two groups. Subjects were countdown from 50 during dual task gait. Results : The results were as follow: there were significantly difference 10cm obstacle velocity, dual 10cm obstacle velocity in two group. The others were not significantly differences. Velocity and stance-time were significantly difference in control group. In dual 25cm obstacle gait, velocity was difference of normal gait. Stance-time was difference in 25cm obstacle gait, and dual 25cm obstacle gait. In Experimental group, velocity and stance-time were not significantly difference. But measured value of velocity was gradually decreased and stance time was increased. Conclusion : These results indicate that elderly people with LBP women are reduced gait ability in dual task, and obstacle condition. So they need to prevent falling in dual task, and obstacle gait and to train obstacle/dual tak gait.

• Journal of the Korean Society of Physical Medicine
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• v.13 no.3
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• pp.19-25
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• 2018

PURPOSE: Most gait assessment tools are expensive and require controlled laboratory environments. Tri-axial accelerometers have been used in gait analysis as an alternative to laboratory assessments. Many smartphones have added an accelerometer, making it possible to assess spatio-temporal gait parameters. This study was conducted to confirm the reliability and validity of a smartphone-based accelerometer at quantifying spatio-temporal gait parameters of stroke patients when attached to the body. METHODS: We measured gait parameters using a smartphone accelerometer and gait parameters through the GAITRite analysis system and the reliability and validity of the smartphone-based accelerometer for quantifying spatio-temporal gait parameters for stroke patients were then evaluated. Thirty stroke patients were asked to walk at self-selected comfortable speeds over a 10 m walkway, during which time gait velocity, cadence and step length were computed from smartphone-based accelerometers and validated with a GAITRite analysis system. RESULTS: Smartphone data was found to have excellent reliability ($ICC2,1{\geq}.98$) for measuring the tested parameters, with a high correlation being observed between smartphone-based gait parameters and GAITRite analysis system-based gait parameters (r = .99, .97, .41 for gait velocity, cadence, step length, respectively). CONCLUSION: The results suggest that specific opportunities exist for smartphone-based gait assessment as an alternative to conventional gait assessment. Moreover, smartphone-based gait assessment can provide objective information about changes in the spatio-temporal gait parameters of stroke subjects.

• PNF and Movement
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• v.20 no.2
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• pp.295-306
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• 2022

Purpose: This study aimed to investigate the effect of robot-assisted gait training on the active ranges of motion, gait abilities, and biomechanical characteristics of gait in patients who underwent lower extremity surgery, and to verify the effectiveness and clinical usefulness of robot-assisted gait training. Methods: This study was conducted on 14 subjects who underwent lower extremity surgery. The subjects participated in robot-assisted gait training for 2 weeks. The active ranges of motion of the lower extremities were evaluated, and gait abilities were assessed using 10-m and 2-min walk tests. An STT Systems Inertial Measurement Unit was used to collect data on biomechanical characteristics during gait. Spatiotemporal parameters were used to measure cadence, step length, and velocity, and kinematic parameters were used to measure hip and knee joint movement during gait. Results: Significant improvements in the active ranges of motion of the hip and knee joints (flexion, extension, abduction, and adduction) and in the 10-m and 2-min walk test results were observed after robot-assisted gait training (p < 0.05). In addition, biomechanical characteristics of gait, spatiotemporal factors (cadence, step length, and velocity), and kinematic factors (gait hip flexion-extension, internal rotation-external rotation angle, and knee joint flexion-extension) were also significantly improved (p < 0.05). Conclusion: The results of this study are of clinical importance as they demonstrate that robot-assisted gait training can be used as an effective intervention method for patients who have undergone lower extremity surgery. Furthermore, the findings of this study are clinically meaningful as they expand the scope of robot-assisted gait training, which is currently mainly applied to patients with central nervous system conditions.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.397-397
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• 2000

This paper presents a gait control scheme for teleoperation of a quadruped-walking robot. In teleoperation of a walking robot, an operator gives a real-time generated velocity command to a walking robot instead of a moving trajectory. When the direction of the velocity command is changed, the periodic gait is not available because this requires an initial foot position . This paper proposes the aperiodic gait control scheme that can converge to a periodic gait Simulation results are given to demonstrate the efficiency of the proposed control scheme.

• 한국체육학회지인문사회과학편
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• v.54 no.5
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• pp.829-840
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• 2015

The purpose of this study was to investigated into the kinematics and ground reaction force for gait on induced stereoacuity in normal subjects with normal sight. Eighteen subjects who passed the stereoacuity testing were participated in the experiment(age: 22.1±2.7 years, height: 176.8±4.4 cm, weight: 67.6±5.8 kg). The study method adopted 3D analysis with six cameras and ground reaction force with two force-plates. The results were as follows; In gait velocity, obstacle crossing gait was slower than flat gait. In angular displacement of hip joint, mostly obstacle crossing gait was more flexed than flat gait. In angular displacement of knee joint, obstacle crossing gait was more flexed than flat gait, and stereoacuity reduction gait in TO and FC2 were more flexed than normal vision gait. In angular displacement of ankle joint, obstacle crossing gait in FC2 was more flexed than flat gait. In trunk tilt, obstacle crossing gait in MSt, TO and MSw were more extended than flat gait. In GRF, there was no significant in Fx, obstacle crossing gait in right and left foot were bigger propulsion force than flat gait, obstacle crossing gait in right and left foot were bigger braking force than normal vision gait in Fy, and obstacle crossing gait in right and left foot were bigger than flat gait in peak F1 and peak F2 of Fz, and stereoacuity reduction gait in right foot was lower than normal vision gait in valley force of Fz.

• Journal of International Academy of Physical Therapy Research
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• v.2 no.1
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• pp.207-213
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• 2011

In this case report, we investigated the effects of robot-assisted gait therapy in a chronic stroke patient using motor assessment and gait analysis. A patient who suffered from the right hemiparesis following the left corona radiata and basal ganglia infarction received 30 minutes of robot-assisted gait therapy, 3 times a week for 4 weeks. Outcome was measured using Motoricity index(MI), Fugl-Meyer assessment(FMA), modified motor assessment scale(MMAS), isometric torque, body tissue composition, 10-meter gait speed and gait analysis. After robot-assisted gait therapy, the patient showed improvement in motor functions measured by MI, FMA, MMAS, isometric torque, skeletal muscle mass, 10-meter gait speed. In gait analysis, cadence, single support time, double support time, step length, walking speed improvement in after robot-assisted gait therapy. The results of this study showed that robot-assisted gait therapy is considered to facilitate locomotor recovery of the chronic hemiparetic stroke patient.