• Title/Summary/Keyword: Walking patterns

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Comparison of Kinematic Data during Walking between Healthy People and Persons with Mild Intellectual Disability (건강한 성인과 경미한 지적장애를 가진 성인의 보행 중 운동학적 데이터 비교)

  • Jin, Da-Hyeon;Hwang, Young-In
    • PNF and Movement
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    • v.20 no.1
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    • pp.19-29
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    • 2022
  • Purpose: The purpose of this study was to analyze the gait patterns of adults with intellectual disability and healthy adults based on collected kinematic data on the lower extremities and to investigate the gait patterns of intellectually disabled people by comparing the differences between the two groups. Methods: The participants were divided into in one group of healthy adults (n = 9) and one group with mild intellectual disabilities (n = 9). 3D motion analysis (Myomotion) was used to collect kinematic data from each group while the participants walked 3 times over 10 m. As a statistical method, each group's kinematic data during walking was analyzed and compared using an independent sample t-test. Results: Comparing the kinematic data of the lower extremities during walking between the group with mild intellectual disability and the healthy group, there were significant differences between the two groups in the hip and ankle joints in the stance and swing phases. Conclusion: The analysis suggests that people with intellectual disabilities have kinematic differences compared with healthy people. Based on the results of this study, it is necessary to conduct further research on rehabilitation programs for joint stabilization, exercise for increasing joint range of motion, muscle strengthening exercise, and proprioception training for people with intellectual disabilities with insufficient physical function.

The Biomechanical Evaluation of New Walking-shoes (신 워킹 전문화의 생체역학적 기능성 평가)

  • Kim, Eui-Hwan;Chung, Chae-Wook;Lim, Jung
    • Korean Journal of Applied Biomechanics
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    • v.16 no.2
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    • pp.193-205
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    • 2006
  • This study was to analysis the kinematic and kinetic differences between new walking shoe(NWS : RYN) and general walking shoe(GWS). The subjects for this study were 10 male adults who had the walking pattern of rearfoot shrike with normal foot. The movement of one lower leg was measured using plantar pressure and Vicon Motion Analysis Program(6 MX13 and 2 MX40 cameras : 100 f / s) while the subjects walked at the velocity(1.5m/s. on 2m).. The results of this study was as follows : 1. The NWS was better than the GWS that caused injuries such as adduction, abduction and pronation are reduced While walking on a perpendicular surface, the landing angle and the knees angles were extensive which makes walking more safe which reduces anxiety and uneasiness. 2. The bottom of the NWS were now made into a more circular arch which supports the weight of the body and reduces the irregular angles when wearing GWS. This arch made the supporting area more wide which made the upholding the trunk of the body more effective. The whole bottom of the foot that supports the weight is more flexible in addition, increases the safeness of walking patterns and the momentum of the body. 3. The moment the heel of the foot of the NWS touch the ground, the range of the pressure were partially notable and the range of the pressure on the upper part of the thigh were dispersed The injuries that occurred while walking. primary factors when a shock related injuries are reduced Judgements of the impacts of the knees and the spinal column dispersing could be made.

Walking Motion Detection via Classification of EMG Signals

  • Park, H.L.;H.J. Byun;W.G. Song;J.W. Son;J.T Lim
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.84.4-84
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    • 2001
  • In this paper, we present a method to classify electromyogram (EMG) signals which are utilized to be control signals for patient-responsive walker-supported system for paraplegics. Patterns of EMG signals for dierent walking motions are classied via adequate filtering, real EMG signal extraction, AR-modeling, and modified self-organizing feature map (MSOFM). More efficient signal processing is done via a data-reducing extraction algorithm. Moreover, MSOFM classifies and determines the classified results are presented for validation.

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A Study on Walking Speed of the Disabled by Welfare Center Classification (장애인 시설별 장애인 이동속도에 관한 연구)

  • Kim, Eung Sik;Lee, Jeong Su;Kim, Jang Hwan;Kim, Myeoung Hun
    • Journal of the Korean Society of Safety
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    • v.31 no.5
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    • pp.124-132
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    • 2016
  • Welfare centers for disabled person which are typical facilities in Korea are classified into two catagories One is general welfare center for all type of disabled persons and the other is special welfare centers for special disabilities such as visually handicapped persons, hearing-impaired persons and the physically disabled. In this study the movements of disabled persons in daily lifes were measured and many evacuation drills in welfare centers were conducted for the achievement of basic data such as velocities and evacuation patterns of disabled persons The evacuation patterns are characterized by different kinds of disabilities.

A Small Humanoid Robot that can Play Golf (소형 인간형 로봇의 골프하기)

  • Kim, Jong-Woo;Cha, Chul;Cho, Dong-Kwon;Sung, Young-Whee
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.2
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    • pp.374-382
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    • 2007
  • Robot mobility and intelligence become more important for robots to be used in various fields other than automation. The main purpose of providing mobility to a robot is to extend the robot's manipulability. In this paper, we introduce a small humanoid robot that can autonomously play golf as an example of incorporating robot intelligence, mobility, and manipulability. The robot has 12 degrees of freedom for legs and has various basic walking patterns. It can move to a desired position and change orientation by combining the basic waking patterns. The robot has a color CCD camera and can extract coordinates of the objects in the environments. The small humanoid robot has 8 degrees of freedom for arms and can play golf autonomously with two kinds of dexterous swing motions. Kinematic analysis of the robot arms, vision data processing for the recognition of the environments, algorithm for playing robotic golf have been performed or proposed. The experimental results show that the robot can play golf autonomously.

Change of walking and stair up in hemiplegia by Proprioceptive Neuromuscular Facilitation techniques (고유수용성 신경근 촉진법에 의한 편마비 환자의 보행 및 계단 오르기 변화)

  • Kim Dae-Kyeong
    • The Journal of Korean Physical Therapy
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    • v.11 no.3
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    • pp.57-64
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    • 1999
  • The purpose of this study is to evaluate the effects of the lower extremities patterns in proprioceptive neuromuscular facilitation to the gait and stair up of the hemiplegic stroke patient. the patient was taken lower extremities patterns in porprioceptive neuromuscular facilitation with 5 times per week for 8 weeks. The results were as followings ; 1. The walking times was decreased from 78 seconds to 39 seconds at 20m, 2. The stride length was increased from 48.3cm to 93.3cm. 3. The step length was increassed from 25.2cm to 47.2cm. 4. The stair up was increased from 3.2cm to 15.5cm.

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Development and Evaluation of a New Gait Phase Detection System using FSR Sensors and a Gyrosensor (저항센서와자이로센서를이용한새로운보행주기검출시스템의개발및평가)

  • Ahn Seung Chan;Hwang Sung Jae;Kang Sung Jae;Kim Young Ho
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.10
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    • pp.196-203
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    • 2004
  • In this study, a new gait phase detection system using both FSR(Force Sensing Resister) sensors and a gyrosensor was developed to detect various gait patterns. FSR sensors were put in self-designed shoe insoles and a gyrosensor was attached to the posterior aspect of a shoe. An algorithm was also developed to determine eight different gait transitions among four gait phases: heel-strike, foot-flat, heel-off and swing. The developed system was compared with the conventional gait phase detection system using only FSR sensors in various gait experiments such as level walking, fore-foot walking and stair walking. In fore-foot walking and stair walking, the developed system showed much better accuracy and reliability to detect gait phases. The developed gait phase detection system using both FSR sensors and a gyrosensor will be helpful not only to determine pathological gait phases but to apply prosthetics, orthotics and functional electrical stimulation to patients with gait disorders.

Effects of Proprioceptive Neuromuscular Facilitation and Treadmill Training on the Balance and Walking Ability of Stroke Patients

  • Kim, Chang-Heon;Kim, Yong-Nam
    • The Journal of Korean Physical Therapy
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    • v.30 no.3
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    • pp.79-83
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    • 2018
  • Purpose: The purpose of this study was to investigate the effects of combined training using proprioceptive neuromuscular facilitation (PNF) patterns and treadmills on the balance and walking ability of stroke patients. Methods: Twenty-three stroke patients were randomized into a control group (n=11), receiving only treadmill training and an experimental group (n=12) receiving combined training. The use of both PNF exercise and treadmill were implemented in the combined training. Interventions were performed 5 times a week for 6 weeks. Balance ability was measured by a timed up and go (TUG) test. Walking ability was measured by a 10-meter walk test (10MWT) and a 6-minute walk test (6MWT). A paired t-test was used to compare differences between pre- and post-intervention and independent t-tests were used to compare between groups. Results: Changes in TUG, 10MWT, and 6MWT before and after interventions were significantly different for both the experimental group and the control group (p<0.05). In addition, within-group changes in the TUG, 10MWT, and 6MWT were more effective in the experimental group than in the control group (p<0.05). Conclusion: Combined training using PNF techniques and treadmills may be useful in improving the balance and walking ability of stroke patients.

A Study on the Risk of Traffic Accidents using Smart Devices while Walking (보행중 스마트기기 사용에 따른 교통사고 위험성 연구)

  • Yoo, Soonduck;Kang, Soochul
    • Journal of the Korean Society of Safety
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    • v.32 no.3
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    • pp.74-82
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    • 2017
  • This study was conducted to test the impacts of distractions caused by smartphones on pedestrians whilst walking alongside or across vehicular traffic in a high-density urban zone in South Korea. Through this study, we propose objective evidence for a link between the risk of traffic accidents and distractions from smartphones for pedestrians because of less likely notice activities surrounding road along their walking. This means that smartphones usage may cause inattentional blindness even during a simple activity that should require few cognitive resources. We conducted an experiment comparing pedestrian behavioral patterns of walking with smartphone distractions (such as listening to music with earphones or sending text messages) and normal walking without any distractions. In the experiment, participants walked along a pedestrian path prescribed by researchers and were observed at 8 points which were as follows: two observation points through which participants were instructed to listen to music whilst walking, two points where participants were instructed to send text messages, and four points through which participants were instructed not to use a smartphone at all. According to pedestrian behavior analysis, there is a trend for attention to be distributed amongst whatever other activities pedestrians are doing whilst walking. Therefore, this study proposes that pedestrians walking with such distractions are at a higher risk of traffic accidents compared to those who walk without such distractions. Thus, we advise for the South Korean government to consider ways to traffic policy that will enhance traffic safety for pedestrians.

The Effects of Backward Walking Training With Inclined Treadmill on the Gait in Chronic Stroke Patients (경사트레드밀에서 후방보행 훈련이 뇌졸중 환자의 보행에 미치는 영향)

  • Oh, Yong-seop;Woo, Young-keun
    • Physical Therapy Korea
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    • v.23 no.3
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    • pp.1-10
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    • 2016
  • Background: Gait problems appear in most stroke patients. Commonly, stroke patients show the typical abnormal gait patterns, such as circumduction, genu recurvatum, and spastic paretic stiff-legged gait. An inclined treadmill gait exercise is good for gait problems of stroke patients. In addition, the backward walking training has been recommended in order to improve the component of the movement for the forward walking. Objects: The purpose of this study to investigated the effects of backward walking with inclined treadmill training on the gait in chronic stroke patients. Methods: A total of 30 volunteers were randomly allocated to two groups that walked on an inclined treadmill: the experimental group ($n_1=15$), which walked backward, and the control group ($n_2=15$), which walked forward. To measure the improvement of the patients' gait, a Figure of Eight Walking Test (F8W), Four Square Step Test (FSST), and Functional Gait Assessment (FGA) were performed. We also measured spatio-temporal gait variables, including gait speed, cadence, stride length, and single limb support using a three-axial wireless accelerometer. The measurements were taken before and after the experiment. The Wilcoxon signed-rank test was used to compare both groups before and after the interventions. The Mann-Whitney U test was used for the comparisons after the interventions. The statistical significance was set at ${\alpha}=.05$. Results: Before and after experiment, all dependent variables were significantly different between the two groups (p<.05). As compared to the control group, the experimental group showed more significant improvements in F8W, FSST, speed, cadence, stride length, and single limb support (p<.05); however, FGA in this group was not significantly different from the control (p>.05). Conclusion: Our results suggest that backward walking on an inclined treadmill is more effective for improving the gait of stroke patients than forward walking.