• Title/Summary/Keyword: Stable walking pattern

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Effects of 12-Week Complex Training Program on Foot-Pressure Patterns of the Elderly Women (12주간 복합운동이 여성 노인의 족저압력에 미치는 영향)

  • Lee, Joong-Sook;Yang, Jeong-Ok;Lee, Bom-Jin;Park, Sang-Mook
    • Korean Journal of Applied Biomechanics
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    • v.19 no.1
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    • pp.117-126
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    • 2009
  • The purpose of this study was to investigate the effects of 12-week complex training program on foot pressure patterns of the elderly women. The training program consisted of aerobic exercise and muscular training for 12 weeks. Two stages of walking were given to the participants before and after treatment: (a) straight walking; and (b) turn at $45^{\circ}$ while walking. Data related to foot-pressure distribution(FPD) while walking were collected from each stage and analyzed. Results indicated that in both stage of walking, the mean of the foot pressure(FP) was significantly reduced after the participation in the program. Results also revealed that in all stages, the patterns of the FPD and the center of pressure(COP) were widely lower and more stable. Based on the results of this study, it was concluded that participating in a 12-week complex program bas impact on the gait patterns of the elderly women, reducing the foot pressure on their shoes.

Effects of Task-Specific Obstacle Crossing Training on Functional Gait Capability in Patients with Cerebellar Ataxia: Feasibility Study

  • Park, Jin-Hoon
    • The Journal of Korean Physical Therapy
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    • v.27 no.2
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    • pp.112-117
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    • 2015
  • Purpose: The purpose of this study was to examine the effects of a task-specific obstacle crossing rehabilitation program on functional gait ability in patients with cerebellar ataxia. Overall, we sought to provide ataxia-specific locomotor rehabilitation guidelines for use in clinical practice based on quantitative evidence using relevant analysis of gait kinematics including valid clinical tests. Methods: Patients with cerebellar disease (n=13) participated in obstacle crossing training focusing on maintenance of dynamic balance and posture, stable transferring of body weight, and production of coordinated limb movements for 8 weeks, 2 times per week, 90 minutes per session. Throughout the training of body weight transfer, the instructions emphasized conscious perception and control of the center of body stability, trunk and limb alignment, and stepping kinematics during the practice of each walking phase. Results: According to the results, compared with pre-training data, foot clearance, pre-&post-obstacle distance, delay time, and total obstacle crossing time were increased after intervention. In addition, body COM measures indicated that body sway and movement variability, therefore posture stability during obstacle crossing, showed improvement after training. Based on these results, body sway was reduced and stepping pattern became more consistent during obstacle crossing gait after participation in patients with cerebellar ataxia. Conclusion: Findings of this study suggest that task-relevant obstacle crossing training may have a beneficial effect on recovery of functional gait ability in patients with cerebellar disease.

Multi-legged robot system enabled to decide route and recognize obstacle based on hand posture recognition (손모양 인식기반의 경로교사와 장애물 인식이 가능한 자율보행 다족로봇 시스템)

  • Kim, Min-Sung;Jeong, Woo-Won;Kwan, Bae-Guen;Kang, Dong-Joong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.8
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    • pp.1925-1936
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    • 2010
  • In this paper, multi-legged robot was designed and produced using stable walking pattern algorithm. The robot had embedded camera and wireless communication function and it is possible to recognize both hand posture and obstacles. The algorithm decided moving paths, and recognized and avoided obstacles through Hough Transform using Edge Detection of inputed image from image sensor. The robot can be controlled by hand posture using Mahalanobis Distance and average value of skin's color pixel, which is previously learned in order to decide the destination. The developed system has shown obstacle detection rate of 96% and hand posture recognition rate of 94%.