Detection Analysis and Design for Unstable Gait with Non-vision Base

碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 99 === Under that prevention being better than treatment is the highest and invariably healthy ruler, the gait analysis will be one of the major study topics since un-stable gait is to disclose one early symptom. In this study, we first propose that the pressure sens...

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Main Authors: Hsiao-Tin Yu, 游筱婷
Other Authors: Chiu-Ching Tuan
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/3dh797
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spelling ndltd-TW-099TIT056520702019-05-15T20:42:28Z http://ndltd.ncl.edu.tw/handle/3dh797 Detection Analysis and Design for Unstable Gait with Non-vision Base 非視覺型之不穩步態偵測分析設計 Hsiao-Tin Yu 游筱婷 碩士 國立臺北科技大學 電腦與通訊研究所 99 Under that prevention being better than treatment is the highest and invariably healthy ruler, the gait analysis will be one of the major study topics since un-stable gait is to disclose one early symptom. In this study, we first propose that the pressure sensor device is employed and then embedded into the shoe-pad and the 3D accelerometer is built and plastered on the knee part such that our construction system is lower cost with the non-vision base for detecting and monitoring the un-stable gait. Integrated with the ZigBee wireless sensor network, we can implement the portable gait device, which can detect the body''s standing and walking gait information, the sole of the foot pressure distribution, and the crooked degree of the knee joint, for a long time. In our controller, the step-length, step-speed, and step-distance can be calculated out, and then they can employed to obviously distinguish the 7 steps of one completed gait by our designed fuzzy mechanism. This detected information can be compared with the standard gait parameters in literal; the analyzed gait parameters can early disclose ones un-stable gait information. Moreover, compared with Zebris FDM-S, the sole of the foot pressure distribution of our design is about within 3% error rate. Finally, during the gait swing period, our system can detect the one’s crooked degree of knee joint such that it can be used to analyze and then judge whether the crooked degree information is the normal range or not. Therefore, the practicability of our approach can be proved by above 3 descriptions. Chiu-Ching Tuan 段裘慶 2011 學位論文 ; thesis 65 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 99 === Under that prevention being better than treatment is the highest and invariably healthy ruler, the gait analysis will be one of the major study topics since un-stable gait is to disclose one early symptom. In this study, we first propose that the pressure sensor device is employed and then embedded into the shoe-pad and the 3D accelerometer is built and plastered on the knee part such that our construction system is lower cost with the non-vision base for detecting and monitoring the un-stable gait. Integrated with the ZigBee wireless sensor network, we can implement the portable gait device, which can detect the body''s standing and walking gait information, the sole of the foot pressure distribution, and the crooked degree of the knee joint, for a long time. In our controller, the step-length, step-speed, and step-distance can be calculated out, and then they can employed to obviously distinguish the 7 steps of one completed gait by our designed fuzzy mechanism. This detected information can be compared with the standard gait parameters in literal; the analyzed gait parameters can early disclose ones un-stable gait information. Moreover, compared with Zebris FDM-S, the sole of the foot pressure distribution of our design is about within 3% error rate. Finally, during the gait swing period, our system can detect the one’s crooked degree of knee joint such that it can be used to analyze and then judge whether the crooked degree information is the normal range or not. Therefore, the practicability of our approach can be proved by above 3 descriptions.
author2 Chiu-Ching Tuan
author_facet Chiu-Ching Tuan
Hsiao-Tin Yu
游筱婷
author Hsiao-Tin Yu
游筱婷
spellingShingle Hsiao-Tin Yu
游筱婷
Detection Analysis and Design for Unstable Gait with Non-vision Base
author_sort Hsiao-Tin Yu
title Detection Analysis and Design for Unstable Gait with Non-vision Base
title_short Detection Analysis and Design for Unstable Gait with Non-vision Base
title_full Detection Analysis and Design for Unstable Gait with Non-vision Base
title_fullStr Detection Analysis and Design for Unstable Gait with Non-vision Base
title_full_unstemmed Detection Analysis and Design for Unstable Gait with Non-vision Base
title_sort detection analysis and design for unstable gait with non-vision base
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/3dh797
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