Dissertation/ Thesis
Analysis of Gait Patterns on Slopes using Tri-axial Accelerometry
| العنوان: | Analysis of Gait Patterns on Slopes using Tri-axial Accelerometry |
|---|---|
| Alternate Title: | 運用三軸加速度量測技術分析斜面之步態型態 |
| المؤلفون: | WANG, KE-XIANG, 王科翔 |
| Thesis Advisors: | WANG, WEN-FONG, 王文楓 |
| سنة النشر: | 2017 |
| المجموعة: | National Digital Library of Theses and Dissertations in Taiwan |
| الوصف: | 105 A typical exercise that human does everyday is walking. Gait will be formed according to the characteristics of the walking pattern of oneself as a person have a specific walking style that formed by his or her walking habits. Currently, gait recognition methods are generally divided into three categories such as image-based, force sensor, and wearable sensor. In the current gait-related researches, there is less research about slope walking. We proposed that wearable sensor with triaxial accelerations collected signals and found differences at different slopes through acceleration signals. Subjects are total twenty in this experiment and the conditions as follows : no obvious pigeon-toed or splay-foot, wearing comfortable and fit clothes, and walking on barefoot. The sensor were worn on the outside both ankles of subjects and collected acceleration of triaxial on the uphill, downhill, and level. Gait analysis of slopes are highly correlation at the downhill, uphill, and level of LR and TSt stages in this research. Some parts of duration of phases are changed in order to adapt to different slopes. Therefore, the walking patterns are changed by slopes. In terms of stability, left and right shaking at the downhill that is more instable than uphill and level. Therefore, the risks of walking on the downhill are higher than on the uphill and level. |
| Original Identifier: | 104YUNT0392028 |
| نوع الوثيقة: | 學位論文 ; thesis |
| وصف الملف: | 27 |
| الاتاحة: | http://ndltd.ncl.edu.tw/handle/4hp242 |
| رقم الانضمام: | edsndl.TW.104YUNT0392028 |
| قاعدة البيانات: | Networked Digital Library of Theses & Dissertations |
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