運用Kinect分析步態協調性和站立穩定度

Abstract

本研究是測量正常人步行步態協調性和站立穩定度的分析。受測者在跑步機 上用自選步行速度行走，再運用Kinect 抓取人體骨架20 個重要關節座標點，進 而算出運動學參數，例如角度、角速度等，從這些數據繪出和時間的關係曲線。 靜態平衡的測試要求受測者分別以雙腳和單腳站立於指定位置，其中每項又分開 眼、閉眼，還有是否用慣用腳，全部共分為八個小項目來測試，繪出身體晃動跟 時間軸關係的曲線，求出標準差，標準差越大代表晃動程度越大。測試對象為 14 名在學學生，其中男性13 名，女性1 名，平均年齡、身高、體重分別為25 ± 5 歲、170.6 ± 6.7cm、69.6 ± 19kg，還有一名已知患有疾病之受測者，測試數據可供比較對照。正常受測者顯示之數據曲線一致性很高，應可作為青年人之正常步態常模。

This study is to measure the normal walking gait coordination and standing stability analysis. Subjects on a treadmill with optional walking speed walking, then use the Kinect capture human skeleton 20 major joint coordinate points, then calculate the kinematic parameters such as angle, angular velocity, etc., from these data plotted versus time curve. Static balance test subjects were required to stand on one leg and both feet on the designated location, each of which has separate eyes opened, eyes closed, as well as whether to use Foot, all divided into eight small projects to test, draw the body relationship with the time axis of the curve shaking, calculated standard deviation, greater the standard deviation represents the greater the degree shaking. Test subjects were 14 students in the school, including 13 males and 1 female, mean age, height and weight were 25 ± 5 years old, 170.6 ± 6.7cm, 69.6 ± 19kg, there is one known to suffer from disease subjects, test data were available for comparison. Normal subjects show the consistency of the data curve is high, as young people should be the norm in the normal gait.