gait analysis 中文意思是什麼
gait analysis
解釋
步態分析-
Gait analysis system
步態分析系統 -
Evaluation of gait analysis with the described device was performed preoperatively, before discharge, 1 month, 3 months, and 1 year postoperatively
結果顯示：在一年時，手術側的單足步伐的承受力道比率以及單足步伐的沖量比率，比術前有意義的進展。 -
We found that the video gait analysis was superior to the footprint method and believe it will be very useful in future studies on peripheral nerve injury
研究表明，視頻步態分析優于足跡分析。我們有理由相信，視頻步態分析在周圍神經損傷相關研究中將獲得越來越廣泛的應用。 -
This interest is driven by a wide spectrum of promising applications in many areas such as virtual reality, smart surveillance, perceptual user interface. gait analysis aims at attempting to detect, track and identify people, and more generally, to understand human behaviors, from image sequences involving humans
它在虛擬現實，視覺監控，感知介面中均有廣泛的應用前景，本文主要探討了視覺分析中步態圖像序列的檢測，特徵提取和分類識別等相關問題，並總結了當前步態識別國內外的研究現狀和常用的處理方法。 -
According to the dynamic boundary conditions during walking, the corresponding mechanical analysis was performed for five typical phases in a gait cycle of the residual limb
根據行走過程中殘肢與接受腔的動態邊界條件，對殘肢在一個步態周期內的5個典型步態時相進行了動態受力分析。 -
The stresses are measured on the residual limb / prosthetic socket interface with the advanced stress analysis instrument. by the analysis of the data, it is concluded the stress distribution while the subject are standing and during walking on different phase of gait cycle. the stabilization of the medial - lateral and anterior - posterior are analyzed
對患者穿戴接受腔的受力情況進行了實際測量，通過對所測數據的分析，總結出靜態和動態步態周期各階段殘肢表面的受力情況，分析了系統前後側和內外側的穩定性，並將實際測量結果與理論分析進行了比較研究，說明了二者的相同點和不同點以及產生不同的可能原因。 -
However, gait is a relatively new and emergent behavioral biometric, and gait recognition has received growing interest within the computer vision community recently, is currently the active research topic in the domain of visual analysis of human motion
盡管如此，步態識別作為生物特徵識別技術中的一個新興領域，目前引起了視覺研究者的濃厚興趣，成為近年來計算機視覺領域中備受關注的前沿方向，是人運動視覺分析的重要內容。 -
In this paper the technology of human identification based on gait is mainly concerned. we analyze some gait recognition methods that we have known and probed into the gait features extracting method especially. and a new gait recognition method based on kernel - based fisher discrimination analysis is proposed
本文提出了一種基於核函數的fisher判別分析（ kfda ）進行步態識別的演算法。在文中還分析和研究了現有的步態識別的各種方法，並介紹了一種提取步態特徵的方法。 -
In training process, we use kernel - based fisher discrimination analysis ( kfda ) method to train the input sample vectors. the method has been used in face recognition and has been demonstrated better recognition capability than other methods ( pca, kpca, svm ). we calculate the optimal subspace wopt and project the sample gait sequences to wopt, then get the tracks of the sequences, calculate the track centroid and calculate the exemplar projection centroid of the sequences in the same class, and the exemplar projection centroid represents the class template. to test the class of a gait sequence, we also project the test sequence to the eigenspace, and calculate the track centroid, then calculate the euclidean distance of the test sequence tracking centroid with the sample sequences ’ exemplar projection centroids. and the class which the test sequence belongs to is the one that the sample sequence which the euclidean distance is shortest belongs to
該方法在人臉識別的研究中已有採用並在同樣測試條件下取得比其他識別方法更好的識別性能。採用kfda方法取得最優特徵空間wopt ，把步態樣本序列映射到wopt中，取得樣本序列在特徵空間中的軌跡，計算軌跡質心，把同類樣本序列的軌跡質心進行平均求得該類的標本投影軌跡質心，作為該類的模板。在識別時，將測試序列也投影到特徵空間中，取得序列軌跡質心，對測試序列軌跡質心與樣本的標本投影軌跡質心計算它們的歐氏距離。
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