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Kinect人體運(yùn)動(dòng)捕捉誤差及其空間分布

Positioning error and its spatial distribution of motion capture with Kinect

作者: 吳瑋瑩  王豫  李秦  攸興杰  陳天遠(yuǎn)  蒲放  樊瑜波                  
單位:                      北京航空航天大學(xué)生物與醫(yī)學(xué)工程學(xué)院(北京100191)        
關(guān)鍵詞:                     Kinect;  自然交互;  手勢(shì)識(shí)別;  精度模型          
分類(lèi)號(hào):
出版年·卷·期(頁(yè)碼):2014·33·4(344-348)
摘要:

目的 針對(duì)微軟發(fā)布的體感捕捉設(shè)備Kinect開(kāi)展精度測(cè)試實(shí)驗(yàn),檢測(cè)系統(tǒng)定位的位置誤差及其空間分布,為基于Kinect體感交互的生物醫(yī)學(xué)工程應(yīng)用提供參考。方法 本實(shí)驗(yàn)利用Kinect和高精度運(yùn)動(dòng)捕捉設(shè)備N(xiāo)DI Optotrak同時(shí)進(jìn)行人體運(yùn)動(dòng)捕捉,并采用Kinect和NDI進(jìn)行測(cè)量,結(jié)果取相對(duì)位移值進(jìn)行比較。以NDI的測(cè)量數(shù)據(jù)作為真實(shí)數(shù)據(jù)的有效近似,評(píng)估Kinect的測(cè)量精度。結(jié)果 本實(shí)驗(yàn)最終測(cè)得Kinect識(shí)別精度誤差為(0.0 283±0.0 186)m,均方根誤差為0.0 303m,水平角度識(shí)別范圍為51.49°。結(jié)論 Kinect的精度和穩(wěn)定性在cm級(jí),可應(yīng)用于康復(fù)訓(xùn)練、手術(shù)室設(shè)備控制等生物醫(yī)學(xué)工程領(lǐng)域,但對(duì)于精度要求更高的領(lǐng)域,如智能手術(shù)機(jī)器人的控制等,其精度和穩(wěn)定性還有待提高。

Objective To achieve the accuracy measurement by using the human-computer natural technique of the somatosensory capture device Kinect and to provide reference for the application prospect of the human-computer natural interaction in biomedical engineering (BME) field. Methods In this experiment, Kinect is used to locate the space coordinates and compared with the NDI motion capture system. The position is located at each measurement point both by Kinect and NDI. The relative displacement is adopted to assess the accuracy of Kinect while the data from NDI is used as a valid approximation of the real data. Results In the software and hard ware testing platform we constructed, the error is (0.0283±0.0186) m, and the root-mean-square error (RMS) is 0.0303m. These data are collected over a range of 51.49 degrees. Conclusions The accuracy and stability of Kinect are both in centimeter degree. It is acceptable in certain BME applications like rehabilitation training and the control of the operating room devices. The accuracy and stability need to be improved in other fields with higher requests, like the control of operating room robots.

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