本文選題：MEMS慣性傳感器 + 運(yùn)動(dòng)跟蹤��； 參考：《南京理工大學(xué)》2017年碩士論文

【摘要】：航天測(cè)發(fā)任務(wù)是一項(xiàng)高風(fēng)險(xiǎn),高投資的復(fù)雜系統(tǒng)工程,在測(cè)試過(guò)程中對(duì)試驗(yàn)場(chǎng)操作人員的現(xiàn)場(chǎng)操作能力要求較高。虛擬現(xiàn)實(shí)技術(shù)作為信息傳遞與交流的手段,為測(cè)發(fā)任務(wù)提供虛擬環(huán)境,操作人員可以通過(guò)驅(qū)動(dòng)虛擬手在虛擬環(huán)境中完成檢測(cè)任務(wù),以此提高操作效率。論文以航天測(cè)發(fā)任務(wù)為研究背景,主要研究基于MEMS慣性傳感器的手部跟蹤技術(shù),實(shí)現(xiàn)手勢(shì)識(shí)別以及語(yǔ)義交互的設(shè)計(jì)。為實(shí)現(xiàn)虛擬手的運(yùn)動(dòng)跟蹤,開(kāi)發(fā)了一套基于慣性傳感器的手部運(yùn)動(dòng)跟蹤系統(tǒng)。通過(guò)分析人手的骨骼結(jié)構(gòu)和運(yùn)動(dòng)特性,構(gòu)建了三維手部骨骼模型。對(duì)手部初始姿態(tài)進(jìn)行標(biāo)定,將傳感器坐標(biāo)系轉(zhuǎn)換到手部骨骼坐標(biāo)系,并提出了一種手部骨骼比例的推算方法,使虛擬手更加真實(shí)。通過(guò)基于運(yùn)動(dòng)學(xué)的虛擬手位置解算,實(shí)現(xiàn)了手部運(yùn)動(dòng)的實(shí)時(shí)跟蹤。對(duì)設(shè)計(jì)的典型手勢(shì)進(jìn)行數(shù)據(jù)采集,提取行為特征來(lái)表示手勢(shì),通過(guò)主成分分析法對(duì)手勢(shì)特征數(shù)據(jù)進(jìn)行降維,應(yīng)用網(wǎng)格搜索和5折交叉驗(yàn)證的SVM分類算法。針對(duì)分類算法,分別使用多項(xiàng)式核函數(shù),徑向基核函數(shù)以及組合核函數(shù)對(duì)比識(shí)別率,選取最優(yōu)的核函數(shù),實(shí)現(xiàn)手勢(shì)識(shí)別。為實(shí)現(xiàn)航天測(cè)發(fā)任務(wù)中的交互研究,采用隱馬爾可夫模型對(duì)手部動(dòng)作序列識(shí)別。面向特定場(chǎng)景設(shè)計(jì)了虛擬手的語(yǔ)義交互過(guò)程,并在場(chǎng)景中進(jìn)行驗(yàn)證。論文的研究成果在航天發(fā)射任務(wù)仿真虛擬環(huán)境中得到應(yīng)用驗(yàn)證。
[Abstract]:The mission of spaceflight testing is a complex system engineering with high risk and high investment.Virtual reality technology, as a means of information transmission and communication, provides a virtual environment for testing and sending tasks, and the operator can improve the operation efficiency by driving virtual hands to complete the detection tasks in the virtual environment.Based on the research background of spaceflight hair testing task, this paper mainly studies the hand tracking technology based on MEMS inertial sensor, realizes the design of gesture recognition and semantic interaction.In order to realize the motion tracking of virtual hand, a hand motion tracking system based on inertial sensor is developed.By analyzing the skeletal structure and motion characteristics of human hand, a three-dimensional hand bone model was constructed.The initial attitude of the hand is calibrated, the sensor coordinate system is converted to the skeletal coordinate system of the hand, and a method of calculating the ratio of the hand bone is proposed to make the virtual hand more realistic.The real-time tracking of hand motion is realized by solving the position of virtual hand based on kinematics.The typical gestures are collected and the behavior features are extracted to represent the gestures. The dimensionality of gesture features is reduced by principal component analysis (PCA), and the SVM classification algorithm based on grid search and 5 fold cross-validation is applied.For the classification algorithm, the polynomial kernel function, the radial basis kernel function and the combined kernel function are used to compare the recognition rate, and the optimal kernel function is selected to realize gesture recognition.In order to realize the interactive research of spaceflight mission, Hidden Markov Model (hmm) is used to recognize the hand motion sequence.The semantic interaction process of virtual hand is designed for specific scene and verified in the scene.The research results of this paper have been applied to the simulation virtual environment of space launch mission.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：V55;TP391.9

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 楊麗春;顧穎彥;陶明明;;無(wú)人機(jī)航路規(guī)劃及視景仿真系統(tǒng)設(shè)計(jì)與實(shí)現(xiàn)[J];電子技術(shù)應(yīng)用;2016年09期

2 呂蕾;張金玲;朱英杰;劉弘;;一種基于數(shù)據(jù)手套的靜態(tài)手勢(shì)識(shí)別方法[J];計(jì)算機(jī)輔助設(shè)計(jì)與圖形學(xué)學(xué)報(bào);2015年12期

3 李東潔;李君祥;張?jiān)?曾y，

本文編號(hào)：1760182