本文選題：Leap + Motion　； 參考：《中北大學(xué)》2017年碩士論文

【摘要】：隨著虛擬現(xiàn)實(shí)技術(shù)的快速發(fā)展和體感交互設(shè)備的不斷推廣,人們?cè)絹?lái)越傾向于使用自然、方便的方式實(shí)現(xiàn)人機(jī)交互,尤其是手勢(shì)交互。因此,虛擬現(xiàn)實(shí)系統(tǒng)中手勢(shì)識(shí)別的研究與發(fā)展具有重要的意義。沙畫(huà)創(chuàng)作是21世紀(jì)初期新興的一種藝術(shù)創(chuàng)作方式,沙子動(dòng)畫(huà)搭配流暢跌宕的背景音樂(lè)給人們帶來(lái)全新的視聽(tīng)感受。近些年,虛擬現(xiàn)實(shí)技術(shù)逐漸融入沙畫(huà)藝術(shù)中,形成虛擬沙畫(huà)。因此,本課題以虛擬沙畫(huà)為應(yīng)用背景,對(duì)手勢(shì)識(shí)別算法理論及Leap Motion的關(guān)鍵技術(shù)進(jìn)行了系統(tǒng)的研究,改進(jìn)手勢(shì)識(shí)別算法,設(shè)計(jì)并實(shí)現(xiàn)了基于Leap Motion和Unity 3D的虛擬沙畫(huà)系統(tǒng)。主要工作內(nèi)容如下:(1)深入研究手勢(shì)識(shí)別算法,結(jié)合稀疏表示方法和壓縮感知理論,引入基于稀疏表示的分類(lèi)(SRC)算法;在此基礎(chǔ)上,結(jié)合K-最近鄰(K-NN)算法,對(duì)SRC算法進(jìn)行改進(jìn),提出KNN-SRC算法,并從理論和實(shí)驗(yàn)兩方面驗(yàn)證其可行性。(2)結(jié)合KNN-SRC手勢(shì)識(shí)別算法,設(shè)計(jì)并實(shí)現(xiàn)了基于Leap Motion的手勢(shì)識(shí)別模型。本文充分利用Leap Motion精確捕獲人手信息的特性,完成數(shù)據(jù)的采集、特征向量的提取、指尖位置的檢測(cè)及跟蹤。同時(shí),改進(jìn)特征提取算法,優(yōu)化跟蹤算法,最終通過(guò)實(shí)驗(yàn)對(duì)相關(guān)改進(jìn)內(nèi)容的有效性進(jìn)行測(cè)試,為實(shí)現(xiàn)虛擬沙畫(huà)系統(tǒng)奠定基礎(chǔ)。(3)將構(gòu)建的基于Leap Motion的手勢(shì)識(shí)別模型及相關(guān)改進(jìn)算法應(yīng)用到Unity 3D平臺(tái)搭建的虛擬沙畫(huà)系統(tǒng)中。編寫(xiě)腳本文件定義手勢(shì)語(yǔ)義并在手勢(shì)識(shí)別后實(shí)現(xiàn)沙畫(huà)繪制,采用粒子系統(tǒng)模擬落沙效果,并導(dǎo)入在3Ds Max軟件中構(gòu)建的虛擬手模型提升系統(tǒng)的真實(shí)感。
[Abstract]:With the rapid development of virtual reality technology and the promotion of interactive devices, people are more and more inclined to use natural and convenient ways to realize human-computer interaction, especially gesture interaction. Therefore, the research and development of gesture recognition in virtual reality system is of great significance. Sand painting is a new art creation method in the early 21st century. Sand animation with smooth and volatile background music brings people a new audio-visual feeling. In recent years, virtual reality technology gradually into the art of sand painting, forming virtual sand painting. Therefore, based on the application background of virtual sand painting, this paper systematically studies the theory of gesture recognition algorithm and the key technology of Leap Motion, improves the algorithm of gesture recognition, and designs and implements a virtual sand painting system based on Leap Motion and Unity 3D. The main work of this paper is as follows: (1) We deeply study the gesture recognition algorithm, introduce the sparse representation classification algorithm based on sparse representation and compressed sensing theory, and then improve the SRC algorithm with the K-NNN algorithm, which is based on the K-NNN algorithm. The KNN-SRC algorithm is proposed, and the feasibility of the algorithm is verified theoretically and experimentally. Combining with the KNN-SRC gesture recognition algorithm, a gesture recognition model based on Leap Motion is designed and implemented. In this paper, we make full use of the characteristics of Leap Motion to capture human hand information accurately, complete data acquisition, feature vector extraction, fingertip location detection and tracking. At the same time, we improve the feature extraction algorithm, optimize the tracking algorithm, and finally test the effectiveness of the related improved content through experiments. In order to realize the virtual sand painting system, the gesture recognition model based on Leap Motion and the related improved algorithm are applied to the virtual sand painting system built on the Unity 3D platform. The script file defines gesture semantics and realizes sand drawing after gesture recognition. Particle system is used to simulate the effect of sand drop and the virtual hand model built in 3Ds Max software is used to improve the reality of the system.
【學(xué)位授予單位】：中北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TP391.41;TP391.9

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