本文選題：眼動(dòng)跟蹤 + 角膜瞳孔反射法�。� 參考：《哈爾濱理工大學(xué)》2017年碩士論文

【摘要】：眼動(dòng)跟蹤是一種新的人機(jī)交互方式,其原理是通過(guò)檢測(cè)人眼的狀態(tài)與特征來(lái)定位視線,并通過(guò)眼部動(dòng)作實(shí)現(xiàn)控制。隨著智能家居的快速發(fā)展與普及,將眼動(dòng)跟蹤技術(shù)融合進(jìn)智能家居也成為近些年的研究熱點(diǎn)�；谘蹌�(dòng)跟蹤的交互方式具有非接觸、低干擾等優(yōu)點(diǎn),在智能家居控制領(lǐng)域,將會(huì)有廣闊的應(yīng)用前景。本文設(shè)計(jì)的基于眼動(dòng)跟蹤的智能家居控制器,依據(jù)角膜瞳孔反射原理,采用SOPC技術(shù),選取FPGA作為控制核心,并結(jié)合圖像處理技術(shù),實(shí)現(xiàn)對(duì)智能家居的眼動(dòng)控制。系統(tǒng)算法設(shè)計(jì)方面,首先設(shè)計(jì)了眼部識(shí)別算法,在人臉紅外圖像中識(shí)別并定位眼部區(qū)域;其次設(shè)計(jì)了視線識(shí)別算法,其對(duì)眼部灰度圖像依次進(jìn)行圖像分割、邊緣檢測(cè)、橢圓擬合等處理,分別求出瞳孔和光斑的中心坐標(biāo);之后設(shè)計(jì)了視點(diǎn)映射算法,建立人臉圖像坐標(biāo)系與顯示屏坐標(biāo)系間的映射函數(shù),計(jì)算出視點(diǎn)在顯示屏上的顯示位置;此外本文還設(shè)計(jì)了眨眼檢測(cè)算法,用來(lái)實(shí)現(xiàn)人機(jī)交互。功能模塊設(shè)計(jì)方面,設(shè)計(jì)了圖像采集模塊,圖像顯示模塊,通信模塊和SOPC模塊。圖像采集模塊包含紅外照明單元和攝像頭模組。紅外照明單元提供近紅外光,攝像頭模組為系統(tǒng)提供視頻流數(shù)據(jù)。圖像顯示模塊使用集成了D/A的VGA顯示器來(lái)顯示視點(diǎn)信息和交互界面;以SDRAM作為顯存,用來(lái)存儲(chǔ)圖像信息。通信模塊通過(guò)GPIO與FPGA相連,以紅外線為載體發(fā)送控制信號(hào)。SOPC模塊作為系統(tǒng)的核心,以Quartus II開(kāi)發(fā)環(huán)境提供的Nios II內(nèi)核作為CPU,實(shí)現(xiàn)圖像處理算法。系統(tǒng)測(cè)試結(jié)果表明,本文設(shè)計(jì)的基于眼動(dòng)跟蹤的智能家居控制器系統(tǒng)資源占用率低至11%,準(zhǔn)確度超過(guò)90%,不僅實(shí)現(xiàn)眼動(dòng)跟蹤與控制,還留有足夠的系統(tǒng)資源來(lái)進(jìn)行后續(xù)的功能開(kāi)發(fā),達(dá)到了精度高、可擴(kuò)展的設(shè)計(jì)要求。
[Abstract]:Eye movement tracking is a new human-computer interaction method. The principle of eye tracking is to locate the line of sight by detecting the state and characteristics of human eyes and to realize the control by eye movement. With the rapid development and popularity of smart home, eye tracking technology has become a research hotspot in recent years. The interaction mode based on eye movement tracking has the advantages of non-contact and low interference, so it will have a broad application prospect in the field of intelligent home control. The intelligent home controller based on eye movement tracking is designed in this paper. According to the principle of corneal pupillary reflection, SOPC technology is adopted, FPGA is selected as the control core, and image processing technology is combined to realize eye movement control of smart home. In the aspect of system algorithm design, first, the eye recognition algorithm is designed to identify and locate the eye region in the face infrared image; secondly, the line of sight recognition algorithm is designed, which carries on the image segmentation and edge detection to the grayscale image of the eye in turn. The center coordinates of pupil and spot are obtained by ellipse fitting, then the view mapping algorithm is designed, and the mapping function between face image coordinate system and display screen coordinate system is established, and the display position of view point on the display screen is calculated. In addition, a blinking detection algorithm is designed to realize human-computer interaction. Function module design, image acquisition module, image display module, communication module and SOPC module. The image acquisition module includes infrared illumination unit and camera module. Infrared illumination unit provides near-infrared light, camera module provides video stream data for the system. The image display module uses VGA display integrated with D / A to display view information and interactive interface, and uses SDRAM as display memory to store image information. The communication module is connected with FPGA through GPIO. The control signal is sent by infrared ray. SOPC module is used as the core of the system, and the Nios II kernel provided by Quartus II development environment is used as the core of the system to realize the image processing algorithm. The system test results show that the system resource occupancy rate of the intelligent home controller based on eye movement tracking is as low as 11 percent and the accuracy is more than 90. The system not only realizes eye movement tracking and control, but also leaves enough system resources for subsequent functional development. Meet the design requirements of high precision and expandable.
【學(xué)位授予單位】：哈爾濱理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.41;TU855

【相似文獻(xiàn)】

相關(guān)期刊論文 前10條

1 廖壯嘉;智能家居的黃金時(shí)代[J];智能建筑與城市信息;2004年02期

2 廖壯嘉;20歲 智能家居的青春年華[J];智能建筑與城市信息;2004年03期

3 ;比爾·蓋茨的智能家居[J];中華建設(shè);2005年05期

4 陳鵬;;智能家居的系統(tǒng)分類和設(shè)計(jì)[J];儀器儀表標(biāo)準(zhǔn)化與計(jì)量;2006年02期

5 王偉光;;走近國(guó)外智能化家居[J];數(shù)字社區(qū)&智能家居;2007年02期

6 張鼎盛;;享受生活 享受智能家居[J];建材與裝修情報(bào);2007年05期

7 張鼎盛;;享受生活 享受智能家居[J];建材與裝修情報(bào);2007年07期

8 李磊;林曉杰;;智能家居的標(biāo)準(zhǔn)與協(xié)議[J];數(shù)字社區(qū)&智能家居;2008年01期

9 ;專注、專業(yè)、專心——打造智能家居行業(yè)第一媒體[J];數(shù)字社區(qū)&智能家居;2008年01期

10 戚振興;;淺議我國(guó)智能家居發(fā)展[J];廣西輕工業(yè);2009年10期

相關(guān)會(huì)議論文 前10條

1 吳效明;趙錦萌;吳劍波;;智能家居的醫(yī)療監(jiān)測(cè)技術(shù)研究[A];中國(guó)生物醫(yī)學(xué)工程學(xué)會(huì)成立30周年紀(jì)念大會(huì)暨2010中國(guó)生物醫(yī)學(xué)工程學(xué)會(huì)學(xué)術(shù)大會(huì)壁報(bào)展示論文[C];2010年

2 榮蓉;吳文p，

本文編號(hào)：1865787