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  • 學位論文

以影像為基礎之重度身障者人機介面

Imaged-Based Human Computer Interfaces for People with Severe Disabilities

指導教授 : 蘇木春
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摘要


本篇論文主要是提供一套以影像為基礎的低價位溝通輔具系統,讓不 同症狀的身障者都能夠操作系統,與家人或是朋友溝通,並且控制家中電 器。本系統的硬體只需要一台低價位的視訊攝影機以及一台個人電腦。 本論文的溝通輔具系統主要提供7 個日常生活中常用到的功能,分別 為語音溝通板、中英文輸入、家電控制、遠端協助、影音娛樂、瀏覽網際 網路以及傳送訊息。另外還有暫停與離開的選項。本系統主要提供三種溝 通介面。當身障者的手臂能夠動作時,可以利用手臂的動作來操作系統。 當身障者可以自主地控制嘴唇,可以利用嘴唇開闔來操作系統。當身障者 罹患重度疾病,像是腦性麻痺患者或是漸凍人,可以利用眨眼的方式來操 作系統。不同症狀的身障者可以選擇適用於自己的點選方式來操作本論文 提出的溝通輔具系統。 實驗結果顯示,使用眼動點選、唇動點選以及大動作點選等不同的方 式,都有九成以上的正確率。

並列摘要


This paper presents an implementation of a low-cost image-based communication aid system which allows people with disabilities to use their limited voluntary motions to communicate with family and friends, access computers, and control TV and air conditioner, etc. The system consists of only one low-cost web camera and a personal computer. The communication aid dichotomizes daily living necessities into 7 groups (e.g., Voiced Messages, Typing, Home Appliance Control, Help, A/V Entertainments, Web Surfing, Messages). In addition to the seven selections, Suspend and Exit, are another two available options. The system provides users with three kinds of operational interfaces to operate the communication aid. First of all, people who still are able to control their arms can operate the system via the movements of their arms. Secondly, for people who still can voluntarily open and close their mouths, the system can be operated via the open and the closure of the mouth. Thirdly, for people with severe disabilities, an extreme disability such as severe cerebral palsy or amyotrophic lateral sclerosis, the system can be operated via eye blinks. People with different kinds of disabilities can choose an appropriate operational interface from the aforementioned three interfaces to operate the communication aid. Experimental results show that the performance of the proposed communication aid is very encouraging.

參考文獻


[33] 李佳霖,「頭配式顯示器之人體生理參數量測分析」,碩士論文,醫學工程研究所,中原大學,民國九十年六月。
[2] M. J. Black, D. J. Fleet, and Y. Yacoob, “A Framework for Modeling Appearance Change in Image Sequences,” in International Conference on Computer Vision, 1998, pp. 660-667.
[3] M. Betke, J. Gips, and P. Fleming, “The Camera Mouse: Visual Tracking of Body Feature to Provide Computer Access for People with Severe Disabilities,” IEEE Trans. on Neural Systems and Rehabilitation Engineering, vol. 10, no. 1, pp. 1-10, 2002.
[4] T. N. Bhaskar, F. T. Keat, S. Ranganath, and Y. V. Venkatesh, “Blink Detection and Eye Tracking for Eye Localization,” in Conference on Convergent Technologies for Asia-Pacific Region, 2003, vol. 2, pp. 821-824.
[5] Y. L. Chen, F. T. Tang, W. H. Chang, M. K. Wong, Y. Y. Shih, and T. S. Kuo, “The New Design of an Infrared-Controlled Human-Computer Interface for the Disabled,” IEEE Trans. on Rehabilitation Engineering, vol. 7, pp. 474-481, Dec. 1999.

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陳家倫(2012)。應用臉部特徵偵測追蹤系統於盲多重障礙者溝通輔具改良之研究〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2012.00221
張宏毅(2010)。應用人臉偵測追蹤系統於盲多重障礙者溝通輔具設計之研究〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2010.01140
楊皓清(2009)。盲多重障礙者主動式與互動式溝通器軟硬體系統之整合設計與製作〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2009.00363
陳柏儒(2011)。人臉朝向偵測應用於平衡復健與人機介面〔碩士論文,國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-1903201314414912

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