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dc.contributor.author蔡政宏en_US
dc.contributor.authorTsai, Cheng-Hungen_US
dc.contributor.author徐保羅en_US
dc.contributor.authorHsu, Pau-Loen_US
dc.date.accessioned2014-12-12T01:46:55Z-
dc.date.available2014-12-12T01:46:55Z-
dc.date.issued2010en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT079812555en_US
dc.identifier.urihttp://hdl.handle.net/11536/46910-
dc.description.abstract由於自閉症孩童的獨特缺陷,會造成特定的行為與情感問題,目前復健輔助教育的方法包括:遊戲、音樂與藝術等結構性教學。本研究有別於傳統靜態平面教學,透過簡易之網路攝影機,建立起人形機器人的介面,以影像處理技術,得到身體特徵點之姿態擷取;並使用低成本加速度感測器,以無線感測網路ZigBee回傳至電腦,搭配動態規劃演算法,以最長共同子序列演算法(longest common subsequence; LCS)獲得相似度的比率,完成動作辨識的效能。本研究結合遠端電腦核心的處理,機器人不須藉由人為的操控,完成自主式之無線感測系統。 透過整個無線感測整合系統,本研究所設計之軟硬體實現於建立人形機器人與自閉症孩童之間的(1)靜態互動教學、(2)伴隨互動教學、(3)動態互動教學之三項教學,搭配音效等回饋系統,建構起整個迴路互動教學;並將設計之三項教學實現在自閉症孩童的日常教學中。實地測試研究對象為三位自閉症孩童,分別為十二歲男童、十一歲男童與十一歲女童,經實地觀察後,適當調整動作辨識率之門檻值為75%,並量化統計及做質性分析,整合實地測試的結果,由測試前後的差異性,經Likert scale彙整,得到此教學之可行性與自閉症孩童反應的評估。本研究成果驗證所設計之機器人回饋互動教學,能明顯的改善自閉症孩童的專注力與行為能力。zh_TW
dc.description.abstractCertain distinctive mental defects cause specific behaviors and emotional problems for autistic children. Recently, contemporary rehabilitation education for autistic kids mainly employs games, music, pictures, or virtual reality. In this study, the proposed approach is developed mainly on a humanoid robot interface to capture static gestures of the autistic children by applying image processing technologies. Furthermore, the system is integrated with data measured by the tri-axial accelerometer with the longest common subsequence (LCS) algorithm to determine their dynamic motion. Finally, the developed interactive system integrated with a ZigBee wireless system with a star topology network to communicate with a humanoid robot. In this thesis, three types of interactive education programs are developed for autistic kids as: (1) the static education for autistic children to imitate the robot, (2) the accompanying education for the robot to imitate the autistic children, and (3) the dynamic education for the autistic children to present a repetitive swinging motion. There were three kids participated in the present experiments: a 12-year boy, an 11-year boy, and an 11-year girl with different levels of the autism. The threshold ratio of motion recognition is suitably adjusted to 75% during the evaluation. Moreover, the Likert scale is adopted to compare the difference between the data before the test and those after test for the kids. Through the experiments, feasibility of the present designed education system has been proven and the developed robotic interactive education system can significantly improve concentration and behavior capacity of autistic children.en_US
dc.language.isozh_TWen_US
dc.subject自閉症孩童zh_TW
dc.subject人形機器人zh_TW
dc.subject影像處理zh_TW
dc.subject姿態擷取zh_TW
dc.subject加速度計zh_TW
dc.subject動作追蹤zh_TW
dc.subjectautistic childrenen_US
dc.subjecthumanoid roboten_US
dc.subjectimage processen_US
dc.subjectgesture captureen_US
dc.subjectaccelerometeren_US
dc.subjectmotion trackingen_US
dc.title實現自閉症孩童之互動式機器人教學系統zh_TW
dc.titleRealization of the Interactive Robotic Education System for Autistic Childrenen_US
dc.typeThesisen_US
dc.contributor.department電控工程研究所zh_TW
Appears in Collections:Thesis


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