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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/63273

    Title: 腦波導引自走式看護系統設計與實現,-子計畫二:腦波導引自走式看護系統之機構設計;Machinery Design of Brain Signal Guiding Autonomous Nursing System
    Authors: 董必正
    Contributors: 國立中央大學機械工程學系
    Keywords: 機械工程;電子電機工程;資訊科學;軟體
    Date: 2012-12-01
    Issue Date: 2014-03-17 14:25:44 (UTC+8)
    Publisher: 行政院國家科學委員會
    Abstract: 研究期間:10108~10207;This proposal aim is to develop a brain signal guiding autonomous nursing system. The subjects use Steady-State Visual Evoke Potential (SSVEP) based Brain Computer Interface (BCI) system to control the autonomous nursing system. At first, some algorithms will be used to analyze and classify EEG signal. Then, the motor control algorithm and motor control circuit will combine EEG signal with autonomous nursing system when the EEG signal be classified and transmitted accurately. Finally, the grabbing motion will be implemented on the proposed brain signal guiding autonomous nursing system. This is a three-year proposal which consists of three subtopics: (a) the responsibility of subtopics I are extracting EEG signals, EEG signal analyses, and pattern recognition of EEG signals; (b) the responsibility of subproject II are the algorithm implemented on FPGA and motor drive circuit design of autonomous vehicle and machine claw; (c) the responsibility of subproject III are design and modeling of autonomous nursing system.
    Relation: 財團法人國家實驗研究院科技政策研究與資訊中心
    Appears in Collections:[機械工程學系] 研究計畫

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