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.