An EEG-Controlled Integration System in Smart Space for Patients
碩士 === 國立勤益科技大學 === 資訊工程系 === 102 === In this study, we proposed a Brain-Computer Interface (BCI) with Steady-State Visually Evoked Potentials (SSVEP) to control several devices in a smart living space for paralyzed patients. In this system, we used FFT to extract SSVEPs from EEG signals in frequenc...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/04440071689576677656 |