The application of GMM and K-nearest neighbor classifier in the study of EEG recognition
碩士 === 國立交通大學 === 統計學研究所 === 105 === In this thesis, we investigate the feasibility of using Electroencephalography（EEG） to recognize the brain response under different conditions. In signal recognition, the Gaussian mixture distribution is a widely-used model. In this study, we adopt the Gaussian m...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/93kwem |