EEG based mind controlled
Brain Computer Interfaces (BCIs) should be one of the most important technological in artificial intelligence. In this project will implement an Electroencephalography (EEG) base BCIs control system by using Filter Bank Common Spatial Pattern (FBCSP) algorithm as a feature extraction method and Extr...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2015
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| Online Access: | http://hdl.handle.net/10356/63594 |
| _version_ | 1826129979730034688 |
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| author | Wu, Qiu Long |
| author2 | Xie Lihua |
| author_facet | Xie Lihua Wu, Qiu Long |
| author_sort | Wu, Qiu Long |
| collection | NTU |
| description | Brain Computer Interfaces (BCIs) should be one of the most important technological in artificial intelligence. In this project will implement an Electroencephalography (EEG) base BCIs control system by using Filter Bank Common Spatial Pattern (FBCSP) algorithm as a feature extraction method and Extreme Learning Machine (ELM) as a feature classification method. Motor imagery is sensitive for think “left” and “right”. The Common Spatial Pattern (CSP) method is widely use for EEG signal feature extraction. Machine learning ELM method was used for both training and testing stage for classification. The results show 90% accuracy for two classes’ classification “think left” and “think right” and used this two classes’ classification permutation and combination to result output four directions. |
| first_indexed | 2024-10-01T07:49:05Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/63594 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:49:05Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/635942023-07-07T17:32:07Z EEG based mind controlled Wu, Qiu Long Xie Lihua Huang Guangbin School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering Brain Computer Interfaces (BCIs) should be one of the most important technological in artificial intelligence. In this project will implement an Electroencephalography (EEG) base BCIs control system by using Filter Bank Common Spatial Pattern (FBCSP) algorithm as a feature extraction method and Extreme Learning Machine (ELM) as a feature classification method. Motor imagery is sensitive for think “left” and “right”. The Common Spatial Pattern (CSP) method is widely use for EEG signal feature extraction. Machine learning ELM method was used for both training and testing stage for classification. The results show 90% accuracy for two classes’ classification “think left” and “think right” and used this two classes’ classification permutation and combination to result output four directions. Bachelor of Engineering 2015-05-15T06:41:32Z 2015-05-15T06:41:32Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/63594 en Nanyang Technological University 34 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Wu, Qiu Long EEG based mind controlled |
| title | EEG based mind controlled |
| title_full | EEG based mind controlled |
| title_fullStr | EEG based mind controlled |
| title_full_unstemmed | EEG based mind controlled |
| title_short | EEG based mind controlled |
| title_sort | eeg based mind controlled |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | http://hdl.handle.net/10356/63594 |
| work_keys_str_mv | AT wuqiulong eegbasedmindcontrolled |