Using EEG to Perceive Emotions

碩士 === 國立中正大學 === 電機工程研究所 === 104 === Research of the human brain has gained some popularity in recent years. It is one of the most popular research fields. But products related to it, such as brainwave controlled devices are still scarce. The study of the brain wave control theory can be applied to...

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Bibliographic Details
Main Authors: Cheng-Wei Lin, 林政瑋
Other Authors: Nobert Michael Mayer
Format: Others
Language:en_US
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/54743118877225019384
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spelling ndltd-TW-104CCU004420172017-06-25T04:38:06Z http://ndltd.ncl.edu.tw/handle/54743118877225019384 Using EEG to Perceive Emotions 應用EEG感測器之大腦感知模型建構 Cheng-Wei Lin 林政瑋 碩士 國立中正大學 電機工程研究所 104 Research of the human brain has gained some popularity in recent years. It is one of the most popular research fields. But products related to it, such as brainwave controlled devices are still scarce. The study of the brain wave control theory can be applied to many areas, such as the development of healthcare, recreation, education, and even mobile devices. Furthermore the brain wave controlled products also have a chance to be used to help ALS (Amyotrophic Lateral Sclerosis) patients, MS (Multiple sclerosis) patients, or patients with prostheses. Furthermore, it can also be used to inspect vascular diseases, depression, anxiety or other disease caused by psychological pressure. In this paper, we will record brainwaves by using the electroencephalogram (EEG) signal captured by the Brain Computer Interface (BCI). The brain wave measurement system consist of analog amplifiers, low pass and high pass filters, notch filters, etc. The captured signal will then be converted by the Analog to Digital Converter (ADC) and sent to the computer. The captured signal spans between 0-30Hz, Note that the captured signal also contains some noise. So before the captured signal are passed to the computer it is first passed to the digital noise filter and independent components analysis (ICA) unit. The processed signals are then passed to the support vector machine (SVM) and further processed again by using Genetic Algorithms method. After that the signal are passed to the computer. The computer then group the captured signal to a category. In the future, it will also be possible to measure and group the brain wave signal of a specific disease. Nobert Michael Mayer 許宏銘 2016 學位論文 ; thesis 47 en_US
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description 碩士 === 國立中正大學 === 電機工程研究所 === 104 === Research of the human brain has gained some popularity in recent years. It is one of the most popular research fields. But products related to it, such as brainwave controlled devices are still scarce. The study of the brain wave control theory can be applied to many areas, such as the development of healthcare, recreation, education, and even mobile devices. Furthermore the brain wave controlled products also have a chance to be used to help ALS (Amyotrophic Lateral Sclerosis) patients, MS (Multiple sclerosis) patients, or patients with prostheses. Furthermore, it can also be used to inspect vascular diseases, depression, anxiety or other disease caused by psychological pressure. In this paper, we will record brainwaves by using the electroencephalogram (EEG) signal captured by the Brain Computer Interface (BCI). The brain wave measurement system consist of analog amplifiers, low pass and high pass filters, notch filters, etc. The captured signal will then be converted by the Analog to Digital Converter (ADC) and sent to the computer. The captured signal spans between 0-30Hz, Note that the captured signal also contains some noise. So before the captured signal are passed to the computer it is first passed to the digital noise filter and independent components analysis (ICA) unit. The processed signals are then passed to the support vector machine (SVM) and further processed again by using Genetic Algorithms method. After that the signal are passed to the computer. The computer then group the captured signal to a category. In the future, it will also be possible to measure and group the brain wave signal of a specific disease.
author2 Nobert Michael Mayer
author_facet Nobert Michael Mayer
Cheng-Wei Lin
林政瑋
author Cheng-Wei Lin
林政瑋
spellingShingle Cheng-Wei Lin
林政瑋
Using EEG to Perceive Emotions
author_sort Cheng-Wei Lin
title Using EEG to Perceive Emotions
title_short Using EEG to Perceive Emotions
title_full Using EEG to Perceive Emotions
title_fullStr Using EEG to Perceive Emotions
title_full_unstemmed Using EEG to Perceive Emotions
title_sort using eeg to perceive emotions
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/54743118877225019384
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