{"id":1703,"date":"2020-11-06T21:20:39","date_gmt":"2020-11-06T21:20:39","guid":{"rendered":"https:\/\/bauet.ac.bd\/?p=1703"},"modified":"2020-11-06T21:20:39","modified_gmt":"2020-11-06T21:20:39","slug":"emotion-recognition-from-eeg-signal-using-convolutional-neural-network","status":"publish","type":"post","link":"https:\/\/bauet.ac.bd\/emotion-recognition-from-eeg-signal-using-convolutional-neural-network\/","title":{"rendered":"Emotion Recognition from EEG signal using Convolutional Neural Network"},"content":{"rendered":"
Electroencephalogram (EEG) that measures the electrical activity of the brain has been used
\nextensively to recognize emotion. Normally feature based emotion recognition requires a strong
\neffort to design the perfect feature or feature set related to the classification of emotion. To curtail
\nthe manual human effort we designed a model by using a virtual image from EEG with
\nConvolutional Neural Network (CNN). Initially, we planned to calculate Pearson\u2019s correlation
\ncoefficients form different sub-bands of EEG to formulate a virtual image. Later, this virtual image
\nwas fed into a CNN architecture to classify emotion. We made two distinct protocols; between
\nthese, protocol-1 was to classify positive and negative emotion and protocol-2 was to classify four
\ndistinct emotions using internationally authorized DEAP dataset. Our proposed method is helpful in
\nrecognizing emotions efficiently.<\/p>\n","protected":false},"excerpt":{"rendered":"Electroencephalogram (EEG) that measures the electrical activity of the brain has been used extensively to recognize emotion. Normally feature based emotion recognition requires a strong effort to design the perfect feature or feature set related to the classification of emotion. To curtail the manual human effort we designed a model by using a virtual image […]","protected":false},"author":1,"featured_media":1704,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-1703","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research"],"yoast_head":"\n