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It is needed to find a simple but accurate method to express personal emotions in music creation. In this paper, we propose and implement an EEG signal\u2010driven real\u2010time emotional music generation system for generating exclusive emotional music. To achieve real\u2010time emotion recognition, the proposed system can obtain the model suitable for a newcomer quickly through short\u2010time calibration. And then, both the recognized emotion state and music structure features are fed into the network as the conditional inputs to generate exclusive music which is consistent with the user\u2019s real emotional expression. In the real\u2010time emotion recognition module, we propose an optimized style transfer mapping algorithm based on simplified parameter optimization and introduce the strategy of instance selection into the proposed method. The module can obtain and calibrate a suitable model for a new user in short\u2010time, which achieves the purpose of real\u2010time emotion recognition. The accuracies have been improved to 86.78% and 77.68%, and the computing time is just to 7\u2009s and 10\u2009s on the public SEED and self\u2010collected datasets, respectively. In the music generation module, we propose an emotional music generation network based on structure features and embed it into our system, which breaks the limitation of the existing systems by calling third\u2010party software and realizes the controllability of the consistency of generated music with the actual one in emotional expression. The experimental results show that the proposed system can generate fluent, complete, and exclusive music consistent with the user\u2019s real\u2010time emotion recognition results.<\/jats:p>","DOI":"10.1155\/int\/9618884","type":"journal-article","created":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T12:06:16Z","timestamp":1734955576000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Mind to Music: An EEG Signal\u2010Driven Real\u2010Time Emotional Music Generation System"],"prefix":"10.1155","volume":"2024","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-8754-6236","authenticated-orcid":false,"given":"Shuang","family":"Ran","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9325-6299","authenticated-orcid":false,"given":"Wei","family":"Zhong","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5940-0196","authenticated-orcid":false,"given":"Lin","family":"Ma","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3861-2488","authenticated-orcid":false,"given":"Danting","family":"Duan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3562-5612","authenticated-orcid":false,"given":"Long","family":"Ye","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1597-9157","authenticated-orcid":false,"given":"Qin","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2024,12,23]]},"reference":[{"key":"e_1_2_11_1_2","doi-asserted-by":"publisher","DOI":"10.1097\/01.smj.0000154773.11986.39"},{"key":"e_1_2_11_2_2","doi-asserted-by":"publisher","DOI":"10.1515\/ijdhd.2006.5.2.119"},{"key":"e_1_2_11_3_2","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.bb.02.060173.001105"},{"key":"e_1_2_11_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/0013-4694(91)90040-b"},{"key":"e_1_2_11_5_2","doi-asserted-by":"crossref","unstructured":"HamadicharefB. 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