{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T06:29:25Z","timestamp":1720592965424},"reference-count":0,"publisher":"Association for the Advancement of Artificial Intelligence (AAAI)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AAAI"],"abstract":"\n \n Multimodality has been recently exploited to overcome the challenges of emotion recognition. In this paper, we present a study of fusion of electroencephalogram (EEG) features and musical features extracted from musical stimuli at decision level in recognizing the time-varying binary classes of arousal and valence. Our empirical results demonstrate that EEG modality was suffered from the non-stability of EEG signals, yet fusing with music modality could alleviate the issue and enhance the performance of emotion recognition.\n \n <\/jats:p>","DOI":"10.1609\/aaai.v31i1.11112","type":"journal-article","created":{"date-parts":[[2022,6,24]],"date-time":"2022-06-24T17:24:35Z","timestamp":1656091475000},"source":"Crossref","is-referenced-by-count":9,"title":["Multimodal Fusion of EEG and Musical Features in Music-Emotion Recognition"],"prefix":"10.1609","volume":"31","author":[{"given":"Nattapong","family":"Thammasan","sequence":"first","affiliation":[]},{"given":"Ken-ichi","family":"Fukui","sequence":"additional","affiliation":[]},{"given":"Masayuki","family":"Numao","sequence":"additional","affiliation":[]}],"member":"9382","published-online":{"date-parts":[[2017,2,12]]},"container-title":["Proceedings of the AAAI Conference on Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/download\/11112\/10971","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/download\/11112\/10971","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,24]],"date-time":"2022-06-24T17:24:35Z","timestamp":1656091475000},"score":1,"resource":{"primary":{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/11112"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,2,12]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2017,2,11]]}},"URL":"http:\/\/dx.doi.org\/10.1609\/aaai.v31i1.11112","relation":{},"ISSN":["2374-3468","2159-5399"],"issn-type":[{"value":"2374-3468","type":"electronic"},{"value":"2159-5399","type":"print"}],"subject":[],"published":{"date-parts":[[2017,2,12]]}}}
