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In this paper, a method based on multiple signal classification (MUSIC) was proposed for multidimensional SSVEP signal processing. Both fundamental and second harmonics of SSVEPs were employed for the final target recognition. The experimental results proved it has the advantage of reducing recognition time. Also, the relation between the duty-cycle of the stimulus signals and the amplitude of the second harmonics of SSVEPs was discussed via experiments. In order to verify the feasibility of proposed methods, a two-layer spelling system was designed. Different subjects including those who have never used BCIs before used the system fluently in an unshielded environment.<\/jats:p>","DOI":"10.1115\/1.4034384","type":"journal-article","created":{"date-parts":[[2016,8,6]],"date-time":"2016-08-06T04:32:14Z","timestamp":1470457934000},"update-policy":"http:\/\/dx.doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":0,"title":["SSVEP Recognition by Using Higher Harmonics Based on Music"],"prefix":"10.1115","volume":"16","author":[{"given":"Kun","family":"Chen","sequence":"first","affiliation":[{"name":"School of Mechanicaland Electronic Engineering,Wuhan University of Technology,Wuhan 430070, China;Key Laboratory of Fiber Optic SensingTechnology and Information Processing,Ministry of Education,Wuhan 430070, Chinae-mail:\u2002kunchen@whut.edu.cn"}]},{"given":"Fei","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Quan","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information Engineering,Wuhan University of Technology,Wuhan 430070, China;Key Laboratory of Fiber Optic SensingTechnologyand Information Processing,Ministry of Education,Wuhan 430070, Chinae-mail:\u2002quanliu@whut.edu.cn"}]},{"given":"Haojie","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information Engineering,Wuhan University of Technology,Wuhan 430070, Chinae-mail:\u2002188264233@qq.com"}]},{"given":"Yang","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Engineering,Wuhan University of Technology,Wuhan 430070, Chinae-mail:\u2002pegasus1615@gmail.com"}]},{"given":"Li","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Information Engineering,Wuhan University of Technology,Wuhan 430070, Chinae-mail:\u20021035303951@qq.com"}]},{"given":"Qingsong","family":"Ai","sequence":"additional","affiliation":[{"name":"School of Information Engineering,Wuhan University of Technology,Wuhan 430070, China;Key Laboratory of Fiber Optic SensingTechnology and Information Processing,Ministry of Education,Wuhan 430070, Chinae-mail:\u2002qingsongai@whut.edu.cn"}]}],"member":"33","published-online":{"date-parts":[[2016,11,7]]},"reference":[{"issue":"2","key":"2021111016410024900_bib1","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1109\/TRE.2000.847807","article-title":"Brain-Computer Interface Technology: A Review of the First International Meeting","volume":"8","year":"2000","journal-title":"IEEE Trans. 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