{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T16:20:44Z","timestamp":1781194844180,"version":"3.54.1"},"reference-count":31,"publisher":"Wiley","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002412","name":"Xi\u2019an Jiaotong University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002412","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008049","name":"Xi\u2019an Polytechnic University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>We present a methodology for a hybrid brain-computer interface (BCI) system, with the recognition of motor imagery (MI) based on EEG and blink EOG signals. We tested the BCI system in a 3D Tetris and an analogous 2D game playing environment. To enhance player\u2019s BCI control ability, the study focused on feature extraction from EEG and control strategy supporting Game-BCI system operation. We compared the numerical differences between spatial features extracted with common spatial pattern (CSP) and the proposed multifeature extraction. To demonstrate the effectiveness of 3D game environment at enhancing player\u2019s event-related desynchronization (ERD) and event-related synchronization (ERS) production ability, we set the 2D Screen Game as the comparison experiment. According to a series of statistical results, the group performing MI in the 3D Tetris environment showed more significant improvements in generating MI-associated ERD\/ERS. Analysis results of game-score indicated that the players\u2019 scores presented an obvious uptrend in 3D Tetris environment but did not show an obvious downward trend in 2D Screen Game. It suggested that the immersive and rich-control environment for MI would improve the associated mental imagery and enhance MI-based BCI skills.<\/jats:p>","DOI":"10.1155\/2017\/5863512","type":"journal-article","created":{"date-parts":[[2017,5,9]],"date-time":"2017-05-09T17:02:41Z","timestamp":1494349361000},"page":"1-16","source":"Crossref","is-referenced-by-count":12,"title":["Development of a Novel Motor Imagery Control Technique and Application in a Gaming Environment"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5538-7650","authenticated-orcid":true,"given":"Ting","family":"Li","sequence":"first","affiliation":[{"name":"School of Computer Science, Xi\u2019an Polytechnic University, Xi\u2019an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1178-2058","authenticated-orcid":true,"given":"Jinhua","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory for 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