{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T12:17:47Z","timestamp":1764937067681,"version":"3.37.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030205201"},{"type":"electronic","value":"9783030205218"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-20521-8_35","type":"book-chapter","created":{"date-parts":[[2019,6,4]],"date-time":"2019-06-04T19:02:40Z","timestamp":1559674960000},"page":"418-429","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A VR-Based Hybrid BCI Using SSVEP and Gesture Input"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0966-7517","authenticated-orcid":false,"given":"Roland","family":"Grichnik","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9557-3199","authenticated-orcid":false,"given":"Mihaly","family":"Benda","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6555-7617","authenticated-orcid":false,"given":"Ivan","family":"Volosyak","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,5,16]]},"reference":[{"issue":"2","key":"35_CR1","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1109\/86.847811","volume":"8","author":"JD Bayliss","year":"2000","unstructured":"Bayliss, J.D., Ballard, D.H.: A virtual reality testbed for brain-computer interface research. IEEE Trans. Rehabil. Eng. 8(2), 188\u2013190 (2000)","journal-title":"IEEE Trans. Rehabil. Eng."},{"key":"35_CR2","doi-asserted-by":"publisher","unstructured":"Benda, M., Stawicki, P., Gembler, F., Grichnik, R., Rezeika, A., Saboor, A., Volosyak, I.: Different feedback methods for an SSVEP-based BCI. In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1939\u20131943. IEEE (2018). \n                      https:\/\/doi.org\/10.1109\/EMBC.2018.8512622","DOI":"10.1109\/EMBC.2018.8512622"},{"issue":"6725","key":"35_CR3","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1038\/18581","volume":"398","author":"N Birbaumer","year":"1999","unstructured":"Birbaumer, N., et al.: A spelling device for the paralysed. Nature 398(6725), 297\u2013298 (1999)","journal-title":"Nature"},{"issue":"2","key":"35_CR4","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1109\/TNSRE.2009.2039594","volume":"18","author":"H Cecotti","year":"2010","unstructured":"Cecotti, H.: A self-paced and calibration-less SSVEP-based brain-computer interface speller. IEEE Trans. Neural Syst. Rehabil. Eng. 18(2), 127\u2013133 (2010)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"3\u20134","key":"35_CR5","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1007\/s002210100682","volume":"137","author":"CS Herrmann","year":"2001","unstructured":"Herrmann, C.S.: Human EEG responses to 1\u2013100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena. Exp. Brain Res. 137(3\u20134), 346\u2013353 (2001)","journal-title":"Exp. Brain Res."},{"issue":"1","key":"35_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neulet.2008.11.024","volume":"450","author":"JH Lee","year":"2009","unstructured":"Lee, J.H., Ryu, J., Jolesz, F.A., Cho, Z.H., Yoo, S.S.: Brain-machine interface via real-time fMRI: preliminary study on thought-controlled robotic arm. Neurosci. Lett. 450(1), 1\u20136 (2009)","journal-title":"Neurosci. Lett."},{"issue":"3","key":"35_CR7","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1016\/j.neuroimage.2007.03.019","volume":"36","author":"J Mellinger","year":"2007","unstructured":"Mellinger, J., Schalk, G., Braun, C., Preissl, H., Rosenstiel, W., Birbaumer, N., K\u00fcbler, A.: An MEG-based brain-computer interface (BCI). NeuroImage 36(3), 581\u2013593 (2007)","journal-title":"NeuroImage"},{"key":"35_CR8","doi-asserted-by":"publisher","unstructured":"Rezeika, A., Benda, M., Stawicki, P., Gembler, F., Saboor, A., Volosyak, I.: 30-Targets hybrid BNCI speller based on SSVEP and EMG. In: 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 153\u2013158. IEEE (2018). \n                      https:\/\/doi.org\/10.1109\/SMC.2018.00037","DOI":"10.1109\/SMC.2018.00037"},{"issue":"4","key":"35_CR9","doi-asserted-by":"publisher","first-page":"57","DOI":"10.3390\/brainsci8040057","volume":"8","author":"A Rezeika","year":"2018","unstructured":"Rezeika, A., Benda, M., Stawicki, P., Gembler, F., Saboor, A., Volosyak, I.: Brain-computer interface spellers: a review. Brain Sci. 8(4), 57 (2018)","journal-title":"Brain Sci."},{"issue":"4","key":"35_CR10","doi-asserted-by":"publisher","first-page":"35","DOI":"10.3390\/brainsci7040035","volume":"7","author":"P Stawicki","year":"2017","unstructured":"Stawicki, P., Gembler, F., Rezeika, A., Volosyak, I.: A novel hybrid mental spelling application based on eye tracking and SSVEP-based BCI. Brain Sci. 7(4), 35 (2017)","journal-title":"Brain Sci."},{"key":"35_CR11","unstructured":"Unity Technologies: Unity Game Engine version 2018.2.13f1 (2018). \n                      https:\/\/unity3d.com\/de\/unity"},{"issue":"3","key":"35_CR12","doi-asserted-by":"publisher","first-page":"036020","DOI":"10.1088\/1741-2560\/8\/3\/036020","volume":"8","author":"I Volosyak","year":"2011","unstructured":"Volosyak, I.: SSVEP-based bremen-BCI interface - boosting information transfer rates. J. Neural Eng. 8(3), 036020 (2011)","journal-title":"J. Neural Eng."},{"key":"35_CR13","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.neucom.2016.08.121","volume":"250","author":"I Volosyak","year":"2017","unstructured":"Volosyak, I., Gembler, F., Stawicki, P.: Age-related differences in SSVEP-based BCI performance. Neurocomputing 250, 57\u201364 (2017)","journal-title":"Neurocomputing"},{"key":"35_CR14","doi-asserted-by":"publisher","first-page":"26789","DOI":"10.1109\/ACCESS.2018.2825378","volume":"6","author":"M Wang","year":"2018","unstructured":"Wang, M., Li, R., Zhang, R., Li, G., Zhang, D.: A wearable SSVEP-based BCI system for quadcopter control using head-mounted device. IEEE Access 6, 26789\u201326798 (2018)","journal-title":"IEEE Access"},{"key":"35_CR15","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780195388855.001.0001","volume-title":"Brain-Computer Interfaces: Principles and Practice","author":"J Wolpaw","year":"2012","unstructured":"Wolpaw, J., Wolpaw, E.W.: Brain-Computer Interfaces: Principles and Practice. OUP, Oxford (2012)"}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-20521-8_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,4]],"date-time":"2019-06-04T19:05:43Z","timestamp":1559675143000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20521-8_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030205201","9783030205218"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20521-8_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"16 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Work-Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Gran Canaria","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwann2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iwann.uma.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"210","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"150","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"71% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"2,9","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"2,5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}