Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/27775Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zerafa, Rosanne | - |
| dc.contributor.author | Camilleri, Tracey A. | - |
| dc.contributor.author | Falzon, Owen | - |
| dc.contributor.author | Camilleri, Kenneth P. | - |
| dc.date.accessioned | 2018-03-07T10:50:05Z | - |
| dc.date.available | 2018-03-07T10:50:05Z | - |
| dc.date.issued | 2016-03 | - |
| dc.identifier.citation | Zerafa, R., Camilleri, T., Falzon, O., & Camilleri, K. P. (2016). A real-time SSVEP-based brain-computer interface music player application. 14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016. 173-178. | en_GB |
| dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/27775 | - |
| dc.description.abstract | A real-time Brain-Computer Interface (BCI) music player based on steady-state visually evoked potentials (SSVEPs) is presented. This asynchronous BCI can distinguish up to six simultaneously occurring stimuli in addition to idle states during which the user does not want to execute a command. Distinguishing between an intended and non-intended control signal is an essential element for the seamless integration of BCIs with other user activities. The user-friendly design of the music player is based on typical smart phone applications integrated with flickering stimuli that evoke SSVEPs. In addition, the BCI requires only one bipolar EEG channel thus having an easy and quick setup time. The tests conducted by five subjects resulted in a mean kappa coefficient of 0.87 using the asynchronous BCI. This high performance demonstrates the potential of using the system as an assistive application for people suffering from motor impairments and even as an entertainment application for healthy users. | en_GB |
| dc.language.iso | en | en_GB |
| dc.publisher | Springer Verlag | en_GB |
| dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
| dc.subject | Brain-computer interfaces | en_GB |
| dc.subject | Digital music players | en_GB |
| dc.title | A real-time SSVEP-based brain-computer interface music player application | en_GB |
| dc.type | conferenceObject | en_GB |
| dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
| dc.bibliographicCitation.conferencename | 14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016 | en_GB |
| dc.bibliographicCitation.conferenceplace | Paphos, Cyprus, 31/03-2/04/2016 | en_GB |
| dc.description.reviewed | peer-reviewed | en_GB |
| dc.identifier.doi | 10.1007/978-3-319-32703-7_36 | - |
| Appears in Collections: | Scholarly Works - CenBC Scholarly Works - FacEngSCE | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| medicon2016_paper_101 (1).pdf Restricted Access | 869.68 kB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.