{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T01:32:48Z","timestamp":1743125568062,"version":"3.40.3"},"publisher-location":"Cham","reference-count":61,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031202148"},{"type":"electronic","value":"9783031202155"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-20215-5_11","type":"book-chapter","created":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T11:33:37Z","timestamp":1665747217000},"page":"126-143","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["BCI: Technologies and Applications Review and Toolkit Proposal"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2605-9284","authenticated-orcid":false,"given":"T\u00e2nia","family":"Rocha","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9736-7893","authenticated-orcid":false,"given":"Diana","family":"Carvalho","sequence":"additional","affiliation":[]},{"given":"Pedro","family":"Letra","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9818-7090","authenticated-orcid":false,"given":"Ars\u00e9nio","family":"Reis","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4847-5104","authenticated-orcid":false,"given":"Jo\u00e3o","family":"Barroso","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,10,15]]},"reference":[{"key":"11_CR1","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1146\/annurev.bb.02.060173.001105","volume":"2","author":"JJ Vidal","year":"1973","unstructured":"Vidal, J.J.: Toward direct brain-computer communication. Annu. Rev. Biophys. Bioeng. 2, 157\u2013180 (1973)","journal-title":"Annu. Rev. Biophys. Bioeng."},{"key":"11_CR2","doi-asserted-by":"crossref","unstructured":"Nam, C.S., Nijholt, A., Lotte, F.: Brain-Computer Interfaces Handbook: Technological and Theoretical Advances, pp. 1\u20138. CRC Press (2018)","DOI":"10.1201\/9781351231954"},{"key":"11_CR3","unstructured":"European Commission: Future BNCI: A Roadmap for Future Directions in Brain\/Neuronal Computer Interaction (2012). http:\/\/bnci-horizon-2020.eu\/images\/bncih2020\/FBNCI_Roadmap.pdf. Accessed 22 Feb 2021"},{"key":"11_CR4","unstructured":"European Commission: BNCI Horizon 2020. http:\/\/www.bnci-horizon-2020.eu\/about\/basics. Accessed 12 Mar 2021"},{"key":"11_CR5","doi-asserted-by":"crossref","unstructured":"Brunner, C., et al.: BNCI horizon 2020: towards a roadmap for the BCI community. BCI J. 1\u201310 (2015)","DOI":"10.1080\/2326263X.2015.1008956"},{"key":"11_CR6","unstructured":"European Commission: The Future in Brain\/Neural-Computer Interaction: Horizon 2020 (2015). http:\/\/www.bnci-horizon-2020.eu\/images\/bncih2020\/Roadmap_BNCI_Horizon_2020.pdf. Accessed 24 Feb 2021"},{"issue":"1","key":"11_CR7","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1186\/1748-5908-5-69","volume":"5","author":"D Levac","year":"2010","unstructured":"Levac, D., Colquhoun, H., O\u2019Brien, K.K.: Scoping studies: advancing the methodology. Implement. Sci. 5(1), 69 (2010)","journal-title":"Implement. Sci."},{"issue":"6","key":"11_CR8","first-page":"1779","volume":"18","author":"F Wang","year":"2018","unstructured":"Wang, F., Zhang, X., Fu, R., Sun, G.: Study of the home-auxiliary robot based on BCI. Sens. Biosignal Process. 18(6), 1779 (2018)","journal-title":"Sens. Biosignal Process."},{"key":"11_CR9","unstructured":"Frolov, A.A., et al.: Preliminary results of a controlled study of BCI-exoskeleton technology efficacy in patients with poststroke arm paresis. Bull. RSMU (2) (2016)"},{"key":"11_CR10","doi-asserted-by":"crossref","unstructured":"Khan, M.J., Hong, K.-S.: Hybrid EEG-fNIRS-based eight-command decoding for BCI: application to quadcopter control. Front. Neurorob. 11(6) (2017)","DOI":"10.3389\/fnbot.2017.00006"},{"key":"11_CR11","doi-asserted-by":"crossref","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. 4(35) (2017)","DOI":"10.3390\/brainsci7040035"},{"issue":"1","key":"11_CR12","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.rehab.2014.11.002","volume":"58","author":"U Chaudhary","year":"2015","unstructured":"Chaudhary, U., Birbaumer, N., Curado, M.R.: Brain-machine interface (BMI) in paralysis. Ann. Phys. Rehabil. Med. 58(1), 9\u201313 (2015)","journal-title":"Ann. Phys. Rehabil. Med."},{"issue":"B","key":"11_CR13","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1016\/j.neuropsychologia.2015.09.012","volume":"79","author":"LM Alonso-Valerdi","year":"2015","unstructured":"Alonso-Valerdi, L.M., Salido-Ruiz, R.A., Ramirez-Mendoza, R.A.: Motor imagery based brain-computer interfaces: An emerging technology to rehabilitate motor deficits. Neuropsychologia 79(B), 354\u2013363 (2015)","journal-title":"Neuropsychologia"},{"key":"11_CR14","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1007\/978-3-030-16681-6_7","volume-title":"Innovations in Bio-Inspired Computing and Applications. IBICA 2018","author":"C Ghube","year":"2019","unstructured":"Ghube, C., Kulkarni, A., Bankar, C., Bedekar, M.: BMI Application: accident reduction using drowsiness detection. In: Abraham, A., Gandhi, N., Pant, M. (eds.) IBICA 2018. Advances in Intelligent Systems and Computing, vol. 939, pp. 66\u201372. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-16681-6_7"},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Yanagisawa, T., et al.: Induced sensorimotor brain plasticity controls pain in phantom limb patients. Nat. Commun. 7(13209) (2016)","DOI":"10.1038\/ncomms13209"},{"key":"11_CR16","doi-asserted-by":"crossref","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), Miyazaki, Japan (2018)","DOI":"10.1109\/SMC.2018.00037"},{"key":"11_CR17","doi-asserted-by":"crossref","unstructured":"M\u00fcller-Putz, G.R., et al.: Towards non-invasive EEG-based arm\/hand-control in users with spinal cord injury. In: 2017 5th International Winter Conference on Brain-Computer Interface (BCI), Gangwon, Korea (South) (2017)","DOI":"10.1109\/IWW-BCI.2017.7858160"},{"key":"11_CR18","doi-asserted-by":"crossref","unstructured":"Chun, J., Bae, B., Jo, S.: BCI based hybrid interface for 3D object control in virtual reality. In: 2016 4th International Winter Conference on Brain-Computer Interface (BCI), Gangwon, Korea (South) (2016)","DOI":"10.1109\/IWW-BCI.2016.7457461"},{"key":"11_CR19","doi-asserted-by":"crossref","unstructured":"Sp\u00fcler, M.: A brain-computer interface (BCI) system to use arbitrary Windows applications by directly controlling mouse and keyboard. In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy (2015)","DOI":"10.1109\/EMBC.2015.7318554"},{"key":"11_CR20","doi-asserted-by":"crossref","unstructured":"Han, X., Zhang, S., Gao, X.: A study on reducing training time of BCI system based on an SSVEP dynamic model. In: 2019 7th International Winter Conference on Brain-Computer Interface (BCI), Gangwon, Korea (South) (2019)","DOI":"10.1109\/IWW-BCI.2019.8737318"},{"key":"11_CR21","doi-asserted-by":"crossref","unstructured":"Tahir, M.N.: Wireless brain machine interface (BMI) system (review & concept). In: 2020 International Conference on Computing and Information Technology (ICCIT-1441), Tabuk, Saudi Arabia (2020)","DOI":"10.1109\/ICCIT-144147971.2020.9213773"},{"key":"11_CR22","doi-asserted-by":"crossref","unstructured":"Kim, H.-H., Jeong, J.: Representations of directions in EEG-BMI using winner-take-all readouts. In: 2017 5th International Winter Conference on Brain-Computer Interface (BCI), Gangwon, Korea (South) (2017)","DOI":"10.1109\/IWW-BCI.2017.7858178"},{"key":"11_CR23","doi-asserted-by":"crossref","unstructured":"Sarasola-Sanz, A., et al.: A hybrid brain-machine interface based on EEG and EMG activity for the motor rehabilitation of stroke patients. In: 2017 International Conference on Rehabilitation Robotics (ICORR), London, UK (2017)","DOI":"10.1109\/ICORR.2017.8009362"},{"key":"11_CR24","doi-asserted-by":"crossref","unstructured":"Rodriguez, R.J.: Electroencephalogram (EEG) based authentication leveraging visual evoked potentials (VEP) resulting from exposure to emotionally significant images. In: 2016 IEEE Symposium on Technologies for Homeland Security (HST), Waltham, MA, USA (2016)","DOI":"10.1109\/THS.2016.7568908"},{"key":"11_CR25","doi-asserted-by":"crossref","unstructured":"Arpaia, P., Benedetto, E.D., Duraccio, L.: Design, implementation, and metrological characterization of a wearable, integrated AR-BCI hands-free system for health 4.0 monitoring. Measurement 177(109280) (2021)","DOI":"10.1016\/j.measurement.2021.109280"},{"key":"11_CR26","doi-asserted-by":"crossref","unstructured":"Landau, O., Cohen, A., Gordon, S., Nissim, N.: Mind your privacy: privacy leakage through BCI applications using machine learning methods. Knowl.-Based Syst. 198(105932) (2020)","DOI":"10.1016\/j.knosys.2020.105932"},{"key":"11_CR27","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.neuroimage.2019.03.046","volume":"194","author":"M L\u00fchrs","year":"2019","unstructured":"L\u00fchrs, M., et al.: The potential of MR-Encephalography for BCI\/Neurofeedback applications with high temporal resolution. NeuroImage 194, 228\u2013243 (2019)","journal-title":"NeuroImage"},{"key":"11_CR28","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1016\/bs.pbr.2016.04.021","volume":"228","author":"P Aric\u00f2","year":"2016","unstructured":"Aric\u00f2, P., Borghini, G., Flumeri, G.D., Colosimo, A., Pozzi, S., Babiloni, F.: A passive brain-computer interface application for the mental workload assessment on professional air traffic controllers during realistic air traffic control tasks. Prog. Brain Res. 228, 295\u2013328 (2016)","journal-title":"Prog. Brain Res."},{"issue":"20","key":"11_CR29","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1016\/j.ifacol.2015.10.188","volume":"48","author":"M Mazzoleni","year":"2015","unstructured":"Mazzoleni, M., Previdi, F.: A comparison of classification algorithms for brain computer interface in drug craving treatment. IFAC-PapersOnLine 48(20), 487\u2013492 (2015)","journal-title":"IFAC-PapersOnLine"},{"key":"11_CR30","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1016\/j.jneumeth.2017.10.003","volume":"293","author":"A Khalaf","year":"2018","unstructured":"Khalaf, A., Sybeldon, M., Sejdic, E., Akcakaya, M.: A brain-computer interface based on functional transcranial doppler ultrasound using wavelet transform and support vector machines. J. Neurosci. Methods 293, 174\u2013182 (2018)","journal-title":"J. Neurosci. Methods"},{"key":"11_CR31","doi-asserted-by":"publisher","first-page":"1030","DOI":"10.3389\/fnins.2018.01030","volume":"12","author":"G Milsap","year":"2019","unstructured":"Milsap, G., Collard, M., Coogan, C., Crone, N.E.: BCI2000Web and WebFM: browser-based tools for brain computer interfaces and functional brain mapping. Front. Neurosci. 12, 1030 (2019)","journal-title":"Front. Neurosci."},{"key":"11_CR32","doi-asserted-by":"publisher","first-page":"756","DOI":"10.3389\/fnins.2017.00756","volume":"11","author":"D Novak","year":"2018","unstructured":"Novak, D., et al.: Benchmarking brain-computer interfaces outside the laboratory: the Cybathlon 2016. Front. Neurosci. 11, 756 (2018)","journal-title":"Front. Neurosci."},{"key":"11_CR33","doi-asserted-by":"crossref","unstructured":"Medina-Juli\u00e1, M.T., Fern\u00e1ndez-Rodr\u00edguez, \u00c1., Velasco-\u00c1lvarez, F., Ron-Angevin, R.: P300-based brain-computer interface speller: usability evaluation of three speller sizes by severely motor-disabled patients. Front. Hum. Neurosci. 14(583358) (2020)","DOI":"10.3389\/fnhum.2020.583358"},{"key":"11_CR34","doi-asserted-by":"crossref","unstructured":"Liu, J., et al.: EEG-based emotion classification using a deep neural network and sparse autoencoder. Front. Syst. Neurosci. 14(43) (2020)","DOI":"10.3389\/fnsys.2020.00043"},{"key":"11_CR35","doi-asserted-by":"crossref","unstructured":"Matsushita, K., et al.: A fully implantable wireless ECoG 128-channel recording device for human brain-machine interfaces: W-HERBS. Front. Neurosci. 12(511) (2018)","DOI":"10.3389\/fnins.2018.00511"},{"key":"11_CR36","doi-asserted-by":"crossref","unstructured":"L\u00fchmann, A.V., Herff, C., Heger, D., Schultz, T.: Toward a wireless open source instrument: functional near-infrared spectroscopy in mobile neuroergonomics and BCI applications. Front. Hum. Neurosci. 9(617) (2015)","DOI":"10.3389\/fnhum.2015.00617"},{"key":"11_CR37","doi-asserted-by":"crossref","unstructured":"Zhang, J., Wang, B., Zhang, C., Xiao, Y., Wang, M.Y.: An EEG\/EMG\/EOG-based multimodal human-machine interface to real-time control of a soft robot hand. Front. Neurorob. 13(7) (2019)","DOI":"10.3389\/fnbot.2019.00007"},{"key":"11_CR38","unstructured":"https:\/\/scholar.google.com\/. Accessed 26 July 2022"},{"key":"11_CR39","unstructured":"https:\/\/ieeexplore.ieee.org\/Xplore\/home.jsp. Accessed 26 July 2022"},{"key":"11_CR40","unstructured":"https:\/\/www.sciencedirect.com\/. Accessed 26 July 2022"},{"key":"11_CR41","unstructured":"https:\/\/www.frontiersin.org\/. Accessed 26 July 2022"},{"key":"11_CR42","unstructured":"https:\/\/www.bci2000.org. Accessed 26 July 2022"},{"key":"11_CR43","unstructured":"http:\/\/biosig.sourceforge.net\/index.html. Accessed 26 July 2022"},{"key":"11_CR44","unstructured":"http:\/\/www.shifz.org\/brainbay. Accessed 26 July 2022"},{"key":"11_CR45","unstructured":"https:\/\/neuroimage.usc.edu\/brainstorm. Accessed 26 July 2022"},{"key":"11_CR46","unstructured":"https:\/\/sites.google.com\/site\/cartoolcommunity. Accessed 26 July 2022"},{"key":"11_CR47","unstructured":"https:\/\/sccn.ucsd.edu\/eeglab\/index.php. Accessed 26 July 2022"},{"key":"11_CR48","unstructured":"https:\/\/www.fieldtriptoolbox.org. Accessed 26 July 2022"},{"key":"11_CR49","unstructured":"https:\/\/mne.tools\/stable\/index.html. Accessed 26 July 2022"},{"key":"11_CR50","unstructured":"https:\/\/sites.google.com\/view\/fredm\/home. Accessed 26 July 2022"},{"key":"11_CR51","unstructured":"http:\/\/openvibe.inria.fr. Accessed 26 July 2022"},{"key":"11_CR52","unstructured":"https:\/\/www.arduino.cc. Accessed 26 July 2022"},{"key":"11_CR53","unstructured":"https:\/\/blog.arduino.cc\/2011\/01\/07\/arduino-the-documentary-now-online. Accessed 26 July 2022"},{"key":"11_CR54","unstructured":"https:\/\/www.starcat.io\/products\/hackeeg-shield. Accessed 26 July 2022"},{"key":"11_CR55","unstructured":"https:\/\/www.crowdsupply.com\/starcat\/hackeeg. Accessed 26 July 2022"},{"key":"11_CR56","unstructured":"https:\/\/www.pluxbiosignals.com\/collections\/bitalino. Accessed 26 July 2022"},{"key":"11_CR57","unstructured":"https:\/\/www.pluxbiosignals.com\/collections\/opensignals. Accessed 26 July 2022"},{"key":"11_CR58","unstructured":"https:\/\/www.pluxbiosignals.com\/pages\/projects. Accessed 26 July 2022"},{"key":"11_CR59","unstructured":"https:\/\/www.futurebehind.com\/bitalino-pelo-mundo-plux-technologies. Accessed 26 July 2022"},{"key":"11_CR60","unstructured":"https:\/\/tecnico.ulisboa.pt\/pt\/noticias\/bitalino-a-conquista-do-mundo. Accessed 26 July 2022"},{"key":"11_CR61","unstructured":"https:\/\/www.raspberrypi.com\/products. Accessed 26 July 2022"}],"container-title":["Communications in Computer and Information Science","Multimedia Communications, Services and Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-20215-5_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T11:47:11Z","timestamp":1665748031000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-20215-5_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031202148","9783031202155"],"references-count":61,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-20215-5_11","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"15 October 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MCSS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Communications, Services and Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Krak\u00f3w","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mcss-mult2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/mcss2022.kt.agh.edu.pl\/","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 (provided by the conference organizers)"}},{"value":"EquinOCS system","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"39% - 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 (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}