A Collaborative Brain-Computer Interface for Improving Human Performance
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{"title"=>"A Collaborative Brain-Computer Interface for Improving Human Performance", "type"=>"journal", "authors"=>[{"first_name"=>"Yijun", "last_name"=>"Wang"}, {"first_name"=>"Tzyy-Ping", "last_name"=>"Jung"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"1932-6203", "doi"=>"10.1371/journal.pone.0020422", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "pmid"=>"21655253"}, "id"=>"8edb6a48-6fad-3916-89a7-33acdf676f41", "abstract"=>"Electroencephalogram (EEG) based brain-computer interfaces (BCI) have been studied since the 1970s. Currently, the main focus of BCI research lies on the clinical use, which aims to provide a new communication channel to patients with motor disabilities to improve their quality of life. However, the BCI technology can also be used to improve human performance for normal healthy users. Although this application has been proposed for a long time, little progress has been made in real-world practices due to technical limits of EEG. To overcome the bottleneck of low single-user BCI performance, this study proposes a collaborative paradigm to improve overall BCI performance by integrating information from multiple users. To test the feasibility of a collaborative BCI, this study quantitatively compares the classification accuracies of collaborative and single-user BCI applied to the EEG data collected from 20 subjects in a movement-planning experiment. This study also explores three different methods for fusing and analyzing EEG data from multiple subjects: (1) Event-related potentials (ERP) averaging, (2) Feature concatenating, and (3) Voting. In a demonstration system using the Voting method, the classification accuracy of predicting movement directions (reaching left vs. reaching right) was enhanced substantially from 66% to 80%, 88%, 93%, and 95% as the numbers of subjects increased from 1 to 5, 10, 15, and 20, respectively. Furthermore, the decision of reaching direction could be made around 100-250 ms earlier than the subject's actual motor response by decoding the ERP activities arising mainly from the posterior parietal cortex (PPC), which are related to the processing of visuomotor transmission. Taken together, these results suggest that a collaborative BCI can effectively fuse brain activities of a group of people to improve the overall performance of natural human behavior.", "link"=>"http://www.mendeley.com/research/collaborative-braincomputer-interface-improving-human-performance-1", "reader_count"=>95, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>3, "Librarian"=>1, "Researcher"=>17, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>34, "Student > Postgraduate"=>3, "Student > Master"=>16, "Other"=>3, "Student > Bachelor"=>8, "Lecturer"=>2, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>3, "Librarian"=>1, "Researcher"=>17, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>34, "Student > Postgraduate"=>3, "Student > Master"=>16, "Other"=>3, "Student > Bachelor"=>8, "Lecturer"=>2, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Agricultural and Biological Sciences"=>17, "Arts and Humanities"=>1, "Business, Management and Accounting"=>1, "Chemistry"=>1, "Computer Science"=>25, "Engineering"=>21, "Mathematics"=>1, "Medicine and Dentistry"=>4, "Neuroscience"=>5, "Design"=>1, "Sports and Recreations"=>1, "Physics and Astronomy"=>1, "Psychology"=>8, "Social Sciences"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>4}, "Social Sciences"=>{"Social Sciences"=>2}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>8}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>6}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Design"=>{"Design"=>1}, "Engineering"=>{"Engineering"=>21}, "Chemistry"=>{"Chemistry"=>1}, "Neuroscience"=>{"Neuroscience"=>5}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>17}, "Computer Science"=>{"Computer Science"=>25}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}}, "reader_count_by_country"=>{"Republic of Singapore"=>1, "Sweden"=>1, "United States"=>2, "Japan"=>1, "United Kingdom"=>1, "Bolivia"=>1, "Australia"=>1, "Germany"=>2, "Spain"=>1}, "group_count"=>4}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/769818"], "description"=>"<p>(A) an EEG trial; (B) a behavior trial; (C) visual cues used to indicate effector and direction of a task.</p>", "links"=>[], "tags"=>["sequences", "task-specific"], "article_id"=>440190, "categories"=>["Biological Sciences", "Biotechnology", "Neuroscience"], "users"=>["Yijun Wang", "Tzyy-Ping Jung"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0020422.g004", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Time_sequences_of_cue_presentation_and_task_specific_visual_cues_/440190", "title"=>"Time sequences of cue presentation and task-specific visual cues.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 17:56:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/769502"], "description"=>"<p>System paradigm of a collaborative BCI.</p>", "links"=>[], "tags"=>["paradigm", "collaborative"], "article_id"=>439880, "categories"=>["Biological Sciences", "Biotechnology", "Neuroscience"], "users"=>["Yijun Wang", "Tzyy-Ping Jung"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0020422.g001", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_System_paradigm_of_a_collaborative_BCI_/439880", "title"=>"System paradigm of a collaborative BCI.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 17:54:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/769596"], "description"=>"<p>(A) a centralized paradigm; (B) a distributed paradigm.</p>", "links"=>[], "tags"=>["diagrams", "collaborative"], "article_id"=>439971, "categories"=>["Biological Sciences", "Biotechnology", "Neuroscience"], "users"=>["Yijun Wang", "Tzyy-Ping Jung"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0020422.g002", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_System_diagrams_for_a_collaborative_BCI_/439971", "title"=>"System diagrams for a collaborative BCI.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 17:55:27"}
  • {"files"=>["https://ndownloader.figshare.com/files/770252"], "description"=>"<p>The dash line indicates the mean response time (RT) measured in the behavior experiment (464 ms).</p>", "links"=>[], "tags"=>["numbers", "subjects", "fuction"], "article_id"=>440625, "categories"=>["Biological Sciences", "Biotechnology", "Neuroscience"], "users"=>["Yijun Wang", "Tzyy-Ping Jung"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0020422.g009", "stats"=>{"downloads"=>3, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Classification_accuracy_of_different_numbers_of_subjects_as_a_fuction_of_the_window_length_/440625", "title"=>"Classification accuracy of different numbers of subjects as a fuction of the window length.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 17:59:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/769910"], "description"=>"<p>(A) Grand average 128-channel scalp maps of ERPs and difference waves (<i>left</i>-<i>right</i>) across all subjects at 210 ms and 320 ms. Black dots indicate positions of two selected electrodes near the PPC. (B) Average ERP waveforms across all subjects on two PPC electrodes in <i>left</i>- and <i>right</i>-reaching conditions and their difference. Dash lines mark peaks of difference waves at 210 ms and 320 ms. ERPs at two PPC electrodes show significant differences between <i>left</i> and <i>right</i> conditions using a paired t-test across subjects (left PPC: p<10<sup>−5</sup> at 210 ms and p<10<sup>−6</sup> at 320 ms, right PPC: p<10<sup>−6</sup> at 210 ms and p<10<sup>−4</sup> at 320 ms). The shaded intervals indicate areas where differences between <i>left</i> and <i>right</i> conditions are significant (p<0.05).</p>", "links"=>[], "tags"=>["maps", "temporal", "waveforms", "erp"], "article_id"=>440281, "categories"=>["Biological Sciences", "Biotechnology", "Neuroscience"], "users"=>["Yijun Wang", "Tzyy-Ping Jung"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0020422.g005", "stats"=>{"downloads"=>5, "page_views"=>59, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Scalp_maps_and_temporal_waveforms_of_ERP_signals_/440281", "title"=>"Scalp maps and temporal waveforms of ERP signals.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 17:57:07"}
  • {"files"=>["https://ndownloader.figshare.com/files/769734"], "description"=>"<p>Information flow in a visuomotor control pathway and a BCI control pathway for a motor response.</p>", "links"=>[], "tags"=>["visuomotor", "pathway", "BCI"], "article_id"=>440106, "categories"=>["Biological Sciences", "Biotechnology", "Neuroscience"], "users"=>["Yijun Wang", "Tzyy-Ping Jung"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0020422.g003", "stats"=>{"downloads"=>3, "page_views"=>52, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Information_flow_in_a_visuomotor_control_pathway_and_a_BCI_control_pathway_for_a_motor_response_/440106", "title"=>"Information flow in a visuomotor control pathway and a BCI control pathway for a motor response.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 17:56:10"}
  • {"files"=>["https://ndownloader.figshare.com/files/770113"], "description"=>"<p>Thin solid lines indicate classification results for 20 subjects, and the thick solid line shows the averaged accuracy. The dash line indicates the mean response time (RT) measured in the behavior experiment (464 ms).</p>", "links"=>[], "tags"=>["single-subject", "classification"], "article_id"=>440485, "categories"=>["Biological Sciences", "Biotechnology", "Neuroscience"], "users"=>["Yijun Wang", "Tzyy-Ping Jung"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0020422.g007", "stats"=>{"downloads"=>7, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Time_course_of_single_subject_classification_accuracy_/440485", "title"=>"Time course of single-subject classification accuracy.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 17:58:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/770192"], "description"=>"<p>Solid lines indicate mean accuracy, and dashed lines indicate mean accuracy ± standard deviation.</p>", "links"=>[], "tags"=>["collaborative", "classification", "methods"], "article_id"=>440563, "categories"=>["Biological Sciences", "Biotechnology", "Neuroscience"], "users"=>["Yijun Wang", "Tzyy-Ping Jung"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0020422.g008", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Classification_accuracy_of_different_collaborative_classification_methods_as_a_function_of_the_number_of_subjects_/440563", "title"=>"Classification accuracy of different collaborative classification methods as a function of the number of subjects.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 17:58:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/770001"], "description"=>"<p>Solid lines indicate the reaching <i>left</i> condition, and dash lines indicate the reaching <i>right</i> condition.</p>", "links"=>[], "tags"=>["erps", "electrodes", "placed", "sides", "ppc", "20"], "article_id"=>440370, "categories"=>["Biological Sciences", "Biotechnology", "Neuroscience"], "users"=>["Yijun Wang", "Tzyy-Ping Jung"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0020422.g006", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Grand_average_ERPs_at_electrodes_placed_at_the_left_and_right_sides_of_the_PPC_for_20_subjects_/440370", "title"=>"Grand average ERPs at electrodes placed at the left and right sides of the PPC for 20 subjects.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 17:57:36"}

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Relative Metric

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