{"id":"https://openalex.org/W1600222493","doi":"https://doi.org/10.1109/aim.2015.7222544","title":"Number-based human mind state inference in human-machine collaborative systems","display_name":"Number-based human mind state inference in human-machine collaborative systems","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1600222493","doi":"https://doi.org/10.1109/aim.2015.7222544","mag":"1600222493"},"language":"en","primary_location":{"id":"doi:10.1109/aim.2015.7222544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim.2015.7222544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102887758","display_name":"Chun Yang","orcid":"https://orcid.org/0000-0002-4020-8370"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"C. Yang","raw_affiliation_strings":["Division of Biomedical Engineering, University of Saskatchewan, Canada"],"affiliations":[{"raw_affiliation_string":"Division of Biomedical Engineering, University of Saskatchewan, Canada","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063169738","display_name":"Yingzi Lin","orcid":"https://orcid.org/0000-0001-7120-4359"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Lin","raw_affiliation_strings":["Department of Mechanical and Industrial Engineering, Northeastern University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, Northeastern University, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425907","display_name":"Haoyu Zhang","orcid":"https://orcid.org/0009-0009-8851-0630"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"H. B. Zhang","raw_affiliation_strings":["East China University of Science and Technology, China","East China University of Science and Technology , China"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"East China University of Science and Technology , China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101764008","display_name":"Hao Lu","orcid":"https://orcid.org/0000-0002-7933-5748"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]},{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"H.Y. Lu","raw_affiliation_strings":["East China University of Science and Technology, China","Division of Biomedical Engineering, University of Saskatchewan, Canada"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"Division of Biomedical Engineering, University of Saskatchewan, Canada","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447801","display_name":"Wenjun Zhang","orcid":"https://orcid.org/0000-0001-7973-8769"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"W.J. Zhang","raw_affiliation_strings":["Division of Biomedical Engineering, University of Saskatchewan, Canada"],"affiliations":[{"raw_affiliation_string":"Division of Biomedical Engineering, University of Saskatchewan, Canada","institution_ids":["https://openalex.org/I32625721"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102887758"],"corresponding_institution_ids":["https://openalex.org/I32625721"],"apc_list":null,"apc_paid":null,"fwci":0.1613,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50477196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"119","issue":null,"first_page":"275","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7070389986038208},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6502224206924438},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5730900764465332},{"id":"https://openalex.org/keywords/human\u2013machine-system","display_name":"Human\u2013machine system","score":0.4564826488494873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4083378314971924},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4068877696990967},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3268287181854248},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10047361254692078}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7070389986038208},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6502224206924438},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5730900764465332},{"id":"https://openalex.org/C146047270","wikidata":"https://www.wikidata.org/wiki/Q469666","display_name":"Human\u2013machine system","level":2,"score":0.4564826488494873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4083378314971924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4068877696990967},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3268287181854248},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10047361254692078}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aim.2015.7222544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim.2015.7222544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W353957520","https://openalex.org/W1595339951","https://openalex.org/W1975264507","https://openalex.org/W1978893767","https://openalex.org/W1996440040","https://openalex.org/W2015327927","https://openalex.org/W2055493013","https://openalex.org/W2071935478","https://openalex.org/W2084397606","https://openalex.org/W2089802066","https://openalex.org/W2110150583","https://openalex.org/W2120945046","https://openalex.org/W2126264453","https://openalex.org/W2136343590","https://openalex.org/W2149186291","https://openalex.org/W2151562475","https://openalex.org/W2163424852","https://openalex.org/W2167652505","https://openalex.org/W6635727863","https://openalex.org/W7047555637"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W4321636575","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W2045526782","https://openalex.org/W2741131631","https://openalex.org/W2156919374","https://openalex.org/W1483472507","https://openalex.org/W1984019423","https://openalex.org/W2961085424"],"abstract_inverted_index":{"In":[0,104,193],"developing":[1],"the":[2,24,51,57,61,129,156,163,176,189,201,206],"human-machine":[3],"technology,":[4],"it":[5,98],"is":[6,18,43,48,93,99,175],"essentially":[7,27],"important":[8],"to":[9,20,44,49,73,77,101,116,128,136,183,187],"infer":[10,188],"human":[11,75,190],"mind":[12,132,191],"state.":[13,192],"A":[14],"machine":[15],"learning":[16],"approach":[17,26,140],"promising":[19],"this":[21,46,105,126,152,173],"need.":[22],"However,":[23],"machine-learning":[25],"requires":[28],"training":[29,33,185],"data,":[30,34],"ideally":[31],"supervised":[32],"which":[35],"may":[36],"not":[37],"be":[38],"readily":[39],"available.":[40],"An":[41],"idea":[42],"overcome":[45],"shortcoming":[47],"take":[50],"so-called":[52],"subjective":[53],"rate":[54,78],"measure.":[55],"Take":[56],"problem":[58,130],"of":[59,121,131,144,158,165,172,178,203],"inferring":[60],"cognitive":[62,159],"fatigue":[63,80,160],"state":[64,81,133],"as":[65,97,114],"an":[66],"example.":[67],"This":[68,92],"means":[69],"that":[70],"we":[71,107,195],"need":[72],"ask":[74],"subjects":[76],"their":[79],"while":[82],"they":[83],"are":[84],"performing":[85],"a":[86,89,109,137,142,197],"task":[87,102,148],"under":[88],"particular":[90],"environment.":[91],"notoriously":[94],"known":[95],"problematic":[96],"intrusive":[100],"performing.":[103],"paper,":[106],"propose":[108],"notion":[110,127],"called":[111],"\u201cnumber-based":[112],"information\u201d":[113,118],"opposed":[115],"\u201cword-based":[117],"in":[119,162,200],"terms":[120],"applications.":[122],"We":[123,150],"then":[124],"apply":[125],"inference,":[134],"leading":[135],"novel":[138],"inference":[139,161,204],"by":[141,154],"combination":[143],"physiological":[145],"signals":[146],"and":[147,180],"performance.":[149],"illustrate":[151],"method":[153],"using":[155],"example":[157],"context":[164],"rehabilitation":[166],"for":[167],"post-stroke":[168],"patients.":[169],"Another":[170],"contribution":[171],"paper":[174],"study":[177],"individual-based":[179,207],"group-based":[181],"strategies":[182],"acquire":[184],"data":[186],"particular,":[194],"show":[196],"significant":[198],"improvement":[199],"accuracy":[202],"with":[205],"strategy.":[208]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}