{"id":"https://openalex.org/W2944768984","doi":"https://doi.org/10.1109/sas.2019.8706020","title":"A jaw based human-machine interface with machine learning","display_name":"A jaw based human-machine interface with machine learning","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2944768984","doi":"https://doi.org/10.1109/sas.2019.8706020","mag":"2944768984"},"language":"en","primary_location":{"id":"doi:10.1109/sas.2019.8706020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sas.2019.8706020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Sensors Applications Symposium (SAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5016581208","display_name":"Tobias Busch","orcid":"https://orcid.org/0000-0002-8390-7892"},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Busch","raw_affiliation_strings":["Dept. of Embedded Systems and Sensors Engineering (ESS), Research Center of Information Technology (FZI), Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Embedded Systems and Sensors Engineering (ESS), Research Center of Information Technology (FZI), Karlsruhe, Germany","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023909413","display_name":"Jennifer Zeilfelder","orcid":null},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jennifer Zeilfelder","raw_affiliation_strings":["Dept. of Embedded Systems and Sensors Engineering (ESS), Research Center of Information Technology (FZI), Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Embedded Systems and Sensors Engineering (ESS), Research Center of Information Technology (FZI), Karlsruhe, Germany","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101640344","display_name":"Kai Zhou","orcid":"https://orcid.org/0000-0001-9859-1758"},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kai Zhou","raw_affiliation_strings":["Dept. of Embedded Systems and Sensors Engineering (ESS), Research Center of Information Technology (FZI), Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Embedded Systems and Sensors Engineering (ESS), Research Center of Information Technology (FZI), Karlsruhe, Germany","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067846212","display_name":"Wilhelm Stork","orcid":"https://orcid.org/0000-0003-0579-4615"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wilhelm Stork","raw_affiliation_strings":["Institute of Information Processing Technologies (ITIV), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Processing Technologies (ITIV), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9987000226974487,"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":0.9987000226974487,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8060729503631592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.774739146232605},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7451972365379333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7365131378173828},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6276889443397522},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.622978687286377},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46752333641052246}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8060729503631592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.774739146232605},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7451972365379333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7365131378173828},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6276889443397522},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.622978687286377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46752333641052246}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sas.2019.8706020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sas.2019.8706020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Sensors Applications Symposium (SAS)","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":8,"referenced_works":["https://openalex.org/W1980199149","https://openalex.org/W2084550115","https://openalex.org/W2115105887","https://openalex.org/W2313627156","https://openalex.org/W2485711472","https://openalex.org/W2503850085","https://openalex.org/W2796901263","https://openalex.org/W2996489182"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2394466068","https://openalex.org/W1987683558","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1989494794","https://openalex.org/W2122031327","https://openalex.org/W1184238669","https://openalex.org/W3032901101"],"abstract_inverted_index":{"For":[0,65],"a":[1,21,27,50,68,84,126,163,167],"successful":[2,136],"classification":[3,161,175],"of":[4,42,56,125,140,174,182],"jaw":[5,44,144,159],"movement":[6,145,160],"signals":[7],"three":[8,80],"different":[9],"machine":[10,156],"learning":[11,81,157],"methods":[12,82],"are":[13],"implemented":[14],"and":[15,26,46,138,180],"evaluated:":[16],"A":[17],"Naive":[18],"Bayes":[19,89],"classifier,":[20],"Support":[22],"Vector":[23],"Machine":[24],"(SVM)":[25],"Convolutional":[28],"Neuronal":[29],"Network":[30],"(CNN).":[31],"In":[32,149],"this":[33,66,132],"case":[34],"the":[35,40,60,93,100,108,111,123,172,178,183],"present":[36],"paper":[37,133],"deals":[38],"with":[39,70,92,97,104,166,177],"definition":[41],"intuitive":[43],"movements":[45],"their":[47],"detection":[48,102,137],"by":[49],"prototypical":[51],"system":[52],"for":[53,158],"non-invasive":[54],"measurement":[55],"pressure":[57,116],"values":[58],"in":[59],"closed":[61],"external":[62],"auditory":[63],"canal.":[64],"purpose,":[67],"database":[69,128],"1013":[71],"recordings":[72],"was":[73],"created.":[74],"The":[75,88],"evaluation":[76],"shows":[77,113],"that":[78,114,135],"all":[79],"provide":[83],"good":[85],"recognition":[86,169],"level.":[87,170],"classifier":[90],"achieves":[91],"used,":[94],"small":[95],"dataset":[96],"nearly":[98],"95%":[99],"best":[101],"probability":[103],"realtime":[105],"data.":[106],"At":[107],"same":[109],"time,":[110],"study":[112],"individual":[115],"profiles":[117],"can":[118],"severely":[119],"impair":[120],"recognition.":[121],"Hence,":[122],"creation":[124],"comprehensive":[127],"is":[129,147,162],"required.":[130],"Overall,":[131],"demonstrates":[134],"differentiation":[139],"up":[141],"to":[142],"five":[143],"directions":[146],"possible.":[148],"total":[150],"it":[151],"could":[152],"be":[153],"shown":[154],"using":[155],"stable":[164],"method":[165],"high":[168],"However,":[171],"quality":[173],"increases":[176],"size":[179],"diversity":[181],"dataset.":[184]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}