{"id":"https://openalex.org/W1547078261","doi":"https://doi.org/10.1109/romoco.2015.7219713","title":"Hand gesture-based interface with multichannel sEMG band enabling unknown gesture discrimination","display_name":"Hand gesture-based interface with multichannel sEMG band enabling unknown gesture discrimination","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1547078261","doi":"https://doi.org/10.1109/romoco.2015.7219713","mag":"1547078261"},"language":"en","primary_location":{"id":"doi:10.1109/romoco.2015.7219713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/romoco.2015.7219713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 10th International Workshop on Robot Motion and Control (RoMoCo)","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/A5050174415","display_name":"Jakub Tomczy\u0144ski","orcid":"https://orcid.org/0000-0001-9958-8323"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Jakub Tomczynski","raw_affiliation_strings":["Faculty of Electrical Engineering, Poznan University of Technology, Pozna\u0144, Poland","Institute of Control and Information Engineering, Faculty of Electrical Engineering, Poznan University of Technology, Pozna\u0144, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Poznan University of Technology, Pozna\u0144, Poland","institution_ids":["https://openalex.org/I46597724"]},{"raw_affiliation_string":"Institute of Control and Information Engineering, Faculty of Electrical Engineering, Poznan University of Technology, Pozna\u0144, Poland","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018570029","display_name":"Piotr Kaczmarek","orcid":"https://orcid.org/0000-0002-0625-3960"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Piotr Kaczmarek","raw_affiliation_strings":["Faculty of Electrical Engineering, Poznan University of Technology, Pozna\u0144, Poland","Institute of Control and Information Engineering, Faculty of Electrical Engineering, Poznan University of Technology, Pozna\u0144, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Poznan University of Technology, Pozna\u0144, Poland","institution_ids":["https://openalex.org/I46597724"]},{"raw_affiliation_string":"Institute of Control and Information Engineering, Faculty of Electrical Engineering, Poznan University of Technology, Pozna\u0144, Poland","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067752947","display_name":"Tomasz Ma\u0144kowski","orcid":"https://orcid.org/0000-0002-5340-2375"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Tomasz Mankowski","raw_affiliation_strings":["Faculty of Electrical Engineering, Poznan University of Technology, Pozna\u0144, Poland","Institute of Control and Information Engineering, Faculty of Electrical Engineering, Poznan University of Technology, Pozna\u0144, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Poznan University of Technology, Pozna\u0144, Poland","institution_ids":["https://openalex.org/I46597724"]},{"raw_affiliation_string":"Institute of Control and Information Engineering, Faculty of Electrical Engineering, Poznan University of Technology, Pozna\u0144, Poland","institution_ids":["https://openalex.org/I46597724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050174415"],"corresponding_institution_ids":["https://openalex.org/I46597724"],"apc_list":null,"apc_paid":null,"fwci":0.7081,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.69707419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998000264167786,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9876999855041504,"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/T10982","display_name":"Motor Control and Adaptation","score":0.9704999923706055,"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/gesture","display_name":"Gesture","score":0.964430570602417},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.7208883762359619},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6807799339294434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6537350416183472},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6047465801239014},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5329051613807678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47971290349960327},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4476361870765686},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32347965240478516},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.15503308176994324}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.964430570602417},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.7208883762359619},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6807799339294434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6537350416183472},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6047465801239014},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5329051613807678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47971290349960327},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4476361870765686},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32347965240478516},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15503308176994324},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/romoco.2015.7219713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/romoco.2015.7219713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 10th International Workshop on Robot Motion and Control (RoMoCo)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6100000143051147,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1986483248","https://openalex.org/W2003998227","https://openalex.org/W2013463953","https://openalex.org/W2046698687","https://openalex.org/W2065327112","https://openalex.org/W2087455143","https://openalex.org/W2106526692","https://openalex.org/W2108184014","https://openalex.org/W2113998107","https://openalex.org/W2119008936","https://openalex.org/W2128756490","https://openalex.org/W2146409459","https://openalex.org/W2152528000","https://openalex.org/W2167582671"],"related_works":["https://openalex.org/W1985112473","https://openalex.org/W2888789309","https://openalex.org/W4205170355","https://openalex.org/W2057046019","https://openalex.org/W2971416272","https://openalex.org/W2807311372","https://openalex.org/W1974238679","https://openalex.org/W2107891793","https://openalex.org/W2234765641","https://openalex.org/W1554778538"],"abstract_inverted_index":{"A":[0],"forearm":[1],"band":[2,11],"consisting":[3],"of":[4,57,90,120,125,129,171],"7":[5],"EMG":[6],"sensors":[7],"was":[8,27,32,66,84,153,157],"developed.":[9],"The":[10,29,40,63,147],"is":[12,165],"dedicated":[13],"to":[14,46,86,133,167],"serve":[15],"as":[16,23],"a":[17,24],"human-machine":[18],"interface":[19,26,164],"and":[20,52,80,92,122,139,144],"its":[21],"applicability":[22],"gesture-based":[25],"presented.":[28],"gesture":[30],"recognition":[31],"performed":[33,67],"by":[34],"ANN":[35],"with":[36],"softmax":[37],"output":[38,43],"function.":[39],"classifier":[41],"uses":[42],"entropy":[44],"function":[45],"discriminate":[47],"between":[48],"known":[49],"command":[50,115,172],"gestures":[51,79,95,116,136,150,173],"unknown":[53,78,94,135,149],"gestures.":[54],"15":[55],"features":[56],"low":[58],"computational":[59],"complexity":[60],"were":[61,75,102,142,184],"selected.":[62],"preliminary":[64,109],"test":[65],"for":[68,114,186],"4":[69],"healthy":[70],"volunteers.":[71],"Continuous":[72],"time":[73],"series":[74],"used,":[76],"including":[77],"transitions.":[81],"Special":[82],"attention":[83],"paid":[85],"analyze":[87],"system":[88,131],"properties":[89],"detecting":[91],"rejecting":[93],"(not":[96],"commands":[97],"movements),":[98],"even":[99,178],"if":[100,179],"they":[101],"not":[103],"included":[104],"in":[105,160],"training":[106],"set.":[107],"Obtained":[108],"results":[110],"show":[111],"the":[112,130,137,163,180],"sensitivity":[113,138],"(including":[117],"transition":[118],"phases)":[119],"97%":[121],"fall":[123,140],"out":[124,141],"1.9%.":[126],"In":[127],"case":[128],"trained":[132],"reject":[134],"82%":[143],"9%,":[145],"respectively.":[146],"calculated":[148],"rejection":[151],"rate":[152],"at":[154],"96%.":[155],"It":[156],"shown":[158],"that":[159],"most":[161],"cases":[162],"robust":[166],"false":[168],"positive":[169],"detection":[170],"while":[174],"performing":[175],"other":[176],"gestures,":[177],"same":[181],"muscles":[182],"groups":[183],"recruited":[185],"movement.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}