{"id":"https://openalex.org/W3014030906","doi":"https://doi.org/10.1109/rcar47638.2019.9043937","title":"Real-Time Reliable Classification of Hand Gesture Using Support Vector Machine","display_name":"Real-Time Reliable Classification of Hand Gesture Using Support Vector Machine","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W3014030906","doi":"https://doi.org/10.1109/rcar47638.2019.9043937","mag":"3014030906"},"language":"en","primary_location":{"id":"doi:10.1109/rcar47638.2019.9043937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar47638.2019.9043937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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/A5013305139","display_name":"Haibin Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibin Zeng","raw_affiliation_strings":["Department of Biomedical Engineering, Laboratory of Motor Control and Rehabilitation, School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Laboratory of Motor Control and Rehabilitation, School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100343520","display_name":"Ke Li","orcid":"https://orcid.org/0000-0002-8660-0116"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Li","raw_affiliation_strings":["Department of Biomedical Engineering, Laboratory of Motor Control and Rehabilitation, School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Laboratory of Motor Control and Rehabilitation, School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154099455"],"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":"209","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998999834060669,"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":0.9998999834060669,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9890000224113464,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.9297431111335754},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.753972053527832},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7487984895706177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7399455308914185},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6617094278335571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.61532062292099},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5719512701034546},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5191692113876343},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4591898024082184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43979787826538086},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39453989267349243},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.08781573176383972}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.9297431111335754},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.753972053527832},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7487984895706177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7399455308914185},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6617094278335571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.61532062292099},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5719512701034546},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5191692113876343},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4591898024082184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43979787826538086},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39453989267349243},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.08781573176383972},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar47638.2019.9043937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar47638.2019.9043937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1999841745","https://openalex.org/W2030145632","https://openalex.org/W2333529830","https://openalex.org/W2342969844","https://openalex.org/W2410813394","https://openalex.org/W2466222407","https://openalex.org/W2528898682","https://openalex.org/W2781712065"],"related_works":["https://openalex.org/W2066003895","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,66],"system":[4],"for":[5,108],"real-time":[6,74,94,118],"classification":[7,75],"of":[8,29,52,86,126],"hand":[9,22,38,54],"gestures":[10],"through":[11],"surface":[12],"eclectromyographic":[13],"signals.":[14],"Support":[15],"vector":[16],"machine":[17],"was":[18,43],"applied":[19,44],"to":[20,35,45,103],"identify":[21],"gesture":[23,109,119],"intention":[24],"based":[25],"on":[26],"extracted":[27],"features":[28],"six":[30],"muscles":[31],"and":[32,49,121],"discriminate":[33],"up":[34],"10":[36],"different":[37],"gestures.":[39,55,72],"Absolute":[40],"Teager-Kaiser":[41],"Energy":[42],"detect":[46],"the":[47,53,60,87,93,98,124],"onsets":[48],"terminal":[50],"points":[51],"The":[56,73,111],"results":[57],"showed":[58,114],"that":[59],"classifier":[61],"with":[62],"this":[63],"algorithm":[64],"has":[65],"good":[67],"performance":[68,76,116],"in":[69,117],"discriminating":[70],"most":[71],"differed":[77],"between":[78],"subjects.":[79],"In":[80],"addition,":[81],"removing":[82],"peak":[83],"values":[84],"out":[85],"raw":[88],"signals":[89],"could":[90],"further":[91],"improve":[92,123],"classifying":[95],"reliability,":[96],"though":[97],"time":[99,106],"consumption":[100],"increased,":[101],"leading":[102],"an":[104],"increased":[105],"delay":[107],"classification.":[110],"proposed":[112],"classifiers":[113],"better":[115],"classification,":[120],"would":[122],"reliability":[125],"controlling":[127],"wearable":[128],"robotic":[129],"hand.":[130]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}