{"id":"https://openalex.org/W2773148605","doi":"https://doi.org/10.1109/smc.2017.8123074","title":"A force-driven granular model for EMG based grasp recognition","display_name":"A force-driven granular model for EMG based grasp recognition","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2773148605","doi":"https://doi.org/10.1109/smc.2017.8123074","mag":"2773148605"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2017.8123074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8123074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5103126102","display_name":"Yinfeng Fang","orcid":"https://orcid.org/0000-0001-5794-8925"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yinfeng Fang","raw_affiliation_strings":["Intelligent Systems and Biomedical Robotics Group, University of Portsmouth, Portsmouth, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Systems and Biomedical Robotics Group, University of Portsmouth, Portsmouth, U.K","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045025939","display_name":"Dalin Zhou","orcid":"https://orcid.org/0000-0003-2363-9125"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dalin Zhou","raw_affiliation_strings":["Intelligent Systems and Biomedical Robotics Group, University of Portsmouth, Portsmouth, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Systems and Biomedical Robotics Group, University of Portsmouth, Portsmouth, U.K","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042538910","display_name":"Kairu Li","orcid":"https://orcid.org/0000-0001-5646-7492"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kairu Li","raw_affiliation_strings":["Intelligent Systems and Biomedical Robotics Group, University of Portsmouth, Portsmouth, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Systems and Biomedical Robotics Group, University of Portsmouth, Portsmouth, U.K","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056287221","display_name":"Zhaojie Ju","orcid":"https://orcid.org/0000-0002-9524-7609"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhaojie Ju","raw_affiliation_strings":["Intelligent Systems and Biomedical Robotics Group, University of Portsmouth, Portsmouth, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Systems and Biomedical Robotics Group, University of Portsmouth, Portsmouth, U.K","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085867312","display_name":"Honghai Liu","orcid":"https://orcid.org/0000-0002-2880-4698"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Honghai Liu","raw_affiliation_strings":["Intelligent Systems and Biomedical Robotics Group, University of Portsmouth, Portsmouth, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Systems and Biomedical Robotics Group, University of Portsmouth, Portsmouth, U.K","institution_ids":["https://openalex.org/I63072094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63072094"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"2939","last_page":"2944"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.989799976348877,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/grasp","display_name":"GRASP","score":0.8899198770523071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6831734776496887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5744315981864929},{"id":"https://openalex.org/keywords/granulation","display_name":"Granulation","score":0.47728100419044495},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.46437278389930725},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4437689781188965},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.43595218658447266},{"id":"https://openalex.org/keywords/contact-force","display_name":"Contact force","score":0.42660456895828247},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.41076943278312683},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36887603998184204},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22141414880752563}],"concepts":[{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.8899198770523071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6831734776496887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5744315981864929},{"id":"https://openalex.org/C88463166","wikidata":"https://www.wikidata.org/wiki/Q1543243","display_name":"Granulation","level":2,"score":0.47728100419044495},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.46437278389930725},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4437689781188965},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.43595218658447266},{"id":"https://openalex.org/C81302111","wikidata":"https://www.wikidata.org/wiki/Q2916417","display_name":"Contact force","level":2,"score":0.42660456895828247},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.41076943278312683},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36887603998184204},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22141414880752563},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/smc.2017.8123074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8123074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:researchportal.port.ac.uk:publications/dbace215-8fff-4c9d-8656-9901effff8e1","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/8123074/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401774","display_name":"Portsmouth Research Portal (University of Portsmouth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63072094","host_organization_name":"University of Portsmouth","host_organization_lineage":["https://openalex.org/I63072094"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1560705737","https://openalex.org/W1566420918","https://openalex.org/W1984697170","https://openalex.org/W1989190107","https://openalex.org/W2006741565","https://openalex.org/W2028323735","https://openalex.org/W2047501720","https://openalex.org/W2059429344","https://openalex.org/W2062073991","https://openalex.org/W2066244193","https://openalex.org/W2075568603","https://openalex.org/W2094874751","https://openalex.org/W2095549742","https://openalex.org/W2110119146","https://openalex.org/W2123917016","https://openalex.org/W2149365847","https://openalex.org/W2153676086","https://openalex.org/W2164552042","https://openalex.org/W2171188488","https://openalex.org/W2294767522","https://openalex.org/W6634061534","https://openalex.org/W6682212985"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W2743859443","https://openalex.org/W2326995835","https://openalex.org/W2123804754","https://openalex.org/W165915117","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W1926827207","https://openalex.org/W2133659289"],"abstract_inverted_index":{"It":[0],"is":[1,72,84,118,133,139],"a":[2,24,31,52,81],"challenge":[3,29],"to":[4,17,26,86,121],"precisely":[5],"predict":[6],"hand":[7,40],"grasps":[8,158],"based":[9,70,94],"on":[10,62,95],"EMG":[11,114],"signals":[12],"given":[13],"practical":[14],"scenarios,":[15],"due":[16],"its":[18],"inherent":[19],"nature.":[20],"This":[21],"paper":[22],"proposes":[23],"solution":[25],"tackle":[27],"the":[28,63,88,101,136,141,152],"with":[30,126,144],"force-driven":[32,137],"granular":[33,48],"model":[34],"(FDGM).":[35],"The":[36,92,148],"problem":[37],"of":[38,54,77,90,108,112,129,140,157],"n-class":[39],"grasp":[41,97],"classification":[42,146],"has":[43],"been":[44],"represented":[45],"as":[46],"force-based":[47],"modelling,":[49],"in":[50,106,162],"which":[51],"number":[53,89],"granules":[55],"are":[56],"constructed":[57],"for":[58,74,154],"each":[59,78],"class":[60],"relying":[61],"synchronically":[64],"captured":[65],"grasping":[66],"force.":[67],"A":[68],"rule":[69,138],"mechanism":[71],"formed":[73],"granule":[75],"generation":[76],"class,":[79],"and":[80,117,159],"cross-testing":[82],"algorithm":[83],"proposed":[85,102],"optimise":[87],"granules.":[91],"experiment":[93],"8-case":[96],"recognition":[98,110],"reveals":[99],"that":[100,135],"method":[103],"performs":[104],"better":[105],"terms":[107],"motion":[109],"accuracy":[111],"multiple":[113],"channel":[115],"combination,":[116],"more":[119],"insensitive":[120],"signal":[122],"interferences.":[123],"In":[124],"comparison":[125],"other":[127],"rules":[128],"information":[130],"granulation,":[131],"it":[132],"confirmed":[134],"most":[142],"efficiency":[143],"comparable":[145],"accuracy.":[147],"research":[149],"outcomes":[150],"pave":[151],"way":[153],"real-time":[155],"prediction":[156],"corresponding":[160],"force":[161],"human-centred":[163],"environments.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
