{"id":"https://openalex.org/W3108100144","doi":"https://doi.org/10.1109/codit49905.2020.9263883","title":"A motion recognition algorithm using polytopic modeling","display_name":"A motion recognition algorithm using polytopic modeling","publication_year":2020,"publication_date":"2020-06-29","ids":{"openalex":"https://openalex.org/W3108100144","doi":"https://doi.org/10.1109/codit49905.2020.9263883","mag":"3108100144"},"language":"en","primary_location":{"id":"doi:10.1109/codit49905.2020.9263883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit49905.2020.9263883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5055434683","display_name":"Pierre Moreau","orcid":"https://orcid.org/0000-0003-3916-1250"},"institutions":[{"id":"https://openalex.org/I4647051","display_name":"Universit\u00e9 de Picardie Jules Verne","ror":"https://ror.org/01gyxrk03","country_code":"FR","type":"education","lineage":["https://openalex.org/I4647051"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Pierre Moreau","raw_affiliation_strings":["Modeling, Information and Systems (MIS) Laboratory, University of Picardie Jules Verne, Amiens, France","MIS - Mod\u00e9lisation, Information et Syst\u00e8mes - UR UPJV 4290 (Universit\u00e9 de Picardie Jules Verne - UFR des Sciences - 33, rue Saint Leu - \r\n80039 AMIENS CEDEX 1 - France)"],"affiliations":[{"raw_affiliation_string":"Modeling, Information and Systems (MIS) Laboratory, University of Picardie Jules Verne, Amiens, France","institution_ids":["https://openalex.org/I4647051"]},{"raw_affiliation_string":"MIS - Mod\u00e9lisation, Information et Syst\u00e8mes - UR UPJV 4290 (Universit\u00e9 de Picardie Jules Verne - UFR des Sciences - 33, rue Saint Leu - \r\n80039 AMIENS CEDEX 1 - France)","institution_ids":["https://openalex.org/I4647051"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040205560","display_name":"David Durand","orcid":"https://orcid.org/0000-0001-8086-8886"},"institutions":[{"id":"https://openalex.org/I4647051","display_name":"Universit\u00e9 de Picardie Jules Verne","ror":"https://ror.org/01gyxrk03","country_code":"FR","type":"education","lineage":["https://openalex.org/I4647051"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"David Durand","raw_affiliation_strings":["Modeling, Information and Systems (MIS) Laboratory, University of Picardie Jules Verne, Amiens, France","MIS - Mod\u00e9lisation, Information et Syst\u00e8mes - UR UPJV 4290 (Universit\u00e9 de Picardie Jules Verne - UFR des Sciences - 33, rue Saint Leu - \r\n80039 AMIENS CEDEX 1 - France)"],"affiliations":[{"raw_affiliation_string":"Modeling, Information and Systems (MIS) Laboratory, University of Picardie Jules Verne, Amiens, France","institution_ids":["https://openalex.org/I4647051"]},{"raw_affiliation_string":"MIS - Mod\u00e9lisation, Information et Syst\u00e8mes - UR UPJV 4290 (Universit\u00e9 de Picardie Jules Verne - UFR des Sciences - 33, rue Saint Leu - \r\n80039 AMIENS CEDEX 1 - France)","institution_ids":["https://openalex.org/I4647051"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025780251","display_name":"J\u00e9r\u00f4me Bosche","orcid":"https://orcid.org/0000-0001-7894-5563"},"institutions":[{"id":"https://openalex.org/I4647051","display_name":"Universit\u00e9 de Picardie Jules Verne","ror":"https://ror.org/01gyxrk03","country_code":"FR","type":"education","lineage":["https://openalex.org/I4647051"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jerome Bosche","raw_affiliation_strings":["Modeling, Information and Systems (MIS) Laboratory, University of Picardie Jules Verne, Amiens, France","MIS - Mod\u00e9lisation, Information et Syst\u00e8mes - UR UPJV 4290 (Universit\u00e9 de Picardie Jules Verne - UFR des Sciences - 33, rue Saint Leu - \r\n80039 AMIENS CEDEX 1 - France)"],"affiliations":[{"raw_affiliation_string":"Modeling, Information and Systems (MIS) Laboratory, University of Picardie Jules Verne, Amiens, France","institution_ids":["https://openalex.org/I4647051"]},{"raw_affiliation_string":"MIS - Mod\u00e9lisation, Information et Syst\u00e8mes - UR UPJV 4290 (Universit\u00e9 de Picardie Jules Verne - UFR des Sciences - 33, rue Saint Leu - \r\n80039 AMIENS CEDEX 1 - France)","institution_ids":["https://openalex.org/I4647051"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103174850","display_name":"Michel Lefranc","orcid":"https://orcid.org/0000-0002-2438-2977"},"institutions":[{"id":"https://openalex.org/I4210096553","display_name":"Centre Hospitalier Universitaire Amiens-Picardie","ror":"https://ror.org/010567a58","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210096553"]},{"id":"https://openalex.org/I4401200269","display_name":"Chirurgie et extr\u00e9mit\u00e9 c\u00e9phalique, caract\u00e9risation morphologique et fonctionnelle","ror":"https://ror.org/012h8gy04","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4401200269","https://openalex.org/I4647051"]},{"id":"https://openalex.org/I4647051","display_name":"Universit\u00e9 de Picardie Jules Verne","ror":"https://ror.org/01gyxrk03","country_code":"FR","type":"education","lineage":["https://openalex.org/I4647051"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Michel Lefranc","raw_affiliation_strings":["Neurosurgery department of University Hospital Center, Amiens-Picardie, France","CHIMERE - CHirurgie, IMagerie et REg\u00e9n\u00e9ration tissulaire de l\u2019extr\u00e9mit\u00e9 c\u00e9phalique - Caract\u00e9risation morphologique et fonctionnelle - UR UPJV 7516 (Universit\u00e9 de Picardie Jules Verne - CURS - CHU Sud avenue La\u00ebnnec - 80054 AMIENS CEDEX1 - France)"],"affiliations":[{"raw_affiliation_string":"Neurosurgery department of University Hospital Center, Amiens-Picardie, France","institution_ids":["https://openalex.org/I4210096553"]},{"raw_affiliation_string":"CHIMERE - CHirurgie, IMagerie et REg\u00e9n\u00e9ration tissulaire de l\u2019extr\u00e9mit\u00e9 c\u00e9phalique - Caract\u00e9risation morphologique et fonctionnelle - UR UPJV 7516 (Universit\u00e9 de Picardie Jules Verne - CURS - CHU Sud avenue La\u00ebnnec - 80054 AMIENS CEDEX1 - France)","institution_ids":["https://openalex.org/I4401200269","https://openalex.org/I4647051"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055434683"],"corresponding_institution_ids":["https://openalex.org/I4647051"],"apc_list":null,"apc_paid":null,"fwci":0.2931,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57891376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"42","issue":null,"first_page":"679","last_page":"686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9957000017166138,"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":0.7419772148132324},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.712636411190033},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6709265112876892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6253987550735474},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.6102055311203003},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.52703458070755},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5249567031860352},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5085355043411255},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.49606117606163025},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4843538999557495},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4416621923446655},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4340035021305084},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.4334176778793335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33621227741241455},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13192453980445862},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11530154943466187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09648790955543518}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419772148132324},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.712636411190033},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6709265112876892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6253987550735474},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.6102055311203003},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.52703458070755},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5249567031860352},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5085355043411255},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.49606117606163025},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4843538999557495},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4416621923446655},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4340035021305084},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.4334176778793335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33621227741241455},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13192453980445862},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11530154943466187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09648790955543518},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/codit49905.2020.9263883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit49905.2020.9263883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03060485v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03060485","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT), Jun 2020, Prague, France. pp.679-686, &#x27E8;10.1109/CoDIT49905.2020.9263883&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5400000214576721,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2012964815","https://openalex.org/W2040443148","https://openalex.org/W2048821851","https://openalex.org/W2052648922","https://openalex.org/W2073212499","https://openalex.org/W2073514351","https://openalex.org/W2097117768","https://openalex.org/W2098789322","https://openalex.org/W2126401818","https://openalex.org/W2144380653","https://openalex.org/W2145546283","https://openalex.org/W2149645715","https://openalex.org/W2475271590","https://openalex.org/W2593165062","https://openalex.org/W2739915297","https://openalex.org/W2913362834","https://openalex.org/W6663667838","https://openalex.org/W6721026953","https://openalex.org/W6733933127"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W4293226380","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W1991002629"],"abstract_inverted_index":{"People's":[0],"movements":[1,43,152],"say":[2],"a":[3],"lot":[4],"about":[5],"their":[6],"activities.":[7],"Whether":[8],"it":[9],"concerns":[10],"sports,":[11],"music":[12],"(playing":[13],"an":[14],"instrument),":[15],"at":[16],"work,":[17,74],"in":[18,44,82,91,114],"re-education,":[19],"each":[20],"domain":[21],"has":[22],"its":[23],"own":[24],"specific":[25],"moves.":[26],"However,":[27],"some":[28],"of":[29,69,97,124],"it,":[30],"such":[31,103],"as":[32,104],"sports":[33],"competition,":[34],"need":[35],"high-precision":[36],"movements.":[37,138],"Tools":[38],"are":[39,49,118],"available":[40],"to":[41,62,84,89,132,144,149],"measure":[42],"all":[45],"sectors.":[46],"First,":[47,127],"sensors":[48,134],"placed":[50],"on":[51,55,154],"different":[52,92],"strategic":[53],"points":[54],"the":[56,67,70,86,129,146,155],"person's":[57],"body":[58,68],"that":[59],"allow":[60],"us":[61],"retrieve":[63],"temporal":[64],"data":[65],"from":[66],"user.":[71],"In":[72],"this":[73],"no":[75],"camera":[76],"is":[77],"used":[78],"for":[79,100],"motion":[80],"recognition":[81,102],"order":[83],"let":[85],"user":[87],"free":[88],"go":[90],"spaces.":[93],"A":[94],"considerable":[95],"number":[96],"algorithms":[98],"help":[99],"movement":[101],"deep":[105],"learning,":[106],"convolutional":[107],"neural":[108],"networks":[109],"or":[110],"dynamic":[111],"modelling,":[112],"but":[113],"most":[115],"cases,":[116],"cameras":[117],"used.":[119],"So,":[120],"our":[121],"approach":[122],"consists":[123],"two":[125],"phases.":[126],"model":[128,145],"users":[130],"thanks":[131],"whole-body":[133],"and":[135],"save":[136],"characteristic":[137,151],"Second,":[139],"we":[140],"still":[141],"use":[142],"sensors,":[143],"test":[147],"person":[148],"find":[150],"depending":[153],"activity.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
