{"id":"https://openalex.org/W2903183847","doi":"https://doi.org/10.23919/biosig.2018.8553144","title":"Benefits of Gaussian Convolution in Gait Recognition","display_name":"Benefits of Gaussian Convolution in Gait Recognition","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2903183847","doi":"https://doi.org/10.23919/biosig.2018.8553144","mag":"2903183847"},"language":"en","primary_location":{"id":"doi:10.23919/biosig.2018.8553144","is_oa":false,"landing_page_url":"https://doi.org/10.23919/biosig.2018.8553144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference of the Biometrics Special Interest Group (BIOSIG)","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/A5055512639","display_name":"Maria De Marsico","orcid":"https://orcid.org/0000-0002-1391-8502"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Maria De Marsico","raw_affiliation_strings":["Computer Science Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Computer Science Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023861228","display_name":"Alessio Mecca","orcid":"https://orcid.org/0000-0002-1370-8759"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessio Mecca","raw_affiliation_strings":["Computer Science Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Computer Science Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055512639"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":0.1114,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.47752303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","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/T12740","display_name":"Gait Recognition and Analysis","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983000159263611,"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":0.9908999800682068,"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":0.7619178891181946},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7600158452987671},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.7008544206619263},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6808670163154602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6519683599472046},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5793399810791016},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.5617706179618835},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5583925843238831},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5116903781890869},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4740414619445801},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45490747690200806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1191166341304779},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0960797667503357},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.059600770473480225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7619178891181946},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7600158452987671},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7008544206619263},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6808670163154602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6519683599472046},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5793399810791016},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.5617706179618835},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5583925843238831},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5116903781890869},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4740414619445801},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45490747690200806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1191166341304779},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0960797667503357},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.059600770473480225},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/biosig.2018.8553144","is_oa":false,"landing_page_url":"https://doi.org/10.23919/biosig.2018.8553144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference of the Biometrics Special Interest Group (BIOSIG)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1177610","is_oa":false,"landing_page_url":"http://hdl.handle.net/11573/1177610","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W418709959","https://openalex.org/W1502608935","https://openalex.org/W1964814818","https://openalex.org/W1969042787","https://openalex.org/W1973300387","https://openalex.org/W1986553199","https://openalex.org/W2018157642","https://openalex.org/W2018696390","https://openalex.org/W2051071129","https://openalex.org/W2062273853","https://openalex.org/W2091951046","https://openalex.org/W2097546075","https://openalex.org/W2137604415","https://openalex.org/W2143813892","https://openalex.org/W2151103935","https://openalex.org/W2171062881","https://openalex.org/W2171920515","https://openalex.org/W2409587536","https://openalex.org/W2468234071","https://openalex.org/W2553439938","https://openalex.org/W2573967255","https://openalex.org/W2577196995","https://openalex.org/W2750837986","https://openalex.org/W2786638837","https://openalex.org/W6641260978","https://openalex.org/W6672139100","https://openalex.org/W6714453296"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2566526749","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W4312415459","https://openalex.org/W2528680939"],"abstract_inverted_index":{"The":[0,26,106],"first":[1],"and":[2,48,75,114],"still":[3],"popular":[4],"approach":[5],"to":[6,13,78,84,101],"gait":[7,104],"recognition":[8],"applies":[9],"computer":[10],"vision":[11],"techniques":[12,40],"appearance-based":[14],"features":[15],"of":[16,50],"walking":[17,58,73],"patterns.":[18],"More":[19],"recently,":[20],"wearable":[21],"sensors":[22],"have":[23],"become":[24],"attractive.":[25],"accelerometer":[27],"is":[28],"the":[29,72,96,109,123],"most":[30],"used":[31],"one,":[32],"being":[33],"embedded":[34],"in":[35],"widespread":[36],"mobile":[37],"devices.":[38],"Related":[39],"do":[41],"not":[42],"suffer":[43],"for":[44,53,80],"problems":[45],"like":[46],"occlusion":[47],"point":[49],"view,":[51],"but":[52],"intra-subject":[54],"variations":[55],"caused":[56],"by":[57],"speed,":[59],"ground":[60],"type,":[61],"shoes,":[62],"etc.":[63],"However,":[64],"we":[65],"can":[66],"often":[67],"recognize":[68],"a":[69],"person":[70],"from":[71],"pattern,":[74],"this":[76,87],"stimulates":[77],"search":[79],"robust":[81],"features,":[82],"able":[83],"sufficiently":[85],"characterize":[86],"trait.":[88],"This":[89],"paper":[90],"presents":[91],"some":[92],"preliminary":[93],"experiments":[94,107],"using":[95],"convolution":[97],"with":[98,119],"Gaussian":[99],"kernels":[100],"extract":[102],"relevant":[103],"elements.":[105],"use":[108],"large":[110],"ZJU-gaitacc":[111],"public":[112],"dataset,":[113],"achieve":[115],"improved":[116],"results":[117],"compared":[118],"previous":[120],"works":[121],"exploiting":[122],"same":[124],"dataset.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
