{"id":"https://openalex.org/W6949472738","doi":"https://doi.org/10.5281/zenodo.14974386","title":"mmGait10 - Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds","display_name":"mmGait10 - Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds","publication_year":2025,"publication_date":"2025-03-05","ids":{"openalex":"https://openalex.org/W6949472738","doi":"https://doi.org/10.5281/zenodo.14974386"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.14974386","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14974386","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.14974386","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mazzieri, Riccardo","orcid":"https://orcid.org/0000-0001-8254-5239"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mazzieri, Riccardo","raw_affiliation_strings":["University of Padua"],"raw_orcid":"https://orcid.org/0000-0001-8254-5239","affiliations":[{"raw_affiliation_string":"University of Padua","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pegoraro, Jacopo","orcid":"https://orcid.org/0000-0003-3555-5666"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pegoraro, Jacopo","raw_affiliation_strings":["University of Padua"],"raw_orcid":"https://orcid.org/0000-0003-3555-5666","affiliations":[{"raw_affiliation_string":"University of Padua","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":null,"display_name":"ROSSI, MICHELE","orcid":"https://orcid.org/0000-0003-1121-324X"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"ROSSI, MICHELE","raw_affiliation_strings":["University of Padova"],"raw_orcid":"https://orcid.org/0000-0003-1121-324X","affiliations":[{"raw_affiliation_string":"University of Padova","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138689650"],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.17479999363422394,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.17479999363422394,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.1396999955177307,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11937","display_name":"Research Data Management Practices","score":0.04809999838471413,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/point-cloud","display_name":"Point cloud","score":0.7578999996185303},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.590399980545044},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.5400999784469604},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5241000056266785},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.47540000081062317},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.40400001406669617}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7578999996185303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.694599986076355},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.590399980545044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5446000099182129},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.5400999784469604},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5241000056266785},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4887000024318695},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.47540000081062317},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.40400001406669617},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.35370001196861267},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.305400013923645},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.2703000009059906},{"id":"https://openalex.org/C134406370","wikidata":"https://www.wikidata.org/wiki/Q832005","display_name":"Radar engineering details","level":4,"score":0.2639999985694885}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.14974386","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14974386","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.14974386","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14974386","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.44335484504699707}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,103,134],"adoption":[1],"of":[2,109,131,230],"mmWave":[3,253],"radar":[4,28,50,100,110],"for":[5,34,61,93,187],"human":[6,271],"sensing":[7,51,276],"has":[8],"gained":[9],"significant":[10],"attention":[11],"due":[12,65,73],"to":[13,17,66,74,84,126,151,245,265],"its":[14,67],"efficiency,":[15],"robustness":[16],"environmental":[18],"conditions,":[19],"and":[20,36,40,77,86,124,160,200,236,274],"privacy-preserving":[21],"nature.":[22,79],"In":[23],"particular,":[24],"gait":[25,95,162,204,269],"recognition":[26,96],"using":[27],"point":[29,56,101,111],"clouds":[30],"presents":[31],"new":[32,71],"opportunities":[33],"unobtrusive":[35],"resilient":[37],"biometric":[38],"authentication":[39],"activity":[41,272],"analysis.":[42],"Unlike":[43],"more":[44],"traditional":[45],"representations":[46],"employed":[47],"in":[48,138,181,203,220,268],"the":[49,207,221,239,241],"literature":[52],"(e.g.":[53],"micro-Doppler":[54],"signatures),":[55],"cloud":[57,112],"data":[58],"is":[59,243,263],"well-suited":[60],"edge":[62],"computing":[63],"applications":[64],"compactness,":[68],"but":[69],"pose":[70],"challenges":[72],"their":[75],"noisy":[76],"sparse":[78,99],"This":[80,261],"dataset":[81,104,262],"was":[82,149,185],"collected":[83,114,210],"build":[85],"validate":[87],"an":[88],"original":[89],"neural":[90],"network":[91],"model":[92],"open-set":[94],"(OSGR)":[97],"from":[98,115,251],"clouds.":[102],"comprises":[105],"approximately":[106,188],"5":[107],"hours":[108],"measurements":[113,208],"10":[116,192,231],"subjects":[117],"with":[118,166,179,191,211],"diverse":[119],"physical":[120],"characteristics":[121],"(sex,":[122],"height,":[123],"weight)":[125],"ensure":[127],"a":[128,139,176,198,212,227],"realistic":[129],"variety":[130],"walking":[132,169,195],"patterns.":[133,205],"captures":[135],"were":[136,164,209],"recorded":[137,186],"7.81":[140],"\u00d7":[141],"7.26":[142],"m":[143],"indoor":[144],"environment,":[145],"where":[146],"each":[147],"participant":[148],"instructed":[150],"walk":[152],"freely":[153,172],"along":[154],"random":[155],"trajectories.":[156],"To":[157],"enhance":[158],"diversity":[159],"realism,":[161],"recordings":[163],"performed":[165],"three":[167],"different":[168],"manners:":[170],"Walking":[171,173,178],"while":[174],"holding":[175],"smartphone":[177],"hands":[180],"pockets":[182],"Each":[183],"subject":[184],"30":[189],"minutes,":[190],"minutes":[193],"per":[194],"condition,":[196],"providing":[197],"rich":[199],"balanced":[201],"variability":[202],"All":[206],"commercial":[213],"Texas":[214],"Instruments":[215],"MMWCAS-RF-EVM":[216],"FMCW":[217],"Radar,":[218],"operating":[219],"77-81":[222],"GHz":[223],"frequency":[224],"band":[225],"at":[226,258],"frame":[228],"rate":[229],"Hz.":[232],"For":[233],"additional":[234],"details":[235],"information":[237],"about":[238],"dataset,":[240],"user":[242],"redirected":[244],"our":[246],"paper":[247],"\"Open-Set":[248],"Gait":[249],"Recognition":[250],"Sparse":[252],"Radar":[254],"Point":[255],"Clouds\",":[256],"available":[257],"this":[259],"link.":[260],"intended":[264],"support":[266],"research":[267],"analysis,":[270],"recognition,":[273],"radar-based":[275],"applications.":[277]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
