{"id":"https://openalex.org/W4385482839","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191513","title":"Thermal Gait Dataset for Deep Learning-Oriented Gait Recognition","display_name":"Thermal Gait Dataset for Deep Learning-Oriented Gait Recognition","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385482839","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191513"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","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/A5111018431","display_name":"Fatma Youssef","orcid":null},"institutions":[{"id":"https://openalex.org/I32619867","display_name":"Egypt-Japan University of Science and Technology","ror":"https://ror.org/02x66tk73","country_code":"EG","type":"education","lineage":["https://openalex.org/I32619867"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Fatma Youssef","raw_affiliation_strings":["Egypt-Japan University of Science and Technology,Department of Computer Science and Engineering,Alexandria,Egypt","Department of Computer Science and Engineering, Egypt-Japan University of Science and Technology, Alexandria, Egypt"],"affiliations":[{"raw_affiliation_string":"Egypt-Japan University of Science and Technology,Department of Computer Science and Engineering,Alexandria,Egypt","institution_ids":["https://openalex.org/I32619867"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Egypt-Japan University of Science and Technology, Alexandria, Egypt","institution_ids":["https://openalex.org/I32619867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020863121","display_name":"Ahmed El-Mahdy","orcid":"https://orcid.org/0000-0001-9736-1352"},"institutions":[{"id":"https://openalex.org/I32619867","display_name":"Egypt-Japan University of Science and Technology","ror":"https://ror.org/02x66tk73","country_code":"EG","type":"education","lineage":["https://openalex.org/I32619867"]},{"id":"https://openalex.org/I84524832","display_name":"Alexandria University","ror":"https://ror.org/00mzz1w90","country_code":"EG","type":"education","lineage":["https://openalex.org/I84524832"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ahmed El-Mahdy","raw_affiliation_strings":["Egypt-Japan University of Science and Technology,Department of Computer Science and Engineering,Alexandria,Egypt","Faculty of Engineering, Alexandria University, Alexandria, Egypt","Department of Computer Science and Engineering, Egypt-Japan University of Science and Technology, Alexandria, Egypt"],"affiliations":[{"raw_affiliation_string":"Egypt-Japan University of Science and Technology,Department of Computer Science and Engineering,Alexandria,Egypt","institution_ids":["https://openalex.org/I32619867"]},{"raw_affiliation_string":"Faculty of Engineering, Alexandria University, Alexandria, Egypt","institution_ids":["https://openalex.org/I84524832"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Egypt-Japan University of Science and Technology, Alexandria, Egypt","institution_ids":["https://openalex.org/I32619867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087632404","display_name":"Tetsuji Ogawa","orcid":"https://orcid.org/0000-0002-7316-2073"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuji Ogawa","raw_affiliation_strings":["Waseda University,Department of Communications and Computer Engineering,Tokyo,Japan","Department of Communications and Computer Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University,Department of Communications and Computer Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Department of Communications and Computer Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108022479","display_name":"Walid Gomaa","orcid":null},"institutions":[{"id":"https://openalex.org/I84524832","display_name":"Alexandria University","ror":"https://ror.org/00mzz1w90","country_code":"EG","type":"education","lineage":["https://openalex.org/I84524832"]},{"id":"https://openalex.org/I32619867","display_name":"Egypt-Japan University of Science and Technology","ror":"https://ror.org/02x66tk73","country_code":"EG","type":"education","lineage":["https://openalex.org/I32619867"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Walid Gomaa","raw_affiliation_strings":["Alexandria University,Faculty of Engineering,Alexandria,Egypt","Cyber-Physical Systems Lab, Egypt-Japan University of Science and Technology, Alexandria, Egypt","Faculty of Engineering, Alexandria University, Alexandria, Egypt"],"affiliations":[{"raw_affiliation_string":"Alexandria University,Faculty of Engineering,Alexandria,Egypt","institution_ids":["https://openalex.org/I84524832"]},{"raw_affiliation_string":"Cyber-Physical Systems Lab, Egypt-Japan University of Science and Technology, Alexandria, Egypt","institution_ids":["https://openalex.org/I32619867"]},{"raw_affiliation_string":"Faculty of Engineering, Alexandria University, Alexandria, Egypt","institution_ids":["https://openalex.org/I84524832"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111018431"],"corresponding_institution_ids":["https://openalex.org/I32619867"],"apc_list":null,"apc_paid":null,"fwci":0.3375,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53029409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.988099992275238,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.7533718347549438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.731147050857544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7125596404075623},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6992570161819458},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6230342388153076},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6045564413070679},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5673271417617798},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.5363110303878784},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5137602090835571},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39248305559158325},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.20319628715515137}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7533718347549438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.731147050857544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7125596404075623},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6992570161819458},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6230342388153076},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6045564413070679},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5673271417617798},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.5363110303878784},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5137602090835571},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39248305559158325},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.20319628715515137},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1536053808","https://openalex.org/W1937803928","https://openalex.org/W2050785999","https://openalex.org/W2104335344","https://openalex.org/W2113408265","https://openalex.org/W2136504992","https://openalex.org/W2308101195","https://openalex.org/W2602506882","https://openalex.org/W2746562333","https://openalex.org/W2807624910","https://openalex.org/W2897874865","https://openalex.org/W2966208575","https://openalex.org/W3046961188","https://openalex.org/W3089166767","https://openalex.org/W3107569347","https://openalex.org/W4205268692","https://openalex.org/W4206706211","https://openalex.org/W4214612132","https://openalex.org/W4284964780","https://openalex.org/W4285290258","https://openalex.org/W4288049693","https://openalex.org/W4292771416","https://openalex.org/W6632219123","https://openalex.org/W6675575696","https://openalex.org/W6677051090","https://openalex.org/W6736041021","https://openalex.org/W6767902521"],"related_works":["https://openalex.org/W3185413894","https://openalex.org/W1905194803","https://openalex.org/W4226493464","https://openalex.org/W2137411393","https://openalex.org/W1923394858","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W2133973503","https://openalex.org/W2471060339"],"abstract_inverted_index":{"This":[0,101,134],"study":[1],"attempted":[2],"to":[3,34,59,62],"construct":[4],"a":[5,31,36,64,105,129],"thermal":[6,75,92,110],"dataset":[7,135,164,197],"of":[8,86,109,175,183],"human":[9],"gait":[10,27,93,111,140,178,202],"in":[11,66,73,96,113,138,189],"diverse":[12],"environments":[13,118],"suitable":[14,47],"for":[15,26,48,170],"building":[16],"and":[17,38,50,116,131,147,156,180],"evaluating":[18],"sophisticated":[19],"deep":[20,206],"learning":[21,207],"models":[22,185],"(e.g.,":[23],"vision":[24,158],"transformers)":[25],"recognition.":[28],"Gait":[29],"is":[30,57,77],"behavioral":[32],"biometric":[33],"identify":[35],"person":[37,65,89,148,171],"requires":[39],"no":[40],"cooperation":[41],"from":[42],"the":[43,84,97,166,173,181,184,187,195],"person,":[44],"making":[45],"it":[46,56,192],"security":[49,54],"surveillance":[51],"applications.":[52],"For":[53],"purposes,":[55],"desirable":[58],"be":[60],"able":[61],"recognize":[63],"darkness":[67],"or":[68],"other":[69],"inadequate":[70],"lighting":[71],"conditions,":[72],"which":[74],"imagery":[76],"advantageous":[78],"over":[79],"visible":[80],"light":[81],"imagery.":[82],"Despite":[83],"importance":[85],"such":[87,143],"nighttime":[88],"identification,":[90],"available":[91],"datasets":[94],"captured":[95],"dark":[98],"are":[99],"scarce.":[100],"study,":[102],"therefore,":[103],"collected":[104],"relatively":[106],"large":[107],"set":[108],"data":[112],"both":[114],"indoor":[115],"outdoor":[117],"with":[119],"several":[120],"walking":[121,124,126,132,190],"styles,":[122],"e.g.,":[123],"normally,":[125],"while":[127],"carrying":[128],"bag,":[130],"fast.":[133],"was":[136],"utilized":[137],"multiple":[139],"recognition":[141,203],"tasks,":[142],"as":[144],"gender":[145],"classification":[146],"verification,":[149],"using":[150,162,204],"legacy":[151],"convolutional":[152],"neural":[153],"networks":[154],"(CNNs)":[155],"modern":[157],"transformers":[159],"(ViTs).":[160],"Experiments":[161],"this":[163],"revealed":[165],"effective":[167],"training":[168],"method":[169],"ver-ification,":[172],"effectiveness":[174],"ViT":[176],"on":[177,201],"recognition,":[179],"robustness":[182],"against":[186],"difference":[188],"styles;":[191],"suggests":[193],"that":[194],"developed":[196],"enables":[198],"various":[199],"studies":[200],"state-of-the-art":[205],"models.":[208]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}