{"id":"https://openalex.org/W2086045422","doi":"https://doi.org/10.1109/bmei.2014.7002769","title":"Gender recognition from torso features using elliptic fourier descriptors","display_name":"Gender recognition from torso features using elliptic fourier descriptors","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2086045422","doi":"https://doi.org/10.1109/bmei.2014.7002769","mag":"2086045422"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2014.7002769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2014.7002769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 7th International Conference on Biomedical Engineering and Informatics","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/A5100358064","display_name":"Zhaohui Wang","orcid":"https://orcid.org/0009-0002-7793-0292"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaohui Wang","raw_affiliation_strings":["Institute of Fashion & Art Design, Donghua University, Shanghai, China","Key Laboratory of Clothing Design & Technology, Ministry of Education, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Fashion & Art Design, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"Key Laboratory of Clothing Design & Technology, Ministry of Education, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101560795","display_name":"Ming Xia","orcid":"https://orcid.org/0009-0005-2472-7735"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Xia","raw_affiliation_strings":["Institute of Fashion & Art Design, Donghua University, Shanghai, China","Key Laboratory of Clothing Design & Technology, Ministry of Education, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Fashion & Art Design, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"Key Laboratory of Clothing Design & Technology, Ministry of Education, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100358064"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.14586761,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"194","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9918000102043152,"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/T10057","display_name":"Face and Expression Recognition","score":0.9918000102043152,"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/T11595","display_name":"Textile materials and evaluations","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/torso","display_name":"Torso","score":0.941594660282135},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7275943756103516},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6280953884124756},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5875953435897827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5605489015579224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5346575975418091},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.47537341713905334},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4732706546783447},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.41040271520614624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2106589376926422}],"concepts":[{"id":"https://openalex.org/C523889960","wikidata":"https://www.wikidata.org/wiki/Q160695","display_name":"Torso","level":2,"score":0.941594660282135},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7275943756103516},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6280953884124756},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5875953435897827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5605489015579224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5346575975418091},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.47537341713905334},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4732706546783447},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.41040271520614624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2106589376926422},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2014.7002769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2014.7002769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 7th International Conference on Biomedical Engineering and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W279848753","https://openalex.org/W1500731913","https://openalex.org/W1771614294","https://openalex.org/W1796568083","https://openalex.org/W1981572605","https://openalex.org/W1989702938","https://openalex.org/W2035753550","https://openalex.org/W2044405949","https://openalex.org/W2051688318","https://openalex.org/W2063394161","https://openalex.org/W2086686833","https://openalex.org/W2100927897","https://openalex.org/W2149389315","https://openalex.org/W2151419026","https://openalex.org/W2161576138","https://openalex.org/W2608385747"],"related_works":["https://openalex.org/W4381953457","https://openalex.org/W2037557144","https://openalex.org/W2285739514","https://openalex.org/W2058088690","https://openalex.org/W2086597735","https://openalex.org/W2052143774","https://openalex.org/W1984495143","https://openalex.org/W4308297792","https://openalex.org/W2158185825","https://openalex.org/W1606408717"],"abstract_inverted_index":{"Gender":[0],"recognition":[1,90,99,117],"has":[2,94],"important":[3],"applications":[4],"in":[5,122],"apparel":[6],"design,":[7],"social":[8],"security,":[9],"and":[10,28,35,41,75,107,118],"human-computer":[11],"interaction":[12],"systems.":[13],"In":[14],"this":[15],"paper,":[16],"we":[17],"investigate":[18],"gender-recognition":[19],"technologies":[20],"using":[21,44],"3-D":[22],"human":[23],"body":[24],"shape.":[25],"The":[26,84],"front":[27],"side":[29],"silhouettes":[30],"from":[31,91],"459":[32],"female":[33],"subjects":[34,38],"107":[36],"male":[37],"were":[39],"extracted":[40],"then":[42],"modeled":[43],"normalized":[45],"Elliptic":[46],"Fourier":[47],"descriptors.":[48],"Principal":[49],"Component":[50],"Analysis":[51],"(PCA)":[52],"was":[53,79],"conducted":[54],"to":[55,81],"summarize":[56],"the":[57,61,88,102,105],"information":[58],"contained":[59],"by":[60],"EF":[62],"coefficients.":[63],"A":[64],"back":[65],"propagation":[66],"(BP)":[67],"neural":[68,109],"network":[69,110],"with":[70],"33":[71],"inputs,":[72],"2":[73],"outputs":[74],"10":[76],"hidden":[77],"layers":[78],"adopted":[80],"gender":[82,89,116],"recognition.":[83],"research":[85],"demonstrates":[86],"that":[87],"torso":[92],"features":[93],"achieved":[95],"a":[96],"considerably":[97],"high":[98],"rate.":[100],"Moreover,":[101],"combination":[103],"of":[104],"PCA":[106],"BP":[108],"have":[111],"provided":[112],"effective":[113],"ways":[114],"for":[115],"overcome":[119],"some":[120],"limitations":[121],"other":[123],"technologies.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
