{"id":"https://openalex.org/W2739195814","doi":"https://doi.org/10.1109/cybconf.2017.7985782","title":"Human Gender Classification Based on Gait Features Using Kinect Sensor","display_name":"Human Gender Classification Based on Gait Features Using Kinect Sensor","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2739195814","doi":"https://doi.org/10.1109/cybconf.2017.7985782","mag":"2739195814"},"language":"en","primary_location":{"id":"doi:10.1109/cybconf.2017.7985782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf.2017.7985782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 3rd IEEE International Conference on Cybernetics (CYBCONF)","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/A5084338349","display_name":"Mohammed Hussein Ahmed","orcid":"https://orcid.org/0000-0002-0946-8000"},"institutions":[{"id":"https://openalex.org/I3132703562","display_name":"University of Raparin","ror":"https://ror.org/00fs9wb06","country_code":"IQ","type":"education","lineage":["https://openalex.org/I3132703562"]}],"countries":["IQ"],"is_corresponding":true,"raw_author_name":"Mohammed Hussein Ahmed","raw_affiliation_strings":["Department of Computer Science, University of Raparin"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Raparin","institution_ids":["https://openalex.org/I3132703562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050342812","display_name":"Azhin Tahir Sabir","orcid":"https://orcid.org/0000-0001-8856-3008"},"institutions":[{"id":"https://openalex.org/I4896460","display_name":"Koya University","ror":"https://ror.org/017pq0w72","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4896460"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Azhin Tahir Sabir","raw_affiliation_strings":["Department of Software Engineering, Koya University"],"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Koya University","institution_ids":["https://openalex.org/I4896460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084338349"],"corresponding_institution_ids":["https://openalex.org/I3132703562"],"apc_list":null,"apc_paid":null,"fwci":1.308,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.79004243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"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":1.0,"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":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.996999979019165,"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":0.991100013256073,"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/support-vector-machine","display_name":"Support vector machine","score":0.8326623439788818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7302502393722534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7190428972244263},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6404193043708801},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6221903562545776},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5828748345375061},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5283836722373962},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4285218119621277},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4123910367488861},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40776491165161133}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8326623439788818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7302502393722534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7190428972244263},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6404193043708801},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6221903562545776},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5828748345375061},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5283836722373962},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4285218119621277},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4123910367488861},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40776491165161133},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cybconf.2017.7985782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf.2017.7985782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 3rd IEEE International Conference on Cybernetics (CYBCONF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W650677643","https://openalex.org/W1976142071","https://openalex.org/W2013824515","https://openalex.org/W2029209602","https://openalex.org/W2030085475","https://openalex.org/W2103453807","https://openalex.org/W2147815065","https://openalex.org/W2160813177","https://openalex.org/W2182983406","https://openalex.org/W2298077362","https://openalex.org/W2402127799","https://openalex.org/W3023613223","https://openalex.org/W4245336171","https://openalex.org/W6657658435","https://openalex.org/W6683550236","https://openalex.org/W6712992596"],"related_works":["https://openalex.org/W2250488071","https://openalex.org/W2356150353","https://openalex.org/W2018643641","https://openalex.org/W2380744779","https://openalex.org/W2090763504","https://openalex.org/W1999647744","https://openalex.org/W2967867994","https://openalex.org/W4288315282","https://openalex.org/W2951122819","https://openalex.org/W2353313924"],"abstract_inverted_index":{"Gender":[0],"classification":[1,43,78,113],"is":[2,20,30,82],"an":[3],"important":[4],"task":[5],"in":[6],"video":[7],"surveillance.":[8],"Terrorists":[9],"and":[10,68,108,117],"other":[11],"criminals":[12],"mostly":[13],"act":[14],"from":[15],"a":[16,23,37,50,77],"distance.":[17],"Therefore,":[18],"it":[19],"proposed":[21,99],"that":[22,26,97],"gait-based":[24,41],"method":[25,39,81,100],"recognizes":[27],"humans":[28],"remotely":[29],"required.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35],"propose":[36],"new":[38],"of":[40],"gender":[42,112],"based":[44,52,84],"on":[45,53,85],"the":[46,54,90,98],"Kinect":[47],"sensor,":[48],"using":[49,114],"model":[51],"feature":[55],"set,":[56],"'Dynamic":[57],"Distance":[58],"Feature":[59],"(DDF)'.":[60],"Nearest":[61],"Neighbour":[62],"(NN),":[63],"Linear":[64],"Discriminant":[65],"Classifier":[66],"(LDC),":[67],"Support":[69],"Vector":[70],"Machine":[71],"(SVM)":[72],"are":[73],"used":[74],"separately":[75],"as":[76],"method.":[79],"The":[80,93],"tested":[83],"skeletal":[86],"data":[87],"provided":[88,101],"by":[89,104],"Microsoft":[91],"Kinect.":[92],"experimental":[94],"results":[95,103],"show":[96],"significant":[102],"achieving":[105],"96.67%,":[106],"91%":[107],"90%":[109],"accuracy":[110],"for":[111],"NN,":[115],"LDC,":[116],"SVM":[118],"respectively.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}
