{"id":"https://openalex.org/W3044894888","doi":"https://doi.org/10.1109/access.2020.3011697","title":"Human Posture Recognition Using a Hybrid of Fuzzy Logic and Machine Learning Approaches","display_name":"Human Posture Recognition Using a Hybrid of Fuzzy Logic and Machine Learning Approaches","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3044894888","doi":"https://doi.org/10.1109/access.2020.3011697","mag":"3044894888"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3011697","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3011697","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09146835.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09146835.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103077395","display_name":"Weiyan Ren","orcid":"https://orcid.org/0000-0003-1868-5047"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyan Ren","raw_affiliation_strings":["School of Aerospace Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1868-5047","affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048659136","display_name":"Ou Ma","orcid":"https://orcid.org/0000-0003-2727-1997"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ou Ma","raw_affiliation_strings":["College of Engineering and Engineering Sciences, University of Cincinnati, Cincinnati, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering and Engineering Sciences, University of Cincinnati, Cincinnati, USA","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012708664","display_name":"Hongxin Ji","orcid":"https://orcid.org/0000-0001-7265-7798"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxin Ji","raw_affiliation_strings":["School of Aerospace Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7265-7798","affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053250613","display_name":"Xinyuan Liu","orcid":"https://orcid.org/0000-0001-6195-6223"},"institutions":[{"id":"https://openalex.org/I2801051648","display_name":"China-Japan Friendship Hospital","ror":"https://ror.org/037cjxp13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801051648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyuan Liu","raw_affiliation_strings":["Rehabilitation Medicine Department, China-Japan Friendship Hospital, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rehabilitation Medicine Department, China-Japan Friendship Hospital, Beijing, China","institution_ids":["https://openalex.org/I2801051648"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.5554,"has_fulltext":true,"cited_by_count":73,"citation_normalized_percentile":{"value":0.96487861,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"135628","last_page":"135639"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9944999814033508,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lying","display_name":"Lying","score":0.8709393739700317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7384626865386963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6990929841995239},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.669620156288147},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5701481103897095},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5450473427772522},{"id":"https://openalex.org/keywords/wheelchair","display_name":"Wheelchair","score":0.5375345349311829},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49799132347106934},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47649234533309937},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4311324954032898}],"concepts":[{"id":"https://openalex.org/C119421448","wikidata":"https://www.wikidata.org/wiki/Q2268776","display_name":"Lying","level":2,"score":0.8709393739700317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7384626865386963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6990929841995239},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.669620156288147},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5701481103897095},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5450473427772522},{"id":"https://openalex.org/C2781042323","wikidata":"https://www.wikidata.org/wiki/Q191931","display_name":"Wheelchair","level":2,"score":0.5375345349311829},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49799132347106934},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47649234533309937},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4311324954032898},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3011697","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3011697","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09146835.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0c660eac5a324f76b96f9b9a063f6a82","is_oa":true,"landing_page_url":"https://doaj.org/article/0c660eac5a324f76b96f9b9a063f6a82","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 135628-135639 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3011697","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3011697","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09146835.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"},{"id":"https://openalex.org/F4320335783","display_name":"China-Japan Friendship Hospital","ror":"https://ror.org/037cjxp13"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3044894888.pdf","grobid_xml":"https://content.openalex.org/works/W3044894888.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W126765965","https://openalex.org/W1866203528","https://openalex.org/W1964251291","https://openalex.org/W2003235200","https://openalex.org/W2018803499","https://openalex.org/W2027623192","https://openalex.org/W2066341728","https://openalex.org/W2117478831","https://openalex.org/W2118603388","https://openalex.org/W2124222146","https://openalex.org/W2138963285","https://openalex.org/W2151076262","https://openalex.org/W2169520787","https://openalex.org/W2172156083","https://openalex.org/W2280987539","https://openalex.org/W2515603221","https://openalex.org/W2526807362","https://openalex.org/W2534350601","https://openalex.org/W2554777659","https://openalex.org/W2562662934","https://openalex.org/W2606699032","https://openalex.org/W2736847593","https://openalex.org/W2743188968","https://openalex.org/W2786189998","https://openalex.org/W2789962474","https://openalex.org/W2890992624","https://openalex.org/W2896347783","https://openalex.org/W2903891898","https://openalex.org/W2914492151","https://openalex.org/W2918891466","https://openalex.org/W2945281038","https://openalex.org/W2963024823","https://openalex.org/W2979370856","https://openalex.org/W2980799546","https://openalex.org/W2982551402","https://openalex.org/W3001630589","https://openalex.org/W3002844711","https://openalex.org/W3004044926","https://openalex.org/W3005455080","https://openalex.org/W4246343438"],"related_works":["https://openalex.org/W2955910435","https://openalex.org/W2888123326","https://openalex.org/W2501458630","https://openalex.org/W2982312151","https://openalex.org/W4246089694","https://openalex.org/W2747462053","https://openalex.org/W2753162950","https://openalex.org/W4210719352","https://openalex.org/W2347526077","https://openalex.org/W1568263573"],"abstract_inverted_index":{"An":[0,91],"autonomous":[1],"assistive":[2],"robot":[3],"needs":[4],"to":[5,22,41,113],"recognize":[6],"the":[7,11,30,33,39,99,102,114,118,124],"body-limb":[8],"posture":[9,31],"of":[10,32,50,94,120],"person":[12,34],"being":[13],"assisted":[14],"while":[15],"he/she":[16],"is":[17,111],"lying":[18,54,88],"in":[19,55,89],"a":[20,42,47,56,59,72],"bed":[21,40,57],"provide":[23],"care":[24],"services":[25],"such":[26],"as":[27],"helping":[28],"change":[29],"or":[35],"carrying":[36],"him/her":[37],"from":[38,84],"wheelchair.":[43],"This":[44],"paper":[45],"presents":[46],"data-efficient":[48],"classification":[49],"human":[51],"postures":[52],"when":[53],"using":[58,71,82],"hybrid":[60],"fuzzy":[61],"logic":[62],"and":[63,107],"machine":[64],"learning":[65],"approach.":[66],"The":[67],"classifier":[68],"was":[69,96],"trained":[70],"relatively":[73],"small":[74],"dataset":[75,104],"containing":[76],"19,800":[77],"annotated":[78],"depth":[79,106],"images":[80],"collected":[81],"Kinect":[83],"32":[85],"test":[86],"subjects":[87],"bed.":[90],"overall":[92],"accuracy":[93],"97.1%":[95],"achieved":[97],"on":[98],"dataset.":[100],"Furthermore,":[101],"image":[103],"including":[105],"red-green-blue":[108],"(RGB)":[109],"images,":[110],"available":[112],"research":[115],"community":[116],"with":[117,123],"publication":[119],"this":[121],"paper,":[122],"hope":[125],"that":[126],"it":[127],"can":[128],"benefit":[129],"other":[130],"researchers.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":12},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}