{"id":"https://openalex.org/W2996174682","doi":"https://doi.org/10.1109/acirs.2019.8936005","title":"Facial Features Extraction Based on Distance and Area of Points for Expression Recognition","display_name":"Facial Features Extraction Based on Distance and Area of Points for Expression Recognition","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2996174682","doi":"https://doi.org/10.1109/acirs.2019.8936005","mag":"2996174682"},"language":"en","primary_location":{"id":"doi:10.1109/acirs.2019.8936005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acirs.2019.8936005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)","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/A5041132173","display_name":"Muhammad Ilhamdi Rusydi","orcid":"https://orcid.org/0000-0001-7529-1584"},"institutions":[{"id":"https://openalex.org/I55892964","display_name":"Andalas University","ror":"https://ror.org/04ded0672","country_code":"ID","type":"education","lineage":["https://openalex.org/I55892964"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Muhammad Ilhamdi Rusydi","raw_affiliation_strings":["Department of Electrical Engineering Faculty of Engineering, Universitas Andalas Padang, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering Faculty of Engineering, Universitas Andalas Padang, Indonesia","institution_ids":["https://openalex.org/I55892964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033027223","display_name":"Rizka Hadelina","orcid":"https://orcid.org/0000-0003-2617-2153"},"institutions":[{"id":"https://openalex.org/I55892964","display_name":"Andalas University","ror":"https://ror.org/04ded0672","country_code":"ID","type":"education","lineage":["https://openalex.org/I55892964"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Rizka Hadelina","raw_affiliation_strings":["Department of Electrical Engineering Faculty of Engineering, Universitas Andalas Padang, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering Faculty of Engineering, Universitas Andalas Padang, Indonesia","institution_ids":["https://openalex.org/I55892964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042592657","display_name":"Oluwarotimi Williams Samuel","orcid":"https://orcid.org/0000-0003-1945-1402"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Oluwarotimi W. Samuel","raw_affiliation_strings":["Shenzen Institutes of Advanced Technology Chinese Academy of Sciences Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzen Institutes of Advanced Technology Chinese Academy of Sciences Beijing, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055535297","display_name":"Agung W. Setiawan","orcid":"https://orcid.org/0000-0002-7392-9190"},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Agung Wahyu Setiawan","raw_affiliation_strings":["School of Electrical Engineering and Informatics Institut Teknologi Bandung, Bandung, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics Institut Teknologi Bandung, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057802496","display_name":"Carmadi Machbub","orcid":null},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Carmadi Machbub","raw_affiliation_strings":["School of Electrical Engineering and Informatics Institut Teknologi Bandung, Bandung, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics Institut Teknologi Bandung, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4054,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70164918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"211","last_page":"215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9961000084877014,"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/T10057","display_name":"Face and Expression Recognition","score":0.9957000017166138,"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/facial-expression","display_name":"Facial expression","score":0.8101816177368164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7296153903007507},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6617672443389893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6374599933624268},{"id":"https://openalex.org/keywords/disgust","display_name":"Disgust","score":0.634163498878479},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5804433226585388},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5757750868797302},{"id":"https://openalex.org/keywords/surprise","display_name":"Surprise","score":0.5710886120796204},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.5125920176506042},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4763900637626648},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46864932775497437},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.44682541489601135},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4131147861480713},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.35314035415649414},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35301119089126587},{"id":"https://openalex.org/keywords/anger","display_name":"Anger","score":0.20749357342720032},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.20049604773521423},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11803436279296875},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.07989099621772766},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.061800092458724976}],"concepts":[{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.8101816177368164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7296153903007507},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6617672443389893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6374599933624268},{"id":"https://openalex.org/C2777375102","wikidata":"https://www.wikidata.org/wiki/Q208351","display_name":"Disgust","level":3,"score":0.634163498878479},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5804433226585388},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5757750868797302},{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.5710886120796204},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.5125920176506042},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4763900637626648},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46864932775497437},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.44682541489601135},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4131147861480713},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.35314035415649414},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35301119089126587},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.20749357342720032},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.20049604773521423},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11803436279296875},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.07989099621772766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.061800092458724976},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acirs.2019.8936005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acirs.2019.8936005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2264829734","https://openalex.org/W2531733772","https://openalex.org/W2613393316","https://openalex.org/W2736695796","https://openalex.org/W2798484817","https://openalex.org/W2799041689","https://openalex.org/W2814613908","https://openalex.org/W2898656201","https://openalex.org/W2905126500","https://openalex.org/W2905145387","https://openalex.org/W2909402173","https://openalex.org/W2913821117","https://openalex.org/W6750843368"],"related_works":["https://openalex.org/W2503799762","https://openalex.org/W2945121592","https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W2040482211","https://openalex.org/W2058325696","https://openalex.org/W325114128","https://openalex.org/W2185537520","https://openalex.org/W3108145925","https://openalex.org/W4387163326"],"abstract_inverted_index":{"Facial":[0,20],"expression":[1,21,48,66,165],"is":[2,50,71,95],"a":[3,59,128],"means":[4],"of":[5,46,76,124,130,185],"non-verbal":[6],"communication":[7],"that":[8,80,140,171],"provides":[9],"information":[10],"from":[11,136],"which":[12,105],"an":[13,33,158],"individual's":[14],"emotional":[15],"status/mind":[16],"could":[17,175],"be":[18,108,119],"decoded.":[19],"recognition":[22,49],"has":[23,31],"been":[24],"applied":[25,154],"in":[26,38,180],"various":[27],"fields":[28],"and":[29,78,115,147],"it":[30],"become":[32],"increasingly":[34],"interesting":[35],"research":[36],"field":[37],"the":[39,51,74,99,103,122,125,137,144,172,183,186],"recent":[40],"years.":[41],"A":[42],"significantly":[43],"important":[44],"aspect":[45],"facial":[47,61,87,100,132,150],"feature":[52,62],"extraction":[53,63,126],"process.":[54],"Hence,":[55],"this":[56],"paper":[57],"presents":[58],"new":[60],"method":[64,70,174],"for":[65,164],"detection.":[67],"The":[68,149,167],"proposed":[69,173],"based":[72],"on":[73],"computation":[75,94],"distances":[77],"areas":[79],"are":[81,141],"formed":[82,135],"by":[83,90],"two":[84],"or":[85],"three":[86],"points":[88,139],"provided":[89],"Kinect":[91],"v.2.":[92],"This":[93],"used":[96,109],"to":[97,110],"obtained":[98],"features.":[101],"Then,":[102],"features":[104,133,151],"potentially":[106],"can":[107],"distinguish":[111],"happiness,":[112],"disgust,":[113],"surprise":[114],"anger":[116],"expressions,":[117],"will":[118],"selected.":[120],"From":[121],"results":[123],"process,":[127],"total":[129],"6":[131],"were":[134,152],"12":[138],"located":[142],"arround":[143],"mouth,":[145],"eyebrows,":[146],"cheeks.":[148],"later":[153],"as":[155],"inputs":[156],"into":[157],"artificial":[159],"neural":[160],"network":[161],"model":[162],"built":[163],"prediction.":[166],"overall":[168],"result":[169],"shows":[170],"achieve":[176],"75%":[177],"success":[178],"rate":[179],"correctly":[181],"predicting":[182],"expressions":[184],"participants.":[187]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
