{"id":"https://openalex.org/W3207392793","doi":"https://doi.org/10.1109/access.2021.3119615","title":"MR-CapsNet: A Deep Learning Algorithm for Image-Based Head Pose Estimation on CapsNet","display_name":"MR-CapsNet: A Deep Learning Algorithm for Image-Based Head Pose Estimation on CapsNet","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3207392793","doi":"https://doi.org/10.1109/access.2021.3119615","mag":"3207392793"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3119615","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3119615","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09568882.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/ielx7/6287639/6514899/09568882.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101866618","display_name":"Hao Fang","orcid":"https://orcid.org/0000-0002-5015-6017"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Fang","raw_affiliation_strings":["School of Electronic Information, Yangtze University, Jingzhou, 434023 China and National Demonstration Center for Experimental Electrical & Electronic Education, Yangtze University, Jingzhou, 434023 China and West Institute, Yangtze University, Kelamayi, 834000 China"],"raw_orcid":"https://orcid.org/0000-0002-5015-6017","affiliations":[{"raw_affiliation_string":"School of Electronic Information, Yangtze University, Jingzhou, 434023 China and National Demonstration Center for Experimental Electrical & Electronic Education, Yangtze University, Jingzhou, 434023 China and West Institute, Yangtze University, Kelamayi, 834000 China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103213242","display_name":"Junqing Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-Qing Liu","raw_affiliation_strings":["School of Computer Science, Yangtze University, Jingzhou, 434023 China"],"raw_orcid":"https://orcid.org/0000-0003-0462-0007","affiliations":[{"raw_affiliation_string":"School of Computer Science, Yangtze University, Jingzhou, 434023 China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037041659","display_name":"Kai Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Xie","raw_affiliation_strings":["School of Electronic Information, Yangtze University, Jingzhou, 434023 China and National Demonstration Center for Experimental Electrical & Electronic Education, Yangtze University, Jingzhou, 434023 China and West Institute, Yangtze University, Kelamayi, 834000 China. (e-mail: pami2009@163.com)","School of Electronic Information, Yangtze University, Jingzhou, 434023 China","National Demonstration Center for Experimental Electrical & Electronic Education, Yangtze University, Jingzhou, 434023 China","West Institute, Yangtze University, Kelamayi, 834000 China"],"raw_orcid":"https://orcid.org/0000-0003-3991-2771","affiliations":[{"raw_affiliation_string":"School of Electronic Information, Yangtze University, Jingzhou, 434023 China and National Demonstration Center for Experimental Electrical & Electronic Education, Yangtze University, Jingzhou, 434023 China and West Institute, Yangtze University, Kelamayi, 834000 China. (e-mail: pami2009@163.com)","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"School of Electronic Information, Yangtze University, Jingzhou, 434023 China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"National Demonstration Center for Experimental Electrical & Electronic Education, Yangtze University, Jingzhou, 434023 China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"West Institute, Yangtze University, Kelamayi, 834000 China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101621115","display_name":"Peng Wu","orcid":"https://orcid.org/0000-0002-2276-5616"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wu","raw_affiliation_strings":["School of Electronic Information, Yangtze University, Jingzhou, 434023 China and National Demonstration Center for Experimental Electrical & Electronic Education, Yangtze University, Jingzhou, 434023 China"],"raw_orcid":"https://orcid.org/0000-0002-2276-5616","affiliations":[{"raw_affiliation_string":"School of Electronic Information, Yangtze University, Jingzhou, 434023 China and National Demonstration Center for Experimental Electrical & Electronic Education, Yangtze University, Jingzhou, 434023 China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100769571","display_name":"Xinyu Zhang","orcid":"https://orcid.org/0000-0002-2838-1445"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin-Yu Zhang","raw_affiliation_strings":["School of Electronic Information, Yangtze University, Jingzhou, 434023 China and National Demonstration Center for Experimental Electrical & Electronic Education, Yangtze University, Jingzhou, 434023 China and West Institute, Yangtze University, Kelamayi, 834000 China"],"raw_orcid":"https://orcid.org/0000-0002-2838-1445","affiliations":[{"raw_affiliation_string":"School of Electronic Information, Yangtze University, Jingzhou, 434023 China and National Demonstration Center for Experimental Electrical & Electronic Education, Yangtze University, Jingzhou, 434023 China and West Institute, Yangtze University, Kelamayi, 834000 China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086789945","display_name":"Chang Wen","orcid":"https://orcid.org/0000-0001-7339-3130"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Wen","raw_affiliation_strings":["West Institute, Yangtze University, Kelamayi, 834000 China and School of Computer Science, Yangtze University, Jingzhou, 434023 China"],"raw_orcid":"https://orcid.org/0000-0001-7339-3130","affiliations":[{"raw_affiliation_string":"West Institute, Yangtze University, Kelamayi, 834000 China and School of Computer Science, Yangtze University, Jingzhou, 434023 China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036815945","display_name":"Jianbiao He","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Biao He","raw_affiliation_strings":["School of Computer Science and engineering, Central South University, Changsha 410083, China"],"raw_orcid":"https://orcid.org/0000-0002-4057-6712","affiliations":[{"raw_affiliation_string":"School of Computer Science and engineering, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101866618"],"corresponding_institution_ids":["https://openalex.org/I177739611"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4849,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.65787053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"141245","last_page":"141257"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9739999771118164,"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/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8024538159370422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7804930806159973},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6584415435791016},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6295738220214844},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5586336255073547},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5450740456581116},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.54256272315979},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5403483510017395},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5339086651802063},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.5115733742713928},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5001702308654785},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44194841384887695},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4247701168060303},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42044878005981445},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22461837530136108},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15438306331634521}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8024538159370422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7804930806159973},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6584415435791016},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6295738220214844},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5586336255073547},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5450740456581116},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.54256272315979},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5403483510017395},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5339086651802063},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.5115733742713928},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5001702308654785},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44194841384887695},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4247701168060303},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42044878005981445},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22461837530136108},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15438306331634521},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3119615","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3119615","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09568882.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:9245a4f1672f4a498dbb24c8438eedbb","is_oa":true,"landing_page_url":"https://doaj.org/article/9245a4f1672f4a498dbb24c8438eedbb","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 9, Pp 141245-141257 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3119615","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3119615","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09568882.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":[{"id":"https://metadata.un.org/sdg/16","score":0.44999998807907104,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3570680640","display_name":null,"funder_award_id":"2019099","funder_id":"https://openalex.org/F4320324773","funder_display_name":"Yangtze University"},{"id":"https://openalex.org/G3990606817","display_name":null,"funder_award_id":"YJY201909","funder_id":"https://openalex.org/F4320324773","funder_display_name":"Yangtze University"},{"id":"https://openalex.org/G4333067202","display_name":null,"funder_award_id":"JY2019011","funder_id":"https://openalex.org/F4320324773","funder_display_name":"Yangtze University"},{"id":"https://openalex.org/G433462169","display_name":null,"funder_award_id":"2020D01A131","funder_id":"https://openalex.org/F4320328898","funder_display_name":"Natural Science Foundation of Xinjiang"},{"id":"https://openalex.org/G4964724338","display_name":null,"funder_award_id":"202110489003","funder_id":"https://openalex.org/F4320336008","funder_display_name":"National College Students Innovation and Entrepreneurship Training Program"},{"id":"https://openalex.org/G8841182944","display_name":null,"funder_award_id":"Yz2020057","funder_id":"https://openalex.org/F4320324773","funder_display_name":"Yangtze University"}],"funders":[{"id":"https://openalex.org/F4320324773","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54"},{"id":"https://openalex.org/F4320328898","display_name":"Natural Science Foundation of Xinjiang","ror":null},{"id":"https://openalex.org/F4320336008","display_name":"National College Students Innovation and Entrepreneurship Training Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3207392793.pdf","grobid_xml":"https://content.openalex.org/works/W3207392793.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W204612701","https://openalex.org/W1522301498","https://openalex.org/W1643185111","https://openalex.org/W1686810756","https://openalex.org/W1855204404","https://openalex.org/W1896788142","https://openalex.org/W2012885984","https://openalex.org/W2032558548","https://openalex.org/W2038952578","https://openalex.org/W2042001204","https://openalex.org/W2042177521","https://openalex.org/W2047508432","https://openalex.org/W2047875689","https://openalex.org/W2088028039","https://openalex.org/W2095911385","https://openalex.org/W2096733369","https://openalex.org/W2142578527","https://openalex.org/W2144578817","https://openalex.org/W2145287260","https://openalex.org/W2147806277","https://openalex.org/W2149382413","https://openalex.org/W2157725521","https://openalex.org/W2194775991","https://openalex.org/W2330274280","https://openalex.org/W2540768567","https://openalex.org/W2548780814","https://openalex.org/W2589255576","https://openalex.org/W2592172288","https://openalex.org/W2737644856","https://openalex.org/W2785994986","https://openalex.org/W2790865359","https://openalex.org/W2927589841","https://openalex.org/W2949662773","https://openalex.org/W2957744218","https://openalex.org/W2963377935","https://openalex.org/W2963420686","https://openalex.org/W2963644257","https://openalex.org/W2963703618","https://openalex.org/W2964014798","https://openalex.org/W2964121744","https://openalex.org/W2964171387","https://openalex.org/W2999520425","https://openalex.org/W3022951770","https://openalex.org/W3092537075","https://openalex.org/W3099206234","https://openalex.org/W3101998545","https://openalex.org/W3104792420","https://openalex.org/W6608207920","https://openalex.org/W6631190155","https://openalex.org/W6636704036","https://openalex.org/W6637373629","https://openalex.org/W6638958570","https://openalex.org/W6662335928","https://openalex.org/W6681822596","https://openalex.org/W6734054962","https://openalex.org/W6743446608","https://openalex.org/W6748053814","https://openalex.org/W6785117583"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W4391621807","https://openalex.org/W2498789492","https://openalex.org/W4387967917","https://openalex.org/W2990636717"],"abstract_inverted_index":{"Head":[0],"pose":[1],"estimation":[2],"based":[3,39],"on":[4,40,104],"a":[5,9,29,41,90,96],"single":[6,42],"image":[7,43],"is":[8],"challenging":[10],"endeavor":[11],"because":[12],"of":[13,20,67,82,114,125,131,138],"the":[14,21,46,50,65,68,79,105,123,129],"complex":[15],"background":[16],"conditions":[17],"and":[18,54,73,92,107,116],"characteristics":[19],"human":[22],"face.":[23],"In":[24,45,119],"this":[25],"report,":[26],"we":[27,48,121],"propose":[28],"Multi":[30],"stage":[31],"Regression-Capsule":[32],"Network":[33],"(MR-CapsNet)":[34],"to":[35,57,77,88],"predict":[36,147],"head":[37,148],"posture":[38],"input.":[44],"study,":[47],"used":[49],"residual":[51],"attention":[52],"block":[53,56],"squeeze-and-excitation":[55],"extract":[58],"features":[59,83],"in":[60,86,128],"three":[61],"levels.":[62],"CapsNet":[63],"overcomes":[64],"shortcomings":[66],"traditional":[69],"convolutional":[70],"neural":[71],"network":[72],"implements":[74],"module":[75],"aggregation":[76],"describe":[78],"spatial":[80],"relationship":[81],"after":[84],"aggregation,":[85],"addition":[87],"realizing":[89],"compact":[91],"robust":[93],"model":[94],"using":[95],"multi-stage":[97],"regression":[98],"scheme.":[99],"We":[100],"tested":[101],"our":[102,126,143],"method":[103,127,144],"AFLW2000":[106],"BIWI":[108],"datasets":[109],"obtaining":[110],"mean":[111],"absolute":[112],"errors":[113],"4.26%":[115],"3.95%,":[117],"respectively.":[118],"addition,":[120],"discuss":[122],"accuracy":[124],"case":[130],"eye":[132],"or":[133],"mouth":[134],"occlusion.":[135],"The":[136],"results":[137],"comprehensive":[139],"experiments":[140],"reveal":[141],"that":[142],"can":[145],"accurately":[146],"posture.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
