{"id":"https://openalex.org/W4293371013","doi":"https://doi.org/10.1109/access.2022.3201894","title":"Finger Joint Angle Estimation With Visual Attention for Rehabilitation Support: A Case Study of the Chopsticks Manipulation Test","display_name":"Finger Joint Angle Estimation With Visual Attention for Rehabilitation Support: A Case Study of the Chopsticks Manipulation Test","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4293371013","doi":"https://doi.org/10.1109/access.2022.3201894"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3201894","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3201894","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09867997.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/ielx7/6287639/6514899/09867997.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001380601","display_name":"Adnan Rachmat Anom Besari","orcid":"https://orcid.org/0000-0001-5916-5019"},"institutions":[{"id":"https://openalex.org/I23758234","display_name":"Universitas Negeri Surabaya","ror":"https://ror.org/01jf74q70","country_code":"ID","type":"education","lineage":["https://openalex.org/I23758234"]},{"id":"https://openalex.org/I4387153613","display_name":"Politeknik Elektronika Negeri Surabaya","ror":"https://ror.org/00cf3sf89","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153613"]},{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["ID","JP"],"is_corresponding":true,"raw_author_name":"Adnan Rachmat Anom Besari","raw_affiliation_strings":["Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan","Department of Information and Computer Engineering, Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Department of Information and Computer Engineering, Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia","institution_ids":["https://openalex.org/I23758234","https://openalex.org/I4387153613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005008013","display_name":"Azhar Aulia Saputra","orcid":"https://orcid.org/0000-0001-9027-8935"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Azhar Aulia Saputra","raw_affiliation_strings":["Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103276500","display_name":"Wei Hong Chin","orcid":"https://orcid.org/0000-0002-8592-9315"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wei Hong Chin","raw_affiliation_strings":["Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001560598","display_name":"Kurnianingsih Kurnianingsih","orcid":null},"institutions":[{"id":"https://openalex.org/I148158369","display_name":"State University of Semarang","ror":"https://ror.org/02fsk7e17","country_code":"ID","type":"education","lineage":["https://openalex.org/I148158369"]},{"id":"https://openalex.org/I4388891846","display_name":"Politeknik Negeri Semarang","ror":"https://ror.org/04xwxtp60","country_code":null,"type":"education","lineage":["https://openalex.org/I4388891846"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Kurnianingsih","raw_affiliation_strings":["Department of Electrical Engineering, Politeknik Negeri Semarang, Semarang, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Politeknik Negeri Semarang, Semarang, Indonesia","institution_ids":["https://openalex.org/I148158369","https://openalex.org/I4388891846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074076109","display_name":"Naoyuki Kubota","orcid":"https://orcid.org/0000-0001-8829-037X"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoyuki Kubota","raw_affiliation_strings":["Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001380601"],"corresponding_institution_ids":["https://openalex.org/I23758234","https://openalex.org/I4387153613","https://openalex.org/I69740276"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0311,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.77110486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"91316","last_page":"91331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.720384418964386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6555737853050232},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5193239450454712},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.5104033350944519},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.434002548456192},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.43255677819252014},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.4224432110786438},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.41558173298835754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3757326602935791},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20756053924560547},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1941024363040924}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.720384418964386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6555737853050232},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5193239450454712},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.5104033350944519},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.434002548456192},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.43255677819252014},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.4224432110786438},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.41558173298835754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3757326602935791},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20756053924560547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1941024363040924},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3201894","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3201894","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09867997.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:41d84c118eba42718aaffcf144a1e6a9","is_oa":true,"landing_page_url":"https://doaj.org/article/41d84c118eba42718aaffcf144a1e6a9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 91316-91331 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3201894","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3201894","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09867997.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":[{"id":"https://openalex.org/G12401395","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"},{"id":"https://openalex.org/G272228011","display_name":null,"funder_award_id":"R&amp","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"},{"id":"https://openalex.org/G4611969921","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G4864544293","display_name":null,"funder_award_id":"Japan","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G4965348387","display_name":null,"funder_award_id":"JPMJMS2034","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G5543296614","display_name":null,"funder_award_id":"JPMJMS20","funder_id":"https://openalex.org/F4320338247","funder_display_name":"Moonshot Research and Development Program"},{"id":"https://openalex.org/G7485138276","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G7693551792","display_name":null,"funder_award_id":"(MEXT)","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"},{"id":"https://openalex.org/G8044579487","display_name":null,"funder_award_id":"Japan","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"},{"id":"https://openalex.org/G8884929826","display_name":null,"funder_award_id":"JPMJMS2034","funder_id":"https://openalex.org/F4320338247","funder_display_name":"Moonshot Research and Development Program"}],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320338247","display_name":"Moonshot Research and Development Program","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293371013.pdf","grobid_xml":"https://content.openalex.org/works/W4293371013.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W1541599871","https://openalex.org/W2021973291","https://openalex.org/W2082316887","https://openalex.org/W2093483632","https://openalex.org/W2125391287","https://openalex.org/W2554528730","https://openalex.org/W2581069224","https://openalex.org/W2623254503","https://openalex.org/W2745001359","https://openalex.org/W2766816079","https://openalex.org/W2781124761","https://openalex.org/W2792164665","https://openalex.org/W2795916972","https://openalex.org/W2800614044","https://openalex.org/W2809997536","https://openalex.org/W2811286022","https://openalex.org/W2884269894","https://openalex.org/W2886839146","https://openalex.org/W2892212547","https://openalex.org/W2895569459","https://openalex.org/W2898498580","https://openalex.org/W2903055584","https://openalex.org/W2922041470","https://openalex.org/W2944572808","https://openalex.org/W2946325917","https://openalex.org/W2951609365","https://openalex.org/W2955232259","https://openalex.org/W2962275530","https://openalex.org/W2978172845","https://openalex.org/W2994662721","https://openalex.org/W2997514173","https://openalex.org/W2998510742","https://openalex.org/W3000702892","https://openalex.org/W3005043204","https://openalex.org/W3023405914","https://openalex.org/W3023677725","https://openalex.org/W3038223595","https://openalex.org/W3042359868","https://openalex.org/W3095490132","https://openalex.org/W3110846197","https://openalex.org/W3117005796","https://openalex.org/W3120116793","https://openalex.org/W3124407342","https://openalex.org/W3127491803","https://openalex.org/W3129212412","https://openalex.org/W3138279112","https://openalex.org/W3154664959","https://openalex.org/W3155228510","https://openalex.org/W3157280810","https://openalex.org/W3158806526","https://openalex.org/W3158928992","https://openalex.org/W3164468069","https://openalex.org/W3171014072","https://openalex.org/W3173633729","https://openalex.org/W3175471845","https://openalex.org/W3193836661","https://openalex.org/W3203671590","https://openalex.org/W3204109536","https://openalex.org/W3207358740","https://openalex.org/W3209559888","https://openalex.org/W4213150867","https://openalex.org/W4221082244","https://openalex.org/W4225573229","https://openalex.org/W4236697021","https://openalex.org/W4285219132","https://openalex.org/W4297538660","https://openalex.org/W6632457973","https://openalex.org/W6797650318"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W3188646203","https://openalex.org/W2909957174","https://openalex.org/W4246278799","https://openalex.org/W136674370","https://openalex.org/W2105527480","https://openalex.org/W2052387497","https://openalex.org/W2050203848","https://openalex.org/W2050191802"],"abstract_inverted_index":{"Most":[0],"East":[1],"Asian":[2],"rehabilitation":[3],"centers":[4],"offer":[5],"chopsticks":[6,161],"manipulation":[7],"tests":[8],"(CMT).":[9],"In":[10],"addition":[11],"to":[12,25,65,85,158,200,224],"impaired":[13],"hand":[14,214],"function,":[15],"approximately":[16],"two-thirds":[17],"of":[18,33,53,91,149,196,206],"stroke":[19],"survivors":[20],"have":[21],"visual":[22,41,131],"impairment":[23],"related":[24],"eye":[26,216],"movement.":[27],"This":[28],"article":[29],"investigates":[30],"the":[31,67,72,76,87,92,95,101,108,121,138,147,168,191,197,201,204,238],"significance":[32],"combining":[34],"finger":[35,69,93,110],"joint":[36,105,175],"angle":[37,106,176],"estimation":[38,177],"and":[39,56,89,184,194,215,227,241],"a":[40,48,61,126,142,163],"attention":[42,132,181],"measurement":[43],"in":[44,213,237],"CMT.":[45,134,219],"We":[46,59,135,220],"present":[47],"multiscopic":[49],"framework":[50,99,140],"that":[51,145,233],"consists":[52],"microscopic,":[54],"mesoscopic,":[55],"macroscopic":[57,122],"levels.":[58],"develop":[60],"feature":[62],"extraction":[63],"technique":[64],"extract":[66],"kinematic":[68],"model":[70],"at":[71,246],"microscopic":[73],"level.":[74],"At":[75,120],"mesoscopic":[77],"level,":[78,123],"we":[79,124,170],"propose":[80],"an":[81],"active":[82],"perception":[83],"ability":[84,128],"detect":[86],"position":[88],"geometry":[90],"on":[94,107],"chopsticks.":[96],"The":[97],"proposed":[98,139],"estimates":[100],"proximal":[102],"interphalangeal":[103],"(PIP)":[104],"index":[109],"during":[111,133,218],"CMT":[112],"using":[113,160],"fully":[114],"connected":[115],"cascade":[116],"neural":[117],"networks":[118],"(FCC-NN).":[119],"implement":[125],"cognitive":[127],"by":[129,189,229],"measuring":[130],"further":[136],"evaluate":[137],"with":[141],"conventional":[143],"test":[144],"counts":[146],"number":[148],"peanuts":[150],"(NP)":[151],"which":[152],"are":[153,243],"moved":[154],"from":[155],"one":[156],"bowl":[157],"another":[159],"within":[162],"particular":[164],"time":[165],"frame.":[166],"For":[167],"evaluation,":[169],"introduce":[171],"three":[172,208],"parameters,":[173],"namely":[174],"movement":[178,182,187],"(JAEM),":[179],"chopstick":[180,185],"(CAM),":[183],"tip":[186],"(CTM),":[188],"detecting":[190],"local":[192],"minima":[193],"maxima":[195],"signal.":[198],"According":[199],"experiment":[202],"results,":[203],"velocity":[205],"these":[207],"parameters":[209],"could":[210],"indicate":[211],"improvement":[212],"function":[217],"expect":[221],"this":[222],"study":[223],"benefit":[225],"therapists":[226],"researchers":[228],"providing":[230],"valuable":[231],"information":[232],"is":[234],"not":[235],"accessible":[236],"clinic.":[239],"Code":[240],"datasets":[242],"available":[244],"online":[245],"https://github.com/anom-tmu/cmt-attention.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2022-08-28T00:00:00"}