{"id":"https://openalex.org/W4406611602","doi":"https://doi.org/10.1109/smc54092.2024.10831665","title":"Immobility Recognition System in Tail Suspension Test Using Single Camera and Deep Learning","display_name":"Immobility Recognition System in Tail Suspension Test Using Single Camera and Deep Learning","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4406611602","doi":"https://doi.org/10.1109/smc54092.2024.10831665"},"language":"en","primary_location":{"id":"doi:10.1109/smc54092.2024.10831665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5090822902","display_name":"Hiroyuki Oikawa","orcid":"https://orcid.org/0000-0001-5216-0813"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"H. Oikawa","raw_affiliation_strings":["Tokyo University of Science, Noda,Chiba,Japan,278-8510"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Noda,Chiba,Japan,278-8510","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076909018","display_name":"Daisuke Kobayashi","orcid":"https://orcid.org/0000-0001-7614-9707"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"D. Kobayashi","raw_affiliation_strings":["Tokyo University of Science, Noda,Chiba,Japan,278-8510"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Noda,Chiba,Japan,278-8510","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102872710","display_name":"Masataka Yamamoto","orcid":"https://orcid.org/0000-0002-0499-7026"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Yamamoto","raw_affiliation_strings":["Tokyo University of Science, Noda,Chiba,Japan,278-8510"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Noda,Chiba,Japan,278-8510","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072691123","display_name":"Atsushi Hagiwara","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"A. Hagiwara","raw_affiliation_strings":["Tokyo University of Science, Noda,Chiba,Japan,278-8510"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Noda,Chiba,Japan,278-8510","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029548362","display_name":"Hiroshi Takemura","orcid":"https://orcid.org/0000-0003-0434-3142"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Takemura","raw_affiliation_strings":["Tokyo University of Science, Noda,Chiba,Japan,278-8510"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Noda,Chiba,Japan,278-8510","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090822902"],"corresponding_institution_ids":["https://openalex.org/I161296585"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3878453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"268","last_page":"272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9211999773979187,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9211999773979187,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9043999910354614,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.637206494808197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6161085367202759},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5853201150894165},{"id":"https://openalex.org/keywords/suspension","display_name":"Suspension (topology)","score":0.5291027426719666},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5235952138900757},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4664921760559082},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38188838958740234},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10747790336608887},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10430070757865906}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.637206494808197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6161085367202759},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5853201150894165},{"id":"https://openalex.org/C105341887","wikidata":"https://www.wikidata.org/wiki/Q1307987","display_name":"Suspension (topology)","level":3,"score":0.5291027426719666},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5235952138900757},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4664921760559082},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38188838958740234},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10747790336608887},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10430070757865906},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C5961521","wikidata":"https://www.wikidata.org/wiki/Q746083","display_name":"Homotopy","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc54092.2024.10831665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319274","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1965984522","https://openalex.org/W2005594217","https://openalex.org/W2037111632","https://openalex.org/W2074724278","https://openalex.org/W2086554774","https://openalex.org/W2106299403","https://openalex.org/W2131167630","https://openalex.org/W2144279829","https://openalex.org/W3202311222","https://openalex.org/W4200581136","https://openalex.org/W4251472959","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2579949583","https://openalex.org/W4255711316","https://openalex.org/W2731899572","https://openalex.org/W2476675662","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W2131736595"],"abstract_inverted_index":{"The":[0,88,126],"tail":[1],"suspension":[2],"test":[3,11],"(TST)":[4],"is":[5,29,58],"a":[6,24,34,73,83,117],"widely":[7],"used":[8],"mouse":[9,104],"behavioral":[10,139],"to":[12,60,137,147],"evaluate":[13],"the":[14,20,49,55,62,67,97],"efficacy":[15],"of":[16,22,54,66,99,121],"antidepressant":[17],"drugs.":[18],"While":[19],"measurement":[21],"immobility,":[23],"key":[25],"metric":[26],"in":[27,149],"TST,":[28],"often":[30],"manually":[31],"scored":[32],"by":[33,116],"human":[35],"investigator,":[36],"an":[37,142],"automated":[38,56],"video":[39],"analysis":[40,57,76],"system":[41,89,107,129],"provides":[42],"more":[43],"consistent":[44],"and":[45,52,64,102,145],"objective":[46],"scoring.":[47],"However,":[48],"proper":[50],"validation":[51],"optimization":[53],"crucial":[59],"ensure":[61],"reliability":[63],"validity":[65],"TST":[68],"results.":[69],"In":[70],"this":[71],"study,":[72],"deep":[74,92,131],"learning":[75,93,132],"successfully":[77],"achieved":[78],"accurate":[79],"immobility":[80,109],"recording":[81],"using":[82],"single":[84],"domestic":[85],"camera":[86],"observation.":[87],"employs":[90],"two":[91],"models,":[94],"allowing":[95],"for":[96],"evaluation":[98],"temporal":[100],"movement":[101],"static":[103],"postures.":[105],"This":[106],"demonstrates":[108],"recognition":[110],"with":[111,123],"exceptional":[112],"precision,":[113],"as":[114],"evidenced":[115],"correlation":[118],"coefficient":[119],"(r)":[120],"0.990":[122],"manual":[124],"annotations.":[125],"newly":[127],"developed":[128],"employing":[130],"models":[133],"can":[134],"be":[135],"applied":[136],"other":[138],"tests,":[140],"providing":[141],"unbiased":[143],"approach":[144],"contributing":[146],"advancements":[148],"various":[150],"neurological":[151],"research.":[152]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}