{"id":"https://openalex.org/W2150730874","doi":"https://doi.org/10.1109/robio.2010.5723534","title":"Development of a cognition system for analyzing rat's behaviors","display_name":"Development of a cognition system for analyzing rat's behaviors","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2150730874","doi":"https://doi.org/10.1109/robio.2010.5723534","mag":"2150730874"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2010.5723534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2010.5723534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Robotics and Biomimetics","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/A5011265988","display_name":"Qing Shi","orcid":"https://orcid.org/0009-0009-6112-0309"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Qing Shi","raw_affiliation_strings":["School of Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052293247","display_name":"Shunsyuke Miyagishima","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shunsyuke Miyagishima","raw_affiliation_strings":["School of Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001792964","display_name":"Shogo Fumino","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shogo Fumino","raw_affiliation_strings":["School of Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070583423","display_name":"Shinichiro Konno","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinichiro Konno","raw_affiliation_strings":["School of Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064928700","display_name":"Hiroyuki Ishii","orcid":"https://orcid.org/0000-0002-5776-2423"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Ishii","raw_affiliation_strings":["Faculty of Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075328170","display_name":"Atsuo Takanishi","orcid":"https://orcid.org/0009-0009-9388-9278"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsuo Takanishi","raw_affiliation_strings":["Faculty of Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5011265988"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.4595,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.58068539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1399","last_page":"1404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10077","display_name":"Neuroscience and Neuropharmacology Research","score":0.8985000252723694,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10077","display_name":"Neuroscience and Neuropharmacology Research","score":0.8985000252723694,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/T11685","display_name":"Zebrafish Biomedical Research Applications","score":0.8970000147819519,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.8628000020980835,"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/support-vector-machine","display_name":"Support vector machine","score":0.7788407206535339},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6547832489013672},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6377017498016357},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6148288249969482},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.6009089946746826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5662040710449219},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5467795133590698},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.49328821897506714},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4259258508682251},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41773349046707153},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4132775664329529},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4042522609233856}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7788407206535339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6547832489013672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6377017498016357},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6148288249969482},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.6009089946746826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5662040710449219},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5467795133590698},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.49328821897506714},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4259258508682251},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41773349046707153},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4132775664329529},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4042522609233856},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2010.5723534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2010.5723534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Robotics and Biomimetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1521516098","https://openalex.org/W1604622487","https://openalex.org/W1970229951","https://openalex.org/W1996763590","https://openalex.org/W2002281388","https://openalex.org/W2018254857","https://openalex.org/W2021915249","https://openalex.org/W2044598059","https://openalex.org/W2066892877","https://openalex.org/W2087347434","https://openalex.org/W2087358714","https://openalex.org/W2091012021","https://openalex.org/W2119821739","https://openalex.org/W2123923673","https://openalex.org/W2153176807","https://openalex.org/W2153635508","https://openalex.org/W2168330220","https://openalex.org/W2168795031","https://openalex.org/W3120421331","https://openalex.org/W4239510810","https://openalex.org/W6636095020"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W1980100242","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W4315815996"],"abstract_inverted_index":{"The":[0,62],"interaction":[1],"experiment,":[2],"between":[3],"a":[4,7,32,47],"robot":[5],"and":[6,29,39,74,86,103,121,136,152,162],"rat,":[8],"will":[9],"benefit":[10],"significantly":[11],"when":[12],"the":[13,27,44,71,113,133],"rat's":[14,33,106],"actions":[15,34,55,138],"can":[16],"be":[17,36,140],"recognized":[18,141],"automatically":[19],"in":[20,59],"real":[21],"time.":[22],"Regarding":[23],"quantitative":[24],"behavior":[25],"analysis,":[26],"number":[28],"duration":[30],"of":[31,52,65,77,105,117],"should":[35],"measured":[37],"efficiently":[38],"accurately.":[40],"Therefore,":[41],"aiming":[42],"at":[43],"above-mentioned":[45],"objectives,":[46],"novel":[48],"cognition":[49,67],"system":[50,68,127],"capable":[51],"detecting":[53],"rats'":[54,78],"has":[56],"been":[57],"proposed":[58],"this":[60,66],"paper.":[61],"main":[63],"function":[64],"lies":[69],"on":[70],"real-time":[72],"recognition":[73,160],"offline":[75],"analysis":[76],"behaviors.":[79],"Basic":[80],"image":[81],"processing":[82],"algorithm":[83],"as":[84,112],"Labeling":[85],"Contour":[87],"Finding":[88],"were":[89],"employed":[90],"to":[91,155],"extract":[92],"feature":[93,115],"parameters":[94,109],"(body":[95],"length,":[96],"body":[97,99],"area,":[98],"radius,":[100],"rotational":[101],"angle,":[102],"ellipticity)":[104],"actions.":[107],"These":[108],"are":[110],"integrated":[111],"input":[114],"vector":[116],"NN":[118,151],"(Neural":[119],"Network)":[120],"SVM":[122,157],"(Support":[123],"Vector":[124],"Machine)":[125],"training":[126],"respectively.":[128],"Preliminary":[129],"experiments":[130],"reveal":[131],"that":[132],"grooming,":[134],"rotating":[135],"rearing":[137],"could":[139],"with":[142],"extremely":[143],"high":[144],"rate":[145,161],"(more":[146],"than":[147],"90%)":[148],"by":[149],"both":[150],"SVM.":[153],"Compared":[154],"NN,":[156],"provides":[158],"better":[159],"less":[163],"computational":[164],"cost.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
