{"id":"https://openalex.org/W2979466380","doi":"https://doi.org/10.1109/embc.2019.8857807","title":"Assessment of Laboratory Mouse Activity in Video Recordings Using Deep Learning Methods","display_name":"Assessment of Laboratory Mouse Activity in Video Recordings Using Deep Learning Methods","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2979466380","doi":"https://doi.org/10.1109/embc.2019.8857807","mag":"2979466380","pmid":"https://pubmed.ncbi.nlm.nih.gov/31946673"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2019.8857807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8857807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5061663719","display_name":"Marcin Kopaczka","orcid":"https://orcid.org/0000-0002-3695-4696"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Marcin Kopaczka","raw_affiliation_strings":["Institute of Imaging and Computer Vision, RWTH Aachen University, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Imaging and Computer Vision, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076695107","display_name":"Daniel Tillmann","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Tillmann","raw_affiliation_strings":["Institute of Imaging and Computer Vision, RWTH Aachen University, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Imaging and Computer Vision, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026368207","display_name":"Lisa Ernst","orcid":"https://orcid.org/0000-0003-3808-4222"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lisa Ernst","raw_affiliation_strings":["Institute of Imaging and Computer Vision, RWTH Aachen University, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Imaging and Computer Vision, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077459898","display_name":"Justus Schock","orcid":"https://orcid.org/0000-0003-0512-3053"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Justus Schock","raw_affiliation_strings":["Institute of Imaging and Computer Vision, RWTH Aachen University, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Imaging and Computer Vision, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010710149","display_name":"Ren\u00e9 H. Tolba","orcid":"https://orcid.org/0000-0002-0383-3994"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rene Tolba","raw_affiliation_strings":["Institute of Imaging and Computer Vision, RWTH Aachen University, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Imaging and Computer Vision, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064747056","display_name":"Dorit Merhof","orcid":"https://orcid.org/0000-0002-1672-2185"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dorit Merhof","raw_affiliation_strings":["Institute of Imaging and Computer Vision, RWTH Aachen University, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Imaging and Computer Vision, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061663719"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":0.4982,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.63296705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2019","issue":null,"first_page":"3673","last_page":"3676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.9606000185012817,"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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9508000016212463,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular 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"}}],"keywords":[{"id":"https://openalex.org/keywords/clips","display_name":"CLIPS","score":0.8572483062744141},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7674074172973633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6959718465805054},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6405544281005859},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5750455856323242},{"id":"https://openalex.org/keywords/animal-behavior","display_name":"Animal behavior","score":0.5125586986541748},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4723093509674072},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4478887617588043},{"id":"https://openalex.org/keywords/behavioral-analysis","display_name":"Behavioral analysis","score":0.43099963665008545},{"id":"https://openalex.org/keywords/video-recording","display_name":"Video recording","score":0.4180606007575989},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3806939721107483},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.1979506015777588},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07370245456695557}],"concepts":[{"id":"https://openalex.org/C2778739407","wikidata":"https://www.wikidata.org/wiki/Q165372","display_name":"CLIPS","level":2,"score":0.8572483062744141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7674074172973633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6959718465805054},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6405544281005859},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5750455856323242},{"id":"https://openalex.org/C2988419192","wikidata":"https://www.wikidata.org/wiki/Q7155","display_name":"Animal behavior","level":2,"score":0.5125586986541748},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4723093509674072},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4478887617588043},{"id":"https://openalex.org/C2989277270","wikidata":"https://www.wikidata.org/wiki/Q168338","display_name":"Behavioral analysis","level":2,"score":0.43099963665008545},{"id":"https://openalex.org/C2988634675","wikidata":"https://www.wikidata.org/wiki/Q34508","display_name":"Video recording","level":2,"score":0.4180606007575989},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3806939721107483},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.1979506015777588},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07370245456695557},{"id":"https://openalex.org/C90856448","wikidata":"https://www.wikidata.org/wiki/Q431","display_name":"Zoology","level":1,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001522","descriptor_name":"Behavior, Animal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001522","descriptor_name":"Behavior, Animal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001522","descriptor_name":"Behavior, Animal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc.2019.8857807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8857807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:31946673","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31946673","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:publications.rwth-aachen.de:805068","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-2020-10712%22","pdf_url":null,"source":{"id":"https://openalex.org/S4306401033","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Piscataway, NJ : IEEE 3673-3676 (2019). doi:10.1109/EMBC.2019.8857807","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1655460658","https://openalex.org/W1998290119","https://openalex.org/W2020098484","https://openalex.org/W2025500109","https://openalex.org/W2027713233","https://openalex.org/W2031468801","https://openalex.org/W2069459352","https://openalex.org/W2080093346","https://openalex.org/W2156303437","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2899010463","https://openalex.org/W6682864246","https://openalex.org/W6756228663"],"related_works":["https://openalex.org/W3117049863","https://openalex.org/W3109092792","https://openalex.org/W4256438247","https://openalex.org/W2085851886","https://openalex.org/W2067110860","https://openalex.org/W3091945188","https://openalex.org/W1716366748","https://openalex.org/W2910902913","https://openalex.org/W2037408406","https://openalex.org/W4213149512"],"abstract_inverted_index":{"Analysis":[0],"of":[1,7,17,20,49,92,96,114,120,122],"laboratory":[2,21],"animal":[3,8,115],"behavior":[4,116],"allows":[5,111],"assessment":[6,113],"wellbeing.":[9],"We":[10],"present":[11],"a":[12,74],"method":[13,72],"for":[14],"the":[15,67,84,107],"classification":[16],"different":[18,55],"activities":[19],"mice":[22,123],"by":[23,117],"analyzing":[24],"video":[25,41],"clips":[26,42],"using":[27],"three":[28,54],"deep":[29],"learning":[30],"methods.":[31],"Animals":[32],"placed":[33],"in":[34],"observation":[35,125],"cages":[36],"are":[37,43,63],"filmed":[38],"and":[39],"short":[40],"labelled":[44],"as":[45,81,83,101],"belonging":[46],"to":[47,65],"one":[48],"five":[50],"defined":[51],"behaviors.":[52],"Subsequently,":[53],"methods":[56],"based":[57],"on":[58,124],"convolutional":[59],"neural":[60],"networks":[61],"(CNNS)":[62],"applied":[64],"classify":[66],"clips.":[68],"The":[69],"best":[70],"performing":[71],"-":[73,88],"two-stream":[75],"network":[76],"that":[77,106],"analyzes":[78],"individual":[79],"frames":[80],"well":[82],"video's":[85],"optical":[86],"flow":[87],"achieves":[89],"an":[90],"accuracy":[91],"86.4%,":[93],"including":[94],"detection":[95],"important":[97],"behavioral":[98],"patterns":[99],"such":[100],"self-grooming.":[102],"These":[103],"results":[104],"show":[105],"presented":[108],"analysis":[109,119],"protocol":[110],"automated":[112],"algorithmic":[118],"videos":[121],"boxes.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}