{"id":"https://openalex.org/W2972471999","doi":"https://doi.org/10.1109/bhi.2019.8834569","title":"Augmenting Frame-based with Window-based Features for C. elegans Movement Classification","display_name":"Augmenting Frame-based with Window-based Features for C. elegans Movement Classification","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2972471999","doi":"https://doi.org/10.1109/bhi.2019.8834569","mag":"2972471999"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2019.8834569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2019.8834569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","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/A5001453271","display_name":"Jennifer Piane","orcid":null},"institutions":[{"id":"https://openalex.org/I118353179","display_name":"DePaul University","ror":"https://ror.org/04xtx5t16","country_code":"US","type":"education","lineage":["https://openalex.org/I118353179"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jennifer Piane","raw_affiliation_strings":["School of Computing, DePaul University, Chicago, Illinois, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing, DePaul University, Chicago, Illinois, USA","institution_ids":["https://openalex.org/I118353179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100775828","display_name":"Yiyang Wang","orcid":"https://orcid.org/0000-0002-3863-0767"},"institutions":[{"id":"https://openalex.org/I118353179","display_name":"DePaul University","ror":"https://ror.org/04xtx5t16","country_code":"US","type":"education","lineage":["https://openalex.org/I118353179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiyang Wang","raw_affiliation_strings":["School of Computing, DePaul University, Chicago, Illinois, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing, DePaul University, Chicago, Illinois, USA","institution_ids":["https://openalex.org/I118353179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077769280","display_name":"Timothy P. Cheung","orcid":"https://orcid.org/0000-0003-2821-7124"},"institutions":[{"id":"https://openalex.org/I189273616","display_name":"Rosalind Franklin University of Medicine and Science","ror":"https://ror.org/04fegvg32","country_code":"US","type":"education","lineage":["https://openalex.org/I189273616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Timothy Cheung","raw_affiliation_strings":["Chicago Medical School, Rosalind Franklin University, North Chicago, Illinois, USA"],"affiliations":[{"raw_affiliation_string":"Chicago Medical School, Rosalind Franklin University, North Chicago, Illinois, USA","institution_ids":["https://openalex.org/I189273616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101999034","display_name":"Hongkyun Kim","orcid":"https://orcid.org/0000-0002-4879-7122"},"institutions":[{"id":"https://openalex.org/I189273616","display_name":"Rosalind Franklin University of Medicine and Science","ror":"https://ror.org/04fegvg32","country_code":"US","type":"education","lineage":["https://openalex.org/I189273616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongkyun Kim","raw_affiliation_strings":["Chicago Medical School, Rosalind Franklin University, North Chicago, Illinois, USA"],"affiliations":[{"raw_affiliation_string":"Chicago Medical School, Rosalind Franklin University, North Chicago, Illinois, USA","institution_ids":["https://openalex.org/I189273616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001027068","display_name":"Jacob Furst","orcid":null},"institutions":[{"id":"https://openalex.org/I118353179","display_name":"DePaul University","ror":"https://ror.org/04xtx5t16","country_code":"US","type":"education","lineage":["https://openalex.org/I118353179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob Furst","raw_affiliation_strings":["School of Computing, DePaul University, Chicago, Illinois, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing, DePaul University, Chicago, Illinois, USA","institution_ids":["https://openalex.org/I118353179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005267835","display_name":"Daniela Raicu","orcid":"https://orcid.org/0000-0002-2165-7234"},"institutions":[{"id":"https://openalex.org/I118353179","display_name":"DePaul University","ror":"https://ror.org/04xtx5t16","country_code":"US","type":"education","lineage":["https://openalex.org/I118353179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniela Raicu","raw_affiliation_strings":["School of Computing, DePaul University, Chicago, Illinois, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing, DePaul University, Chicago, Illinois, USA","institution_ids":["https://openalex.org/I118353179"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5001453271"],"corresponding_institution_ids":["https://openalex.org/I118353179"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08138958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10676","display_name":"Genetics, Aging, and Longevity in Model Organisms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1302","display_name":"Aging"},"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"}},"topics":[{"id":"https://openalex.org/T10676","display_name":"Genetics, Aging, and Longevity in Model Organisms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1302","display_name":"Aging"},"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/computer-science","display_name":"Computer science","score":0.7558547258377075},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.7485508918762207},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.7203211784362793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6938610076904297},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.6107673048973083},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5896095037460327},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5012874603271484},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4739508628845215},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.45595410466194153},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.43563514947891235},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43014806509017944},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4272158443927765},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.42476218938827515}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558547258377075},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.7485508918762207},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.7203211784362793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6938610076904297},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.6107673048973083},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5896095037460327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5012874603271484},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4739508628845215},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.45595410466194153},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.43563514947891235},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43014806509017944},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4272158443927765},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.42476218938827515},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi.2019.8834569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2019.8834569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1977591411","https://openalex.org/W2006615800","https://openalex.org/W2054444499","https://openalex.org/W2125402857","https://openalex.org/W2130760852","https://openalex.org/W2137659599","https://openalex.org/W2148143831","https://openalex.org/W2150389271","https://openalex.org/W2151969485","https://openalex.org/W2197804964","https://openalex.org/W2295460112","https://openalex.org/W2577482104","https://openalex.org/W2891695800"],"related_works":["https://openalex.org/W2109115373","https://openalex.org/W2390901981","https://openalex.org/W2353818951","https://openalex.org/W1605879311","https://openalex.org/W2611980620","https://openalex.org/W4230691760","https://openalex.org/W2385763735","https://openalex.org/W4391923333","https://openalex.org/W3014558862","https://openalex.org/W150851721"],"abstract_inverted_index":{"To":[0],"understand":[1],"and":[2,15,21,28,39,53,89,107,109,115],"model":[3],"the":[4,7,50,54,84,116],"functions":[5],"of":[6,80,87],"nervous":[8],"system,":[9],"behavior":[10,31],"characteristics":[11],"have":[12,23,68],"been":[13,24],"quantified":[14],"measured":[16],"in":[17,35,77,129],"C.":[18,99],"elegans.":[19],"Images":[20],"videos":[22],"used":[25],"to":[26,63,71,124],"extract":[27,64],"analyze":[29],"movement":[30,40,73,127],"given":[32],"their":[33],"richness":[34],"capturing":[36],"morphological":[37],"differences":[38],"dynamics,":[41],"respectively.":[42],"In":[43],"this":[44],"study,":[45],"we":[46,60,96],"show":[47],"that":[48,67,75,98],"exploiting":[49],"temporal":[51],"properties":[52],"dynamics":[55],"provided":[56],"by":[57],"video":[58,135],"data,":[59],"are":[61],"able":[62],"window-based":[65,90],"features":[66,91],"enough":[69],"power":[70],"quantify":[72],"states":[74,128],"appear":[76],"a":[78],"sequence":[79],"frames.":[81],"By":[82],"combining":[83],"full":[85],"set":[86],"frame-based":[88],"with":[92],"machine":[93],"learning":[94],"algorithms,":[95],"demonstrate":[97],"elegans'":[100],"movements":[101],"such":[102],"as":[103],"forward,":[104],"turn,":[105],"pause,":[106],"short":[108],"long":[110],"reversals":[111],"can":[112,119],"be":[113,121],"modeled,":[114],"classification":[117],"models":[118],"further":[120],"successfully":[122],"applied":[123],"predict":[125],"these":[126],"other":[130],"N2":[131],"wild-type":[132],"or":[133],"mutant":[134],"recordings.":[136]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}