{"id":"https://openalex.org/W2564870917","doi":"https://doi.org/10.1109/uemcon.2016.7777912","title":"Online process phase detection using multimodal deep learning","display_name":"Online process phase detection using multimodal deep learning","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2564870917","doi":"https://doi.org/10.1109/uemcon.2016.7777912","mag":"2564870917","pmid":"https://pubmed.ncbi.nlm.nih.gov/30357017"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon.2016.7777912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2016.7777912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 7th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6196033","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100406079","display_name":"Xinyu Li","orcid":"https://orcid.org/0000-0001-5398-3707"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xinyu Li","raw_affiliation_strings":["Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003300255","display_name":"Yanyi Zhang","orcid":"https://orcid.org/0000-0001-5238-1712"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanyi Zhang","raw_affiliation_strings":["Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020650589","display_name":"Mengzhu Li","orcid":"https://orcid.org/0000-0002-7404-9152"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengzhu Li","raw_affiliation_strings":["Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010187139","display_name":"Shuhong Chen","orcid":"https://orcid.org/0000-0002-6120-6358"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuhong Chen","raw_affiliation_strings":["Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021191393","display_name":"Farneth R. Austin","orcid":null},"institutions":[{"id":"https://openalex.org/I1336742384","display_name":"Children's National","ror":"https://ror.org/03wa2q724","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1336742384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farneth R. Austin","raw_affiliation_strings":["Children's National Medical Center, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Children's National Medical Center, Washington, DC, USA","institution_ids":["https://openalex.org/I1336742384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068126329","display_name":"Ivan Marsic","orcid":"https://orcid.org/0000-0002-1033-6865"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ivan Marsic","raw_affiliation_strings":["Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002966813","display_name":"Randall S. Burd","orcid":"https://orcid.org/0000-0003-4465-9117"},"institutions":[{"id":"https://openalex.org/I1336742384","display_name":"Children's National","ror":"https://ror.org/03wa2q724","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1336742384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Randall S. Burd","raw_affiliation_strings":["Children's National Medical Center, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Children's National Medical Center, Washington, DC, USA","institution_ids":["https://openalex.org/I1336742384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100406079"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":4.4172,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.95175771,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.6796977519989014},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5753026008605957},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5598539113998413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4754202961921692},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.4618339538574219},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33885592222213745},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07919701933860779}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6796977519989014},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5753026008605957},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5598539113998413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4754202961921692},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.4618339538574219},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33885592222213745},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07919701933860779},{"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/uemcon.2016.7777912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2016.7777912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 7th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"},{"id":"pmid:30357017","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30357017","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":"Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), IEEE Annual","raw_type":null},{"id":"pmh:oai:europepmc.org:5142410","is_oa":false,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6196033","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6196033","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6196033","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ubiquitous Comput Electron Mob Commun Conf (UEMCON) IEEE Annu","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:6196033","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6196033","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ubiquitous Comput Electron Mob Commun Conf (UEMCON) IEEE Annu","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1575873342","https://openalex.org/W1582583989","https://openalex.org/W1825675169","https://openalex.org/W1968405646","https://openalex.org/W1995562189","https://openalex.org/W1997430507","https://openalex.org/W2016053056","https://openalex.org/W2041742273","https://openalex.org/W2062826588","https://openalex.org/W2095705004","https://openalex.org/W2102605133","https://openalex.org/W2105369247","https://openalex.org/W2107466310","https://openalex.org/W2127893047","https://openalex.org/W2128214434","https://openalex.org/W2163605009","https://openalex.org/W2184188583","https://openalex.org/W2414118053","https://openalex.org/W2461441172","https://openalex.org/W2600249726","https://openalex.org/W2963956866","https://openalex.org/W2964121744","https://openalex.org/W4396952261","https://openalex.org/W6638389677","https://openalex.org/W6674330103","https://openalex.org/W6684191040","https://openalex.org/W6686207219","https://openalex.org/W6735088243"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3046775127","https://openalex.org/W3082895349"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,28,52,67],"multimodal":[3,37],"deep-learning":[4],"structure":[5,40],"that":[6],"automatically":[7],"predicts":[8],"phases":[9],"of":[10],"the":[11,21,63],"trauma":[12,78],"resuscitation":[13,79],"process":[14],"in":[15],"real-time.":[16],"The":[17,56,72],"system":[18],"first":[19],"pre-processes":[20],"audio":[22,45],"and":[23,33,44,83],"video":[24,43],"streams":[25],"captured":[26],"by":[27],"Kinect's":[29],"built-in":[30],"microphone":[31],"array":[32],"depth":[34],"sensor.":[35],"A":[36],"deep":[38],"learning":[39],"then":[41,60],"extracts":[42],"features,":[46],"which":[47],"are":[48],"later":[49],"combined":[50,64],"through":[51,66],"\"slow":[53],"fusion\"":[54],"model.":[55],"final":[57],"decision":[58],"is":[59],"made":[61],"from":[62],"features":[65],"modified":[68],"softmax":[69],"classification":[70],"layer.":[71],"model":[73],"was":[74,84],"trained":[75],"on":[76,86],"20":[77],"cases":[80],"(>13":[81],"hours),":[82],"tested":[85],"5":[87],"other":[88],"cases.":[89],"Our":[90],"results":[91],"showed":[92],"over":[93],"80%":[94],"online":[95],"detection":[96],"accuracy":[97],"with":[98],"0.7":[99],"F-Score,":[100],"outperforming":[101],"previous":[102],"systems.":[103]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":8}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
