{"id":"https://openalex.org/W3204252794","doi":"https://doi.org/10.3390/s21196485","title":"Optimal Training Configurations of a CNN-LSTM-Based Tracker for a Fall Frame Detection System","display_name":"Optimal Training Configurations of a CNN-LSTM-Based Tracker for a Fall Frame Detection System","publication_year":2021,"publication_date":"2021-09-28","ids":{"openalex":"https://openalex.org/W3204252794","doi":"https://doi.org/10.3390/s21196485","mag":"3204252794","pmid":"https://pubmed.ncbi.nlm.nih.gov/34640803"},"language":"en","primary_location":{"id":"doi:10.3390/s21196485","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196485","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6485/pdf?version=1633022188","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/19/6485/pdf?version=1633022188","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015101057","display_name":"Nur Ayuni Mohamed","orcid":"https://orcid.org/0000-0003-1683-7449"},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nur Ayuni Mohamed","raw_affiliation_strings":["Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Selangor 43600, Malaysia"],"raw_orcid":"https://orcid.org/0000-0003-1683-7449","affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Selangor 43600, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054106321","display_name":"Mohd Asyraf Zulkifley","orcid":"https://orcid.org/0000-0002-4010-3990"},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Mohd Asyraf Zulkifley","raw_affiliation_strings":["Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Selangor 43600, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-4010-3990","affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Selangor 43600, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078357335","display_name":"Ahmad Asrul Ibrahim","orcid":"https://orcid.org/0000-0003-4997-3578"},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ahmad Asrul Ibrahim","raw_affiliation_strings":["Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Selangor 43600, Malaysia"],"raw_orcid":"https://orcid.org/0000-0003-4997-3578","affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Selangor 43600, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088969327","display_name":"Aouache Mustapha","orcid":"https://orcid.org/0000-0003-1629-1183"},"institutions":[{"id":"https://openalex.org/I4210102186","display_name":"Centre de D\u00e9veloppement des Technologies Avanc\u00e9es","ror":"https://ror.org/01ay87255","country_code":"DZ","type":"facility","lineage":["https://openalex.org/I4210102186"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Mustapha Aouache","raw_affiliation_strings":["Centre de Developpement des Technologies Avancees, Division Telecom, Baba-Hassen, Algiers 16303, Algeria"],"raw_orcid":"https://orcid.org/0000-0003-1629-1183","affiliations":[{"raw_affiliation_string":"Centre de Developpement des Technologies Avancees, Division Telecom, Baba-Hassen, Algiers 16303, Algeria","institution_ids":["https://openalex.org/I4210102186"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054106321"],"corresponding_institution_ids":["https://openalex.org/I885383172"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.7758,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74081666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"21","issue":"19","first_page":"6485","last_page":"6485"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9950000047683716,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9786999821662903,"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/frame","display_name":"Frame (networking)","score":0.7506895065307617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6626653671264648},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6592462062835693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5843311548233032},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.460484117269516},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.33038365840911865},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06919005513191223},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06636986136436462}],"concepts":[{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.7506895065307617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6626653671264648},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6592462062835693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5843311548233032},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.460484117269516},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33038365840911865},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06919005513191223},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06636986136436462},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21196485","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196485","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6485/pdf?version=1633022188","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34640803","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34640803","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:5c6d563ae74a4f808d6cea04bfde88df","is_oa":true,"landing_page_url":"https://doaj.org/article/5c6d563ae74a4f808d6cea04bfde88df","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 19, p 6485 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/19/6485/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21196485","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 19; Pages: 6485","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8512416","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8512416","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21196485","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196485","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6485/pdf?version=1633022188","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1602313174","display_name":null,"funder_award_id":"FRGS/1/2019/ICT02/ UKM/02/1","funder_id":"https://openalex.org/F4320321709","funder_display_name":"Ministry of Higher Education, Malaysia"},{"id":"https://openalex.org/G41019017","display_name":null,"funder_award_id":"GUP-2019-008","funder_id":"https://openalex.org/F4320322699","funder_display_name":"Universiti Kebangsaan Malaysia"}],"funders":[{"id":"https://openalex.org/F4320321709","display_name":"Ministry of Higher Education, Malaysia","ror":"https://ror.org/05mcs2t73"},{"id":"https://openalex.org/F4320322699","display_name":"Universiti Kebangsaan Malaysia","ror":"https://ror.org/00bw8d226"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3204252794.pdf","grobid_xml":"https://content.openalex.org/works/W3204252794.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W1857884451","https://openalex.org/W1994616650","https://openalex.org/W2042568090","https://openalex.org/W2094512386","https://openalex.org/W2146502635","https://openalex.org/W2154579312","https://openalex.org/W2163605009","https://openalex.org/W2164147466","https://openalex.org/W2282158307","https://openalex.org/W2292787148","https://openalex.org/W2414900880","https://openalex.org/W2516506354","https://openalex.org/W2517710169","https://openalex.org/W2592090957","https://openalex.org/W2617110182","https://openalex.org/W2618530766","https://openalex.org/W2738593047","https://openalex.org/W2756233686","https://openalex.org/W2767362598","https://openalex.org/W2772973030","https://openalex.org/W2783960515","https://openalex.org/W2791268924","https://openalex.org/W2793136243","https://openalex.org/W2793348051","https://openalex.org/W2794284562","https://openalex.org/W2795798228","https://openalex.org/W2800342439","https://openalex.org/W2883703234","https://openalex.org/W2888217180","https://openalex.org/W2892291584","https://openalex.org/W2913466142","https://openalex.org/W2913971859","https://openalex.org/W2949035377","https://openalex.org/W2950883524","https://openalex.org/W2963173190","https://openalex.org/W2964241613","https://openalex.org/W2965752339","https://openalex.org/W2990113630","https://openalex.org/W2990464502","https://openalex.org/W2992250439","https://openalex.org/W2999741152","https://openalex.org/W3000500483","https://openalex.org/W3002388925","https://openalex.org/W3003481805","https://openalex.org/W3013959047","https://openalex.org/W3016321512","https://openalex.org/W3020589325","https://openalex.org/W3024360358","https://openalex.org/W3028379480","https://openalex.org/W3033771837","https://openalex.org/W3034342478","https://openalex.org/W3082194139","https://openalex.org/W3083654920","https://openalex.org/W3088738441","https://openalex.org/W3094934666","https://openalex.org/W3095065117","https://openalex.org/W3096292656","https://openalex.org/W3105750503","https://openalex.org/W3106397858","https://openalex.org/W3113591947","https://openalex.org/W3125830393","https://openalex.org/W3128372336","https://openalex.org/W3131114568","https://openalex.org/W3134111008","https://openalex.org/W3134730293","https://openalex.org/W3135062470","https://openalex.org/W3135714820","https://openalex.org/W3135873896","https://openalex.org/W3136824686","https://openalex.org/W3145612716","https://openalex.org/W3158053678","https://openalex.org/W3176593182","https://openalex.org/W3212932887","https://openalex.org/W6681435938","https://openalex.org/W6684191040","https://openalex.org/W6725990282","https://openalex.org/W6763407235","https://openalex.org/W6778184235"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"there":[3],"has":[4,404],"been":[5],"an":[6,84,129,288],"immense":[7],"amount":[8],"of":[9,42,78,124,155,164,190,211,216,271,277,322,356,371],"research":[10],"into":[11],"fall":[12,17,43,53,60,79,86,103,116,173,243,283,310,398,424],"event":[13,18,61],"detection.":[14],"Generally,":[15],"a":[16,22,26,32,59,63,75,106,193,291,309,317,379,414],"is":[19,36,62,70,91,97,110,148,158,237,285,316],"defined":[20],"as":[21,45,47,94,118,204,320,427],"situation":[23],"in":[24,105,393],"which":[25,90,167],"person":[27],"unintentionally":[28],"drops":[29],"down":[30],"onto":[31],"lower":[33],"surface.":[34],"It":[35,109],"crucial":[37,111,423],"to":[38,74,93,99,112,127,132,150,221,226,238,297,366,410,420],"detect":[39,100],"the":[40,95,101,114,121,125,134,144,152,156,188,223,228,233,240,247,252,259,275,298,302,323,332,338,347,368,383,395,401,433],"occurrence":[41],"events":[44],"early":[46,130,434],"possible":[48],"so":[49],"that":[50,66,69,177,267,290,417],"any":[51,422],"severe":[52],"consequences":[54,137,425],"can":[55,305,436],"be":[56,306,411,437],"minimized.":[57],"Nonetheless,":[58],"sporadic":[64],"incidence":[65],"occurs":[67],"seldomly":[68],"falsely":[71],"detected":[72],"due":[73],"wide":[76],"range":[77],"conditions":[80],"and":[81,138,171,214,274,343,353,359,408,429],"situations.":[82],"Therefore,":[83,400],"automated":[85],"frame":[87,104,117,174,244,284],"detection":[88,175,329],"system,":[89],"referred":[92],"SmartConvFall":[96,157,162,315,336,363,403],"proposed":[98,161,314,402],"exact":[102,115,241,281,396],"video":[107],"sequence.":[108],"know":[113],"it":[119],"dictates":[120],"response":[122],"time":[123,392],"system":[126],"administer":[128],"treatment":[131,435],"reduce":[133],"fall's":[135],"negative":[136],"related":[139],"injuries.":[140],"Henceforth,":[141],"searching":[142],"for":[143,413],"optimal":[145],"training":[146,201,212,265],"configurations":[147,202,266],"imperative":[149],"ensure":[151],"main":[153],"goal":[154,236],"achieved.":[159],"The":[160,183,280,313,335,362],"consists":[163],"two":[165],"parts,":[166],"are":[168,218],"object":[169,189,249],"tracking":[170,333,372],"instantaneous":[172,242,282,397],"modules":[176],"rely":[178],"on":[179,328],"deep":[180],"learning":[181,206],"representations.":[182],"first":[184],"stage":[185],"will":[186,262],"track":[187],"interest":[191,217],"using":[192,251,287],"fully":[194],"convolutional":[195],"neural":[196],"network":[197],"(CNN)":[198],"tracker.":[199],"Various":[200],"such":[203,426],"optimizer,":[205],"rate,":[207],"mini-batch":[208],"size,":[209],"number":[210,276,370],"samples,":[213],"region":[215],"individually":[219],"evaluated":[220],"determine":[222,239],"best":[224,229],"configuration":[225],"produce":[227,367],"tracker":[230],"model.":[231],"Meanwhile,":[232],"second":[234,390],"module":[235],"by":[245],"modeling":[246],"continuous":[248],"trajectories":[250],"Long":[253],"Short-Term":[254],"Memory":[255],"(LSTM)":[256],"network.":[257],"Similarly,":[258],"LSTM":[260,381],"model":[261],"undergo":[263],"various":[264],"cover":[268],"different":[269],"types":[270],"features":[272],"selection":[273],"stacked":[278],"layers.":[279],"determined":[286],"assumption":[289],"large":[292],"movement":[293],"difference":[294],"with":[295,346,374,387],"respect":[296],"ground":[299],"level":[300],"along":[301],"vertical":[303],"axis":[304],"observed":[307],"if":[308,432],"incident":[311],"happened.":[312],"novel":[318],"technique":[319],"most":[321],"existing":[324],"methods":[325],"still":[326],"relying":[327],"rather":[330],"than":[331],"module.":[334],"outperforms":[337],"state-of-the-art":[339],"trackers,":[340,345],"namely":[341],"TCNN":[342],"MDNET-N":[344],"highest":[348],"expected":[349],"average":[350],"overlap,":[351],"robustness,":[352],"reliability":[354],"metrics":[355],"0.1619,":[357],"0.6323,":[358],"0.7958,":[360],"respectively.":[361],"also":[364],"managed":[365],"lowest":[369,384],"failures":[373],"only":[375],"43":[376],"occasions.":[377],"Moreover,":[378],"three-stack":[380],"delivers":[382],"mean":[385],"error":[386],"approximately":[388],"one":[389],"delay":[391],"locating":[394],"frame.":[399],"demonstrated":[405],"its":[406],"potential":[407],"suitability":[409],"implemented":[412],"real-time":[415],"application":[416],"could":[418],"help":[419],"avoid":[421],"death":[428],"internal":[430],"bleeding":[431],"administered.":[438]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}