{"id":"https://openalex.org/W4393058933","doi":"https://doi.org/10.1109/gcwkshps58843.2023.10465052","title":"Context-Aware Hard and Slow Fall Detection","display_name":"Context-Aware Hard and Slow Fall Detection","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4393058933","doi":"https://doi.org/10.1109/gcwkshps58843.2023.10465052"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps58843.2023.10465052","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcwkshps58843.2023.10465052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5055489876","display_name":"Sinda Besrour","orcid":null},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sinda Besrour","raw_affiliation_strings":["University of Moncton,Department of Computer Science","Department of Computer Science, University of Moncton"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Moncton,Department of Computer Science","institution_ids":["https://openalex.org/I154799132"]},{"raw_affiliation_string":"Department of Computer Science, University of Moncton","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076580590","display_name":"Gael S. Mubibya","orcid":null},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Gael S. Mubibya","raw_affiliation_strings":["University of Moncton,Department of Computer Science","Department of Computer Science, University of Moncton"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Moncton,Department of Computer Science","institution_ids":["https://openalex.org/I154799132"]},{"raw_affiliation_string":"Department of Computer Science, University of Moncton","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053727169","display_name":"Zikuan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zikuan Liu","raw_affiliation_strings":["University of New-Brunswick"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New-Brunswick","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111912045","display_name":"Jalal Almhana","orcid":null},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jalal Almhana","raw_affiliation_strings":["University of Moncton,Department of Computer Science","Department of Computer Science, University of Moncton"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Moncton,Department of Computer Science","institution_ids":["https://openalex.org/I154799132"]},{"raw_affiliation_string":"Department of Computer Science, University of Moncton","institution_ids":["https://openalex.org/I154799132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27453465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9962999820709229,"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":0.9962999820709229,"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":0.9753000140190125,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.6296916007995605},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6245051026344299},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11690840125083923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6296916007995605},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6245051026344299},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11690840125083923},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps58843.2023.10465052","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcwkshps58843.2023.10465052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Globecom Workshops (GC Wkshps)","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":22,"referenced_works":["https://openalex.org/W2017803470","https://openalex.org/W2035675395","https://openalex.org/W2145026237","https://openalex.org/W2146291834","https://openalex.org/W2164147466","https://openalex.org/W2565299706","https://openalex.org/W2622527139","https://openalex.org/W2738611661","https://openalex.org/W2802084776","https://openalex.org/W2898658045","https://openalex.org/W2945362095","https://openalex.org/W2974089011","https://openalex.org/W2980068604","https://openalex.org/W3003341797","https://openalex.org/W3082661649","https://openalex.org/W3111543755","https://openalex.org/W3182792505","https://openalex.org/W3216540786","https://openalex.org/W4292230836","https://openalex.org/W4302575380","https://openalex.org/W4385187201","https://openalex.org/W4385478187"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Fall":[0],"is":[1,66],"one":[2],"of":[3,7,73,78,126,180,196],"the":[4,10,25,49,171,194],"main":[5],"causes":[6],"injuries":[8],"for":[9,16],"elderly":[11],"and":[12,28,53,61,102,104,129,146,165],"fall":[13,120,130,136,177],"detection":[14,178],"(FD)":[15],"senior":[17],"monitoring":[18],"has":[19,35],"received":[20],"considerable":[21],"attention":[22],"from":[23],"both":[24],"academic":[26],"community":[27],"healthcare":[29],"industries.":[30],"In":[31,122],"recent":[32],"years,":[33],"there":[34],"been":[36],"an":[37],"increasing":[38],"interest":[39],"in":[40,89,117,203],"using":[41],"wearable":[42],"sensors,":[43],"such":[44],"as":[45],"accelerometers":[46],"to":[47,59,69,84,99,134,141,149,170,188,193],"monitor":[48],"subject's":[50],"body":[51],"movement":[52],"apply":[54,147],"Machine":[55],"Learning":[56],"(ML)":[57],"methods":[58],"detect":[60,150],"prevent":[62],"falls.":[63],"Since":[64],"it":[65],"extremely":[67],"difficult":[68],"collect":[70,93],"accelerometer":[71],"data":[72,137,140],"real":[74,119],"falls":[75,88,101,151,191],"during":[76],"activities":[77],"daily":[79],"living":[80],"(ADL),":[81],"researchers":[82],"tended":[83],"rely":[85],"on":[86],"simulating":[87],"well-protected":[90],"environments.":[91],"They":[92],"ADL":[94,128,139],"separately,":[95],"applied":[96,116,169],"ML":[97,148,154],"algorithms":[98,155],"classify":[100],"ADL,":[103],"reported":[105],"very":[106],"high":[107],"FD":[108],"accuracy":[109,179],"rates.":[110],"However,":[111],"these":[112],"studies":[113],"cannot":[114],"be":[115],"a":[118,176],"context.":[121],"this":[123],"paper,":[124],"instead":[125],"classifying":[127],"online,":[131],"we":[132],"propose":[133],"incorporate":[135],"within":[138],"obtain":[142],"more":[143],"realistic":[144],"datasets":[145],"online.":[152],"Several":[153],"including":[156],"CatBoost":[157],"(CB),":[158],"Decision":[159],"Tree":[160],"(DT),":[161],"Random":[162],"Forest":[163],"(RF),":[164],"XGBoost":[166],"(XGB),":[167],"were":[168],"datasets.":[172],"Experimental":[173],"results":[174],"show":[175],"88.70":[181],"%.":[182],"We":[183],"also":[184],"extend":[185],"our":[186,197],"work":[187],"cover":[189],"slow":[190],"which,":[192],"best":[195],"knowledge,":[198],"was":[199],"not":[200],"extensively":[201],"addressed":[202],"previous":[204],"works.":[205]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}