{"id":"https://openalex.org/W2544830965","doi":"https://doi.org/10.1109/latincom.2014.7041879","title":"Human fall detection with smartphones","display_name":"Human fall detection with smartphones","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2544830965","doi":"https://doi.org/10.1109/latincom.2014.7041879","mag":"2544830965"},"language":"en","primary_location":{"id":"doi:10.1109/latincom.2014.7041879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom.2014.7041879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Latin-America Conference on Communications (LATINCOM)","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/A5010001856","display_name":"Luis N. Valcourt Colon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158873","display_name":"University of Puerto Rico at Bayam\u00f3n","ror":"https://ror.org/058hjkk82","country_code":"PR","type":"education","lineage":["https://openalex.org/I200399037","https://openalex.org/I4210158873"]}],"countries":["PR"],"is_corresponding":true,"raw_author_name":"Luis N. Valcourt Colon","raw_affiliation_strings":["Department of Computer Science and Engineering, Universidad de Puerto Rico, Bayamon, PR"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Universidad de Puerto Rico, Bayamon, PR","institution_ids":["https://openalex.org/I4210158873"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055393561","display_name":"Yueng Delahoz","orcid":null},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yueng DeLaHoz","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Florida, Tampa, FL"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Florida, Tampa, FL","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031247099","display_name":"Miguel A. Labrador","orcid":"https://orcid.org/0000-0001-5416-7496"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miguel Labrador","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Florida, Tampa, FL"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Florida, Tampa, FL","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010001856"],"corresponding_institution_ids":["https://openalex.org/I4210158873"],"apc_list":null,"apc_paid":null,"fwci":0.9755,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.81783176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9911999702453613,"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/T12406","display_name":"IoT and GPS-based Vehicle Safety Systems","score":0.9703999757766724,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6087837219238281},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.33831408619880676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6087837219238281},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.33831408619880676}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/latincom.2014.7041879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom.2014.7041879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Latin-America Conference on Communications (LATINCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2054780155","https://openalex.org/W2120999040","https://openalex.org/W2130629933","https://openalex.org/W2167718059","https://openalex.org/W4250606563"],"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":{"According":[0],"to":[1,21,26,53,68,86,102,162],"the":[2,15,58,80,88,91,94,119,137,153],"CDC":[3],"(Centers":[4],"for":[5],"Disease":[6],"Control":[7],"and":[8,40,101,131,181],"Prevention),":[9],"one":[10],"in":[11,93,133],"three":[12,160],"people":[13,31],"over":[14],"age":[16],"of":[17,29,38,60,90,122,148],"65":[18],"are":[19],"likely":[20],"experience":[22],"a":[23,76,164,169],"fall.":[24],"Twenty":[25],"thirty":[27],"percent":[28],"these":[30],"sustain":[32],"injuries":[33],"such":[34],"as":[35],"fractures,":[36],"loss":[37],"independence,":[39],"even":[41],"death":[42],"[1].":[43],"Fall":[44],"detection":[45,114,155,172],"is":[46,116,129,139],"an":[47,66,178,186],"active":[48],"research":[49],"area":[50],"that":[51],"strives":[52],"improve":[54],"people's":[55],"lives":[56],"through":[57],"use":[59],"pervasive":[61],"computing.":[62],"This":[63],"paper":[64],"presents":[65],"approach":[67],"detect":[69,163],"falls":[70],"based":[71],"on":[72,112],"data":[73],"gathered":[74],"from":[75,152],"smartphone.":[77],"It":[78],"utilizes":[79],"smartphone's":[81],"built-in":[82],"sensors":[83,123],"(accelerometer,":[84],"gyroscope)":[85],"identify":[87],"location":[89],"cellphone":[92],"user's":[95],"body":[96],"(chest,":[97],"pocket,":[98],"holster,":[99],"etc),":[100],"find":[103],"known":[104,142],"patterns":[105],"associated":[106],"with":[107,168,177,185],"falls.":[108],"A":[109,145],"general":[110],"description":[111],"fall":[113,154,165,171],"systems":[115],"provided,":[117],"including":[118],"different":[120],"types":[121],"used":[124],"nowadays.":[125],"The":[126,158],"proposed":[127,156],"solution":[128],"presented":[130],"described":[132],"great":[134],"detail.":[135],"Finally,":[136],"system":[138],"assessed":[140],"using":[141],"performance":[143],"indicators.":[144],"total":[146],"accuracy":[147],"81.3%":[149],"was":[150],"calculated":[151],"algorithm.":[157],"top":[159],"locations":[161],"were:":[166],"texting":[167],"95.8%":[170],"accuracy,":[173,180],"pants'":[174],"side":[175],"pocket":[176,184],"87.5%":[179],"shirt":[182],"chest's":[183],"83.3%":[187],"accuracy.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
