{"id":"https://openalex.org/W3003591518","doi":"https://doi.org/10.1109/indin41052.2019.8972246","title":"Fall Detection with Supervised Machine Learning using Wearable Sensors","display_name":"Fall Detection with Supervised Machine Learning using Wearable Sensors","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3003591518","doi":"https://doi.org/10.1109/indin41052.2019.8972246","mag":"3003591518"},"language":"en","primary_location":{"id":"doi:10.1109/indin41052.2019.8972246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin41052.2019.8972246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","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/A5082706819","display_name":"Davide Giuffrida","orcid":null},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]},{"id":"https://openalex.org/I4210127672","display_name":"Engineering (Italy)","ror":"https://ror.org/045s9b323","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210127672"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Davide Giuffrida","raw_affiliation_strings":["Computer and Biomedical Engineering University of Pavia,Dept. of Electrical,Pavia,Italy","Dept. of Electrical, Computer and Biomedical Engineering University of Pavia, Pavia, Italy"],"affiliations":[{"raw_affiliation_string":"Computer and Biomedical Engineering University of Pavia,Dept. of Electrical,Pavia,Italy","institution_ids":["https://openalex.org/I25217355","https://openalex.org/I4210127672"]},{"raw_affiliation_string":"Dept. of Electrical, Computer and Biomedical Engineering University of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040749117","display_name":"Guido Benetti","orcid":"https://orcid.org/0000-0002-6524-0203"},"institutions":[{"id":"https://openalex.org/I4210127672","display_name":"Engineering (Italy)","ror":"https://ror.org/045s9b323","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210127672"]},{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Guido Benetti","raw_affiliation_strings":["Computer and Biomedical Engineering University of Pavia,Dept. of Electrical,Pavia,Italy","Dept. of Electrical, Computer and Biomedical Engineering University of Pavia, Pavia, Italy"],"affiliations":[{"raw_affiliation_string":"Computer and Biomedical Engineering University of Pavia,Dept. of Electrical,Pavia,Italy","institution_ids":["https://openalex.org/I25217355","https://openalex.org/I4210127672"]},{"raw_affiliation_string":"Dept. of Electrical, Computer and Biomedical Engineering University of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074335131","display_name":"Daniele De Martini","orcid":"https://orcid.org/0000-0001-6121-5839"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]},{"id":"https://openalex.org/I4210146410","display_name":"Science Oxford","ror":"https://ror.org/04j8yhy50","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I4210146410"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniele De Martini","raw_affiliation_strings":["Oxford Robotics Institute University of Oxford,Oxford,UK","Oxford Robotics Institute University of Oxford, Oxford, UK"],"affiliations":[{"raw_affiliation_string":"Oxford Robotics Institute University of Oxford,Oxford,UK","institution_ids":["https://openalex.org/I4210146410"]},{"raw_affiliation_string":"Oxford Robotics Institute University of Oxford, Oxford, UK","institution_ids":["https://openalex.org/I4210146410","https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064289997","display_name":"Tullio Facchinetti","orcid":"https://orcid.org/0000-0003-0221-6123"},"institutions":[{"id":"https://openalex.org/I4210127672","display_name":"Engineering (Italy)","ror":"https://ror.org/045s9b323","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210127672"]},{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Tullio Facchinetti","raw_affiliation_strings":["Computer and Biomedical Engineering University of Pavia,Dept. of Electrical,Pavia,Italy","Dept. of Electrical, Computer and Biomedical Engineering University of Pavia, Pavia, Italy"],"affiliations":[{"raw_affiliation_string":"Computer and Biomedical Engineering University of Pavia,Dept. of Electrical,Pavia,Italy","institution_ids":["https://openalex.org/I25217355","https://openalex.org/I4210127672"]},{"raw_affiliation_string":"Dept. of Electrical, Computer and Biomedical Engineering University of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082706819"],"corresponding_institution_ids":["https://openalex.org/I25217355","https://openalex.org/I4210127672"],"apc_list":null,"apc_paid":null,"fwci":1.3159,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.84930916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"253","last_page":"259"},"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":0.9782999753952026,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9381999969482422,"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/support-vector-machine","display_name":"Support vector machine","score":0.7909284830093384},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.7735783457756042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7606545686721802},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7305184006690979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.697955846786499},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.606319785118103},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.582960844039917},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5376402735710144},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5204582214355469},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.4184534549713135},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.41829609870910645},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4106261134147644},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3951084315776825},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.13276568055152893},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10271549224853516}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7909284830093384},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.7735783457756042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7606545686721802},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7305184006690979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.697955846786499},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.606319785118103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.582960844039917},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5376402735710144},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5204582214355469},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.4184534549713135},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.41829609870910645},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4106261134147644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3951084315776825},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.13276568055152893},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10271549224853516},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin41052.2019.8972246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin41052.2019.8972246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2007678436","https://openalex.org/W2007717933","https://openalex.org/W2011179414","https://openalex.org/W2023688148","https://openalex.org/W2067939071","https://openalex.org/W2076068958","https://openalex.org/W2085630382","https://openalex.org/W2101234009","https://openalex.org/W2101286829","https://openalex.org/W2125153556","https://openalex.org/W2151642109","https://openalex.org/W2206426646","https://openalex.org/W2270470215","https://openalex.org/W2309009081","https://openalex.org/W2543632018","https://openalex.org/W2728156197","https://openalex.org/W2735430014","https://openalex.org/W2770071357","https://openalex.org/W2998216295","https://openalex.org/W3101657545","https://openalex.org/W4236110830","https://openalex.org/W4285719527","https://openalex.org/W6675354045","https://openalex.org/W6929283186","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2356006086","https://openalex.org/W2545168295","https://openalex.org/W2365897603","https://openalex.org/W4234814094","https://openalex.org/W2156308897","https://openalex.org/W4303613760","https://openalex.org/W2361871310","https://openalex.org/W2417246878","https://openalex.org/W1982154684","https://openalex.org/W2404620998"],"abstract_inverted_index":{"Unintentional":[0],"falls":[1,84,111],"can":[2],"cause":[3],"severe":[4],"injuries":[5],"to":[6,27,35],"a":[7,32,46,71,92,101,163],"person,":[8],"and":[9,34,37,55,58,66,80,112,128,162],"even":[10],"death,":[11],"especially":[12],"when":[13],"no":[14],"immediate":[15],"assistance":[16],"is":[17,26,91,98,117],"provided.":[18],"The":[19,68,89,115],"aim":[20],"of":[21,31,73,77],"Fall":[22],"Detection":[23],"Systems":[24],"(FDSs)":[25],"detect":[28],"the":[29,40,78,120,131,135,138,141,146,152],"occurrence":[30],"fall":[33],"automatically":[36],"promptly":[38],"request":[39],"necessary":[41],"assistance.":[42],"This":[43],"work":[44],"proposes":[45],"FDS":[47],"based":[48],"on":[49,75,119],"wearable":[50],"sensors":[51],"-":[52,57],"i.e.,":[53],"accelerometers":[54],"gyroscopes":[56],"Machine":[59,95],"Learning":[60],"(ML),":[61],"for":[62,137,151],"sensor":[63],"signal":[64,79],"processing":[65],"detection.":[67],"process":[69],"extracts":[70],"number":[72],"features":[74],"portions":[76],"classifies":[81],"them":[82],"as":[83],"or":[85],"regular":[86,113],"daily":[87],"activities.":[88,114],"classifier":[90],"Support":[93],"Vector":[94],"(SVM)":[96],"that":[97],"trained":[99],"using":[100],"manually":[102],"labelled":[103],"dataset,":[104,124,154],"where":[105],"human":[106],"activities":[107],"are":[108],"distinguished":[109],"between":[110],"method":[116,143],"assessed":[118],"publicly":[121],"available":[122],"SisFall":[123,153],"with":[125,130,155],"extended":[126],"annotation,":[127],"compared":[129],"results":[132],"obtained":[133],"in":[134],"literature":[136],"same":[139],"dataset;":[140],"proposed":[142,150],"largely":[144],"outperforms":[145],"original":[147],"analysis":[148],"technique":[149],"an":[156],"F1":[157],"score":[158],"higher":[159,165],"than":[160,166],"97%":[161],"recall":[164],"99.7%.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
