{"id":"https://openalex.org/W3094311282","doi":"https://doi.org/10.1109/icccnt49239.2020.9225494","title":"Fall Detection for Elderly People using Machine Learning","display_name":"Fall Detection for Elderly People using Machine Learning","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3094311282","doi":"https://doi.org/10.1109/icccnt49239.2020.9225494","mag":"3094311282"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt49239.2020.9225494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","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/A5081103520","display_name":"Sejal Badgujar","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sejal Badgujar","raw_affiliation_strings":["Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham, India"],"affiliations":[{"raw_affiliation_string":"Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057814049","display_name":"Anju S. Pillai","orcid":"https://orcid.org/0000-0001-5298-6789"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anju S. Pillai","raw_affiliation_strings":["Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham, India"],"affiliations":[{"raw_affiliation_string":"Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081103520"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":2.9485,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.92776921,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9993000030517578,"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":0.9993000030517578,"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":0.975600004196167,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9677000045776367,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7706524133682251},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.656512439250946},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6491321325302124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6395192742347717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6275268793106079},{"id":"https://openalex.org/keywords/elderly-people","display_name":"Elderly people","score":0.5744551420211792},{"id":"https://openalex.org/keywords/fall-prevention","display_name":"Fall prevention","score":0.5398027896881104},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.44999799132347107},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.4232710897922516},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.4202803075313568},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.29280221462249756},{"id":"https://openalex.org/keywords/poison-control","display_name":"Poison control","score":0.255916953086853},{"id":"https://openalex.org/keywords/gerontology","display_name":"Gerontology","score":0.2107769250869751},{"id":"https://openalex.org/keywords/suicide-prevention","display_name":"Suicide prevention","score":0.2038554847240448},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1959177851676941},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09429004788398743}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7706524133682251},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.656512439250946},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6491321325302124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6395192742347717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6275268793106079},{"id":"https://openalex.org/C3018697994","wikidata":"https://www.wikidata.org/wiki/Q191089","display_name":"Elderly people","level":2,"score":0.5744551420211792},{"id":"https://openalex.org/C2776516907","wikidata":"https://www.wikidata.org/wiki/Q5432181","display_name":"Fall prevention","level":4,"score":0.5398027896881104},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.44999799132347107},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.4232710897922516},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4202803075313568},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.29280221462249756},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.255916953086853},{"id":"https://openalex.org/C74909509","wikidata":"https://www.wikidata.org/wiki/Q10387","display_name":"Gerontology","level":1,"score":0.2107769250869751},{"id":"https://openalex.org/C526869908","wikidata":"https://www.wikidata.org/wiki/Q3298118","display_name":"Suicide prevention","level":3,"score":0.2038554847240448},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1959177851676941},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09429004788398743},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt49239.2020.9225494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1991069594","https://openalex.org/W2030972883","https://openalex.org/W2055698923","https://openalex.org/W2059363368","https://openalex.org/W2076885544","https://openalex.org/W2146291834","https://openalex.org/W2163660327","https://openalex.org/W2288999215","https://openalex.org/W2543632018","https://openalex.org/W2594253592","https://openalex.org/W2605270538","https://openalex.org/W2767165810","https://openalex.org/W2800341636","https://openalex.org/W2801035401","https://openalex.org/W2900501356","https://openalex.org/W6648070135","https://openalex.org/W6669793867","https://openalex.org/W6756566207"],"related_works":["https://openalex.org/W4224922629","https://openalex.org/W2591672004","https://openalex.org/W1982169401","https://openalex.org/W2356463514","https://openalex.org/W4319437832","https://openalex.org/W2592385415","https://openalex.org/W2030894524","https://openalex.org/W4243803609","https://openalex.org/W2350430350","https://openalex.org/W2623725391"],"abstract_inverted_index":{"Health":[0],"is":[1,19,27,46,55,99],"the":[2,12,36,76,82,115,118],"major":[3,37],"worrisome":[4],"point":[5],"whose":[6],"impalpability":[7],"increases":[8],"with":[9,92],"increase":[10],"in":[11,85],"age.":[13],"Thus,":[14],"taking":[15],"care":[16,79],"of":[17,35,39,44,81,87,94,96,120],"elders":[18,45],"very":[20],"important":[21],"responsibility.":[22],"In":[23,48],"such":[24],"scenario,":[25],"technology":[26],"helping":[28],"people":[29],"by":[30,65,130],"providing":[31],"living":[32],"assistance.":[33],"One":[34],"causes":[38],"health":[40],"degradation":[41],"or":[42,78],"death":[43],"`fall'.":[47],"this":[49],"paper,":[50],"a":[51],"fall":[52,70],"detection":[53],"system":[54,62,124],"proposed":[56],"based":[57],"on":[58,117],"machine":[59],"learning.":[60],"The":[61,89,123],"detects":[63],"falls":[64,116],"classifying":[66],"different":[67],"activities":[68,95],"into":[69],"and":[71,74,108],"non-fall":[72],"actions":[73],"alert":[75],"relative":[77],"taker":[80],"elderly":[83],"person":[84],"case":[86],"emergency.":[88],"dataset":[90],"SisFall":[91],"variety":[93],"multiple":[97],"participants":[98],"used":[100,112],"to":[101,113,128],"calculate":[102],"features.":[103,122],"Machine":[104],"learning":[105],"algorithms":[106],"SVM":[107],"decision":[109,132],"tree":[110,133],"are":[111],"detect":[114],"basis":[119],"calculated":[121],"acquires":[125],"accuracy":[126],"up":[127],"96%":[129],"using":[131],"algorithm.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}
