{"id":"https://openalex.org/W3046245256","doi":"https://doi.org/10.1145/3389189.3397987","title":"A multi-scale fuzzy entropy measure for anomaly detection in activities of daily living","display_name":"A multi-scale fuzzy entropy measure for anomaly detection in activities of daily living","publication_year":2020,"publication_date":"2020-06-26","ids":{"openalex":"https://openalex.org/W3046245256","doi":"https://doi.org/10.1145/3389189.3397987","mag":"3046245256"},"language":"en","primary_location":{"id":"doi:10.1145/3389189.3397987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3389189.3397987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments","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/A5025668900","display_name":"Aadel Howedi","orcid":"https://orcid.org/0000-0001-7586-9737"},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Aadel Howedi","raw_affiliation_strings":["Nottingham Trent University, Nottingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Nottingham Trent University, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I52590639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006193695","display_name":"Ahmad Lotfi","orcid":"https://orcid.org/0000-0002-5139-6565"},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ahmad Lotfi","raw_affiliation_strings":["Nottingham Trent University, Nottingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Nottingham Trent University, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I52590639"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045353652","display_name":"Amir Pourabdollah","orcid":"https://orcid.org/0000-0001-7737-1393"},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Amir Pourabdollah","raw_affiliation_strings":["Nottingham Trent University, Nottingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Nottingham Trent University, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I52590639"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025668900"],"corresponding_institution_ids":["https://openalex.org/I52590639"],"apc_list":null,"apc_paid":null,"fwci":0.4885,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.65628151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9990000128746033,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/activities-of-daily-living","display_name":"Activities of daily living","score":0.8271787166595459},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7130178809165955},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5811556577682495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5627925395965576},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5311875343322754},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5070862770080566},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4923509359359741},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4318860173225403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41996294260025024},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.41984841227531433},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38235267996788025},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14843711256980896},{"id":"https://openalex.org/keywords/physical-therapy","display_name":"Physical therapy","score":0.11045524477958679},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08543592691421509}],"concepts":[{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.8271787166595459},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7130178809165955},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5811556577682495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5627925395965576},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5311875343322754},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5070862770080566},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4923509359359741},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4318860173225403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41996294260025024},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.41984841227531433},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38235267996788025},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14843711256980896},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.11045524477958679},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08543592691421509},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3389189.3397987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3389189.3397987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"},{"id":"pmh:oai:irep.ntu.ac.uk:40468","is_oa":false,"landing_page_url":"http://irep.ntu.ac.uk/id/eprint/40468/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400559","display_name":"Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I52590639","host_organization_name":"Nottingham Trent University","host_organization_lineage":["https://openalex.org/I52590639"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Section"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1517879342","https://openalex.org/W1540959951","https://openalex.org/W1788497923","https://openalex.org/W1969069964","https://openalex.org/W1983899894","https://openalex.org/W1986847617","https://openalex.org/W2015200434","https://openalex.org/W2021361613","https://openalex.org/W2064657839","https://openalex.org/W2078731979","https://openalex.org/W2132867391","https://openalex.org/W2164104048","https://openalex.org/W2170014674","https://openalex.org/W2188945198","https://openalex.org/W2274058249","https://openalex.org/W2294589436","https://openalex.org/W2559446181","https://openalex.org/W2564975654","https://openalex.org/W2734548032","https://openalex.org/W2738336658","https://openalex.org/W2793059714","https://openalex.org/W2800395558","https://openalex.org/W2918626637","https://openalex.org/W2938458899","https://openalex.org/W2945910290","https://openalex.org/W2959807905","https://openalex.org/W2972650277","https://openalex.org/W2987836383","https://openalex.org/W2998948697","https://openalex.org/W6687277439"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1],"in":[2,44,55,60,68,87,103,132,149],"the":[3,35,57,66,165,187],"Activities":[4],"of":[5,9,29,94,138,176],"Daily":[6],"Living":[7],"(ADL)":[8],"older":[10,88],"adults":[11],"is":[12,73,97,140,144],"essential":[13],"for":[14],"healthcare":[15],"management,":[16],"to":[17,19,41,64,75,98,125,146,186],"act":[18],"avoid":[20],"prospective":[21],"problems":[22],"early":[23],"and":[24,100,129,158],"improve":[25],"this":[26,95,113],"group's":[27],"quality":[28],"life.":[30],"Once":[31],"ADLs":[32,104,133],"are":[33],"recognised,":[34],"gathered":[36,108],"information":[37],"will":[38],"be":[39],"utilised":[40],"detect":[42,85,101,147,169],"anomalies":[43,86,102,148],"comparison":[45],"with":[46,134,172,179],"routine":[47],"activities.":[48,91],"Existing":[49],"methods":[50,181],"provide":[51],"some":[52],"limited":[53],"reliabilities":[54],"detecting":[56],"anomalous":[58,130,170],"events":[59],"ADLs,":[61],"particularly":[62],"due":[63],"ignoring":[65],"changes":[67],"individuals'":[69],"routine.":[70],"Therefore,":[71],"it":[72],"important":[74],"develop":[76],"an":[77],"appropriate":[78],"method":[79,117,167],"or":[80],"algorithm":[81],"that":[82,164],"can":[83,168],"efficiently":[84],"adults'":[89],"daily":[90],"The":[92,160],"focus":[93],"study":[96],"distinguish":[99],"based":[105,118],"on":[106,119],"data":[107,151],"from":[109,153],"ambient":[110],"sensors.":[111],"In":[112],"paper,":[114],"a":[115,120,135,173],"novel":[116],"Multi-scale":[121],"Fuzzy":[122],"Entropy":[123],"measure":[124],"discriminate":[126],"between":[127],"normal":[128],"cases":[131],"high":[136,174],"degree":[137,175],"accuracy":[139],"investigated.":[141],"Experimental":[142],"evaluation":[143],"conducted":[145],"ADL":[150],"obtained":[152],"two":[154],"different":[155],"datasets":[156],"(ADL":[157],"CASAS).":[159],"experimental":[161],"results":[162],"show":[163],"proposed":[166,188],"instances":[171],"accuracy.":[177],"Comparisons":[178],"other":[180],"have":[182],"also":[183],"offered":[184],"support":[185],"method.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
