{"id":"https://openalex.org/W4362605308","doi":"https://doi.org/10.1109/icacs55311.2023.10089764","title":"Deep Activity Recognition based on Patterns Discovery for Healthcare Monitoring","display_name":"Deep Activity Recognition based on Patterns Discovery for Healthcare Monitoring","publication_year":2023,"publication_date":"2023-02-20","ids":{"openalex":"https://openalex.org/W4362605308","doi":"https://doi.org/10.1109/icacs55311.2023.10089764"},"language":"en","primary_location":{"id":"doi:10.1109/icacs55311.2023.10089764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacs55311.2023.10089764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Advancements in Computational Sciences (ICACS)","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/A5089511340","display_name":"Madiha Javeed","orcid":"https://orcid.org/0000-0001-5093-7334"},"institutions":[{"id":"https://openalex.org/I899713450","display_name":"Air University","ror":"https://ror.org/03yfe9v83","country_code":"PK","type":"education","lineage":["https://openalex.org/I899713450"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Madiha Javeed","raw_affiliation_strings":["Air University,Dept. of Computer Science,Islamabad,Pakistan","Dept. of Computer Science, Air University, Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"Air University,Dept. of Computer Science,Islamabad,Pakistan","institution_ids":["https://openalex.org/I899713450"]},{"raw_affiliation_string":"Dept. of Computer Science, Air University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I899713450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072951124","display_name":"Ahmad Jalal","orcid":"https://orcid.org/0000-0002-6998-3784"},"institutions":[{"id":"https://openalex.org/I899713450","display_name":"Air University","ror":"https://ror.org/03yfe9v83","country_code":"PK","type":"education","lineage":["https://openalex.org/I899713450"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Ahmad Jalal","raw_affiliation_strings":["Air University,Dept. of Computer Science,Islamabad,Pakistan","Dept. of Computer Science, Air University, Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"Air University,Dept. of Computer Science,Islamabad,Pakistan","institution_ids":["https://openalex.org/I899713450"]},{"raw_affiliation_string":"Dept. of Computer Science, Air University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I899713450"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089511340"],"corresponding_institution_ids":["https://openalex.org/I899713450"],"apc_list":null,"apc_paid":null,"fwci":3.4233,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.94086829,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9660000205039978,"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":0.9462000131607056,"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/activity-recognition","display_name":"Activity recognition","score":0.8214319348335266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7006438374519348},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6674641966819763},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6618430614471436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5790889263153076},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5214397311210632},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4672268331050873},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.464805006980896},{"id":"https://openalex.org/keywords/motion-sensors","display_name":"Motion sensors","score":0.46318578720092773},{"id":"https://openalex.org/keywords/activity-detection","display_name":"Activity detection","score":0.4426988363265991},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.4271738529205322},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.41270652413368225},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40971291065216064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34406328201293945},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3437463045120239},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.09491121768951416}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.8214319348335266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7006438374519348},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6674641966819763},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6618430614471436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5790889263153076},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5214397311210632},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4672268331050873},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.464805006980896},{"id":"https://openalex.org/C2986565385","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion sensors","level":2,"score":0.46318578720092773},{"id":"https://openalex.org/C2988656282","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity detection","level":2,"score":0.4426988363265991},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4271738529205322},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.41270652413368225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40971291065216064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34406328201293945},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3437463045120239},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.09491121768951416},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacs55311.2023.10089764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacs55311.2023.10089764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Advancements in Computational Sciences (ICACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W22482183","https://openalex.org/W92081101","https://openalex.org/W232434037","https://openalex.org/W1553634967","https://openalex.org/W1649386595","https://openalex.org/W1902460016","https://openalex.org/W2014601643","https://openalex.org/W2022927695","https://openalex.org/W2033719708","https://openalex.org/W2079505600","https://openalex.org/W2116225745","https://openalex.org/W2126511896","https://openalex.org/W2149896004","https://openalex.org/W2283292693","https://openalex.org/W2737977453","https://openalex.org/W2909218472","https://openalex.org/W2910258641","https://openalex.org/W2921899828","https://openalex.org/W2922207171","https://openalex.org/W2932098188","https://openalex.org/W2944310648","https://openalex.org/W2977530153","https://openalex.org/W2978367588","https://openalex.org/W2995110559","https://openalex.org/W2995628968","https://openalex.org/W3009224218","https://openalex.org/W3010153341","https://openalex.org/W3013949455","https://openalex.org/W3015663082","https://openalex.org/W3015931671","https://openalex.org/W3016117922","https://openalex.org/W3027425326","https://openalex.org/W3044071265","https://openalex.org/W3108642393","https://openalex.org/W3110610882","https://openalex.org/W3111492829","https://openalex.org/W3113327043","https://openalex.org/W3127063527","https://openalex.org/W3132195234","https://openalex.org/W3139420163","https://openalex.org/W3153753207","https://openalex.org/W3154214969","https://openalex.org/W3155006330","https://openalex.org/W3156292869","https://openalex.org/W3156791706","https://openalex.org/W3183335166","https://openalex.org/W3212071041","https://openalex.org/W3214898772","https://openalex.org/W4200572920","https://openalex.org/W4210343610","https://openalex.org/W4210352466","https://openalex.org/W4210768992","https://openalex.org/W4214767594","https://openalex.org/W4225166090","https://openalex.org/W4282043382","https://openalex.org/W4304811509","https://openalex.org/W4312947958","https://openalex.org/W4313307056","https://openalex.org/W4313307166","https://openalex.org/W4313307196","https://openalex.org/W4313316142","https://openalex.org/W4361732509"],"related_works":["https://openalex.org/W2896666051","https://openalex.org/W2582769230","https://openalex.org/W2279827266","https://openalex.org/W196692439","https://openalex.org/W4207072607","https://openalex.org/W4390283291","https://openalex.org/W2944566775","https://openalex.org/W2880976449","https://openalex.org/W3195649134","https://openalex.org/W3135769773"],"abstract_inverted_index":{"Healthcare":[0],"monitoring":[1],"for":[2,85],"humans":[3],"is":[4,23,93,125],"important":[5,67],"due":[6],"to":[7,28,42,64,94],"several":[8],"factors":[9],"including":[10,113],"life":[11],"quality":[12],"and":[13,102,119,134],"early":[14,77],"detection":[15,98],"of":[16,50,79,141,146],"health-related":[17],"problems.":[18],"Human":[19],"activity":[20,36,68,86,97],"patterns":[21,37,61,81,101],"recognition":[22,38,69,87],"the":[24,34,48,66,96],"most":[25],"promising":[26],"ways":[27],"monitor":[29],"human":[30,35],"health.":[31],"Uprisings":[32],"in":[33,70,88,139],"has":[39,82],"enabled":[40],"researchers":[41],"recognize":[43],"multiple":[44,51],"health":[45],"issues":[46],"through":[47,99],"usage":[49],"sensory":[52],"devices":[53],"such":[54],"as":[55],"motion-based":[56],"wearable":[57],"sensors.":[58],"Irrelevant":[59],"motion":[60,80,100],"can":[62],"lead":[63],"overlook":[65],"daily":[71],"living.":[72],"For":[73],"this":[74,89],"purpose,":[75],"an":[76,128],"discovery":[78],"been":[83],"proposed":[84,107],"paper.":[90],"Main":[91],"objective":[92],"support":[95],"deep":[103],"learning":[104],"mechanism.":[105],"The":[106,122],"method":[108],"contains":[109],"three":[110],"layered":[111],"architecture":[112],"pre-processing":[114],"layer,":[115,118],"features":[116],"engineering":[117],"classification":[120],"layer.":[121],"anticipated":[123],"study":[124],"investigated":[126],"over":[127],"openly":[129],"available":[130],"dataset":[131],"named":[132],"Opportunity":[133],"results":[135],"have":[136],"shown":[137],"improvement":[138],"terms":[140],"achieving":[142],"higher":[143],"accuracy":[144],"rate":[145],"88.57%.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":12}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}