{"id":"https://openalex.org/W4413133776","doi":"https://doi.org/10.1142/s0218126625504365","title":"Smart Approach to Human Activity Recognition in IOT Using Hybrid-based Ensemble Classifier","display_name":"Smart Approach to Human Activity Recognition in IOT Using Hybrid-based Ensemble Classifier","publication_year":2025,"publication_date":"2025-08-07","ids":{"openalex":"https://openalex.org/W4413133776","doi":"https://doi.org/10.1142/s0218126625504365"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126625504365","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126625504365","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-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/A5091827992","display_name":"Saini Jacob Soman","orcid":"https://orcid.org/0009-0004-0282-166X"},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I2799351866","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]},{"id":"https://openalex.org/I98499257","display_name":"Kalasalingam Academy of Research and Education","ror":"https://ror.org/04fm2fn75","country_code":"IN","type":"education","lineage":["https://openalex.org/I98499257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Siju V. Soman","raw_affiliation_strings":["Department of Artificial Intelligence and Machine Learning, Canara Engineering College, Benjanapadavu, Bantwal Taluk, Mangaluru 574219, Karnataka","Department of Computer Science & Engineering, Kalasalingam Academy of Research and Education, Virudhunagar District 626126, Tamil Nadu, India"],"raw_orcid":"https://orcid.org/0009-0004-0282-166X","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Machine Learning, Canara Engineering College, Benjanapadavu, Bantwal Taluk, Mangaluru 574219, Karnataka","institution_ids":["https://openalex.org/I4210121405"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, Kalasalingam Academy of Research and Education, Virudhunagar District 626126, Tamil Nadu, India","institution_ids":["https://openalex.org/I98499257"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jane Rubel Angelina Jeyaraj","orcid":"https://orcid.org/0000-0002-6419-898X"},"institutions":[{"id":"https://openalex.org/I98499257","display_name":"Kalasalingam Academy of Research and Education","ror":"https://ror.org/04fm2fn75","country_code":"IN","type":"education","lineage":["https://openalex.org/I98499257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jane Rubel Angelina Jeyaraj","raw_affiliation_strings":["Department of Computer Science & Engineering, Kalasalingam Academy of Research and Education, Virudhunagar District 626126, Tamil Nadu, India"],"raw_orcid":"https://orcid.org/0000-0002-6419-898X","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Kalasalingam Academy of Research and Education, Virudhunagar District 626126, Tamil Nadu, India","institution_ids":["https://openalex.org/I98499257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15432572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"05","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":0.8208000063896179,"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":0.8208000063896179,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6618669629096985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6273817420005798},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5996025800704956},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.542470395565033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5146883130073547},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4245207905769348},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35226601362228394},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2618045210838318}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6618669629096985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6273817420005798},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5996025800704956},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.542470395565033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5146883130073547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4245207905769348},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35226601362228394},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2618045210838318}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126625504365","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126625504365","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W3127033546","https://openalex.org/W3129481580","https://openalex.org/W3136077883","https://openalex.org/W3149957502","https://openalex.org/W3185905653","https://openalex.org/W3193597430","https://openalex.org/W4225567822","https://openalex.org/W4286433530","https://openalex.org/W4290459660","https://openalex.org/W4306174905","https://openalex.org/W4311004828","https://openalex.org/W4313328958","https://openalex.org/W4366310721","https://openalex.org/W4379518916","https://openalex.org/W4381891035","https://openalex.org/W4384502051","https://openalex.org/W4385780451","https://openalex.org/W4390547602","https://openalex.org/W4390574409","https://openalex.org/W4390703358","https://openalex.org/W4391263123","https://openalex.org/W4391431656","https://openalex.org/W4392354632","https://openalex.org/W4392567235","https://openalex.org/W4393257980","https://openalex.org/W4395044701","https://openalex.org/W4396699072","https://openalex.org/W4400275586","https://openalex.org/W4400507395","https://openalex.org/W4402335444","https://openalex.org/W4402668332","https://openalex.org/W4402727584","https://openalex.org/W4402992873","https://openalex.org/W4404843586","https://openalex.org/W4406021811","https://openalex.org/W4406279706","https://openalex.org/W4406848852","https://openalex.org/W4407543209","https://openalex.org/W4408008015","https://openalex.org/W4408658474","https://openalex.org/W4409514306"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W3195649134","https://openalex.org/W2625093826","https://openalex.org/W4410295802","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4247463117","https://openalex.org/W2281498195"],"abstract_inverted_index":{"In":[0],"everyday":[1],"life,":[2],"HAR":[3,231],"plays":[4],"a":[5,52,59,83,98,236],"critical":[6],"role":[7],"in":[8,92],"obtaining":[9],"precise":[10],"insights":[11],"into":[12],"human":[13],"activity":[14],"from":[15,115],"sensor":[16],"data.":[17],"Video-based":[18],"systems":[19],"have":[20,44,58,73],"several":[21],"drawbacks,":[22,62],"including":[23],"inadequate":[24],"coverage,":[25],"expensive":[26],"prices":[27],"and":[28,68,104,160,165,203,220,233],"privacy":[29],"problems,":[30],"despite":[31],"the":[32,45,105,174,183,194,216,240],"fact":[33],"that":[34,193],"they":[35,56],"may":[36],"efficiently":[37],"record":[38,51],"physical":[39],"activity.":[40],"While":[41],"sensor-based":[42],"devices":[43],"benefit":[46],"of":[47,54,61,211,222,242],"being":[48],"able":[49],"to":[50,101,107,130,149,156,199,239],"variety":[53],"behaviors,":[55],"also":[57],"number":[60],"such":[63],"as":[64],"poor":[65],"contextual":[66],"awareness":[67],"data":[69],"noise.":[70],"Both":[71],"approaches":[72],"serious":[74],"shortcomings.":[75],"To":[76,111],"overcome":[77],"these":[78],"challenges,":[79],"this":[80],"research":[81],"proposed":[82,195],"novel":[84],"Hybrid":[85],"Ensemble":[86,171],"Classifier":[87],"(HEC)":[88],"for":[89,224],"recognizing":[90],"activities":[91],"Smart":[93],"Home":[94],"HAR.":[95],"Preprocessing":[96],"uses":[97],"Bilateral":[99],"filter":[100],"reduce":[102],"noise":[103],"HOG":[106],"capture":[108],"multiscale":[109],"information.":[110,142],"extract":[112],"deep":[113],"features":[114],"image":[116],"frames,":[117],"propose":[118],"an":[119,170,209],"Inception-based":[120],"CNN":[121],"with":[122,134,208],"Bi-GRU.":[123],"The":[124,190],"process":[125],"involves":[126],"multiple":[127],"convolutional":[128],"layers":[129],"produce":[131],"hierarchical":[132],"information,":[133,162],"max-pooling":[135],"reducing":[136,163],"spatial":[137],"dimensions":[138],"while":[139],"preserving":[140],"crucial":[141],"Global":[143],"Average":[144],"Pooling":[145],"(GAP)":[146],"is":[147,153,188,197],"used":[148],"minimize":[150],"overfitting.":[151],"Bi-GRU":[152],"then":[154],"incorporated":[155],"model":[157],"temporal":[158],"relationships":[159],"sequential":[161],"overfitting":[164],"improving":[166],"pattern":[167],"recognition.":[168],"Finally,":[169],"classifier":[172],"determines":[173],"final":[175],"prediction":[176],"by":[177],"majority":[178],"voting":[179],"among":[180],"classifiers,":[181],"ensuring":[182],"most":[184],"accurate":[185],"class":[186],"label":[187],"chosen.":[189],"result":[191],"reveals":[192],"technique":[196],"related":[198],"seven":[200],"prevailing":[201],"approaches,":[202],"it":[204,214],"demonstrates":[205],"superior":[206],"performance":[207],"accuracy":[210,232],"99.9%.":[212],"Additionally,":[213],"attains":[215],"maximum":[217],"precision,":[218],"recall":[219],"F1-score":[221],"1.00":[223],"ensemble":[225],"classifiers.":[226],"This":[227],"approach":[228],"significantly":[229],"enhances":[230],"robustness,":[234],"offering":[235],"comprehensive":[237],"solution":[238],"limitations":[241],"existing":[243],"methods.":[244]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}