{"id":"https://openalex.org/W7130396726","doi":"https://doi.org/10.1109/tencon66050.2025.11375473","title":"Parallel Lightweight Hybrid Attention BiGRU Framework for Multi Resident Human Activity Recognition with Sparse Sensor Data","display_name":"Parallel Lightweight Hybrid Attention BiGRU Framework for Multi Resident Human Activity Recognition with Sparse Sensor Data","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W7130396726","doi":"https://doi.org/10.1109/tencon66050.2025.11375473"},"language":null,"primary_location":{"id":"doi:10.1109/tencon66050.2025.11375473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon66050.2025.11375473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2025 - 2025 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010258896","display_name":"Abisek Dahal","orcid":"https://orcid.org/0009-0000-8968-2703"},"institutions":[{"id":"https://openalex.org/I9523339","display_name":"National Institute of Technology Meghalaya","ror":"https://ror.org/020vd6n84","country_code":"IN","type":"education","lineage":["https://openalex.org/I9523339"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abisek Dahal","raw_affiliation_strings":["National Institute of Technology,Department of CSE,Saitsohpen,Meghalaya,India,793108"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology,Department of CSE,Saitsohpen,Meghalaya,India,793108","institution_ids":["https://openalex.org/I9523339"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126341316","display_name":"Kaushik Ray","orcid":null},"institutions":[{"id":"https://openalex.org/I160302567","display_name":"North Eastern Regional Institute of Science and Technology","ror":"https://ror.org/01wbhqj28","country_code":"IN","type":"education","lineage":["https://openalex.org/I160302567"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kaushik Ray","raw_affiliation_strings":["NERIST,Department of CSE,Nirjuli,Arunachal Pradesh,India,791109"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NERIST,Department of CSE,Nirjuli,Arunachal Pradesh,India,791109","institution_ids":["https://openalex.org/I160302567"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020088266","display_name":"Soumen Moulik","orcid":"https://orcid.org/0000-0001-9206-4519"},"institutions":[{"id":"https://openalex.org/I9523339","display_name":"National Institute of Technology Meghalaya","ror":"https://ror.org/020vd6n84","country_code":"IN","type":"education","lineage":["https://openalex.org/I9523339"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumen Moulik","raw_affiliation_strings":["National Institute of Technology,Department of CSE,Saitsohpen,Meghalaya,India,793108"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology,Department of CSE,Saitsohpen,Meghalaya,India,793108","institution_ids":["https://openalex.org/I9523339"]}]}],"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":0.64309616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"998","last_page":"1002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9488000273704529,"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":0.9488000273704529,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.016899999231100082,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.007300000172108412,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7870000004768372},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6748999953269958},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6502000093460083},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5579000115394592},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.3222000002861023},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.3100000023841858},{"id":"https://openalex.org/keywords/ubiquitous-computing","display_name":"Ubiquitous computing","score":0.30410000681877136},{"id":"https://openalex.org/keywords/home-automation","display_name":"Home automation","score":0.2953000068664551}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7870000004768372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6940000057220459},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6748999953269958},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6502000093460083},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5579000115394592},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49639999866485596},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37860000133514404},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3580000102519989},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C172195944","wikidata":"https://www.wikidata.org/wiki/Q541265","display_name":"Ubiquitous computing","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C507571656","wikidata":"https://www.wikidata.org/wiki/Q848436","display_name":"Home automation","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C176563091","wikidata":"https://www.wikidata.org/wiki/Q669238","display_name":"Intelligent sensor","level":3,"score":0.28279998898506165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.27410000562667847},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27300000190734863},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2727999985218048},{"id":"https://openalex.org/C2988656282","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity detection","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C3018552312","wikidata":"https://www.wikidata.org/wiki/Q315412","display_name":"Assisted living","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2662000060081482},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C117035363","wikidata":"https://www.wikidata.org/wiki/Q3769299","display_name":"Human behavior","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C152223200","wikidata":"https://www.wikidata.org/wiki/Q3055471","display_name":"Smart environment","level":3,"score":0.2565999925136566},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2563000023365021},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25459998846054077},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon66050.2025.11375473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon66050.2025.11375473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2025 - 2025 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5104886293411255,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1967320926","https://openalex.org/W1969307352","https://openalex.org/W1986847617","https://openalex.org/W1998970979","https://openalex.org/W2015200434","https://openalex.org/W2035877237","https://openalex.org/W2059732136","https://openalex.org/W2283118918","https://openalex.org/W2765275233","https://openalex.org/W3154312757","https://openalex.org/W4225329064","https://openalex.org/W4285153164","https://openalex.org/W4293515904","https://openalex.org/W4382599745","https://openalex.org/W4399991384","https://openalex.org/W4403332078","https://openalex.org/W4408519644","https://openalex.org/W4413394725"],"related_works":[],"abstract_inverted_index":{"Recognizing":[0],"human":[1,134],"activity":[2,135],"in":[3,51,57,75,79,85,89,119,131,156],"multi-resident":[4],"smart":[5,64],"homes":[6],"is":[7],"complex":[8],"due":[9],"to":[10,36],"sparse":[11,120],"sensor":[12,45,123],"activations":[13],"and":[14,47,82,102,121,140,148,159],"overlapping":[15],"occupant":[16],"actions.":[17],"This":[18,125],"paper":[19],"presents":[20],"a":[21,128,138,150],"Parallel":[22],"Lightweight":[23],"Hybrid":[24],"Attention":[25,30],"BiGRU":[26],"framework,":[27],"integrating":[28],"Multi-Head":[29],"(MHA)":[31],"with":[32,108],"Bidirectional":[33],"GRUs":[34],"(BiGRUs)":[35],"address":[37],"these":[38],"challenges":[39],"effectively.":[40],"The":[41],"model":[42],"processes":[43],"global":[44],"relationships":[46],"local":[48],"temporal":[49],"dependencies":[50],"parallel,":[52],"overcoming":[53],"information":[54],"loss":[55],"typical":[56],"sequential":[58],"processing.":[59],"Experiments":[60],"on":[61],"real":[62,144],"world":[63,145],"home":[65],"ARAS":[66],"datasets":[67],"show":[68],"that":[69],"the":[70,112],"framework":[71],"achieves":[72],"97.99%":[73],"accuracy":[74,84],"Multi":[76],"resident":[77,87,133],"settings":[78],"House":[80,90],"A":[81],"99.49%":[83],"multi":[86,132],"scenarios":[88],"B.":[91],"It":[92],"also":[93],"generalizes":[94],"well":[95],"across":[96],"different":[97],"households,":[98],"demonstrating":[99],"strong":[100,151],"adaptability":[101],"robustness.":[103],"By":[104],"combining":[105],"attention":[106],"mechanisms":[107],"recurrent":[109],"neural":[110],"networks,":[111],"proposed":[113],"architecture":[114],"efficiently":[115],"captures":[116],"key":[117],"patterns":[118],"concurrent":[122],"data.":[124],"work":[126],"marks":[127],"significant":[129],"advancement":[130],"recognition,":[136],"offering":[137],"scalable":[139],"reliable":[141],"solution":[142],"for":[143,153],"smarthome":[146],"applications":[147],"establishing":[149],"foundation":[152],"future":[154],"research":[155],"pervasive":[157],"computing":[158],"ambient":[160],"intelligence":[161],"systems.":[162]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-19T00:00:00"}