{"id":"https://openalex.org/W4392719549","doi":"https://doi.org/10.1109/tim.2024.3374312","title":"CSI-GLSTN: A Location-Independent CSI Human Activity Recognition Method Based on Spatio-Temporal and Channel Feature Fusion","display_name":"CSI-GLSTN: A Location-Independent CSI Human Activity Recognition Method Based on Spatio-Temporal and Channel Feature Fusion","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392719549","doi":"https://doi.org/10.1109/tim.2024.3374312"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3374312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3374312","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","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/A5061590668","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0001-5532-6081"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]},{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN","GB"],"is_corresponding":true,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China","University of Manchester, Manchester, U.K"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"University of Manchester, Manchester, U.K","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050083555","display_name":"Dingchao Wu","orcid":"https://orcid.org/0000-0001-8389-7412"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingchao Wu","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035299839","display_name":"Yujie Wang","orcid":"https://orcid.org/0000-0002-8654-2622"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Wang","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093332688","display_name":"Yang Zhang","orcid":"https://orcid.org/0009-0009-4948-8119"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]},{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China","University of Manchester, Manchester, U.K"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"University of Manchester, Manchester, U.K","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044917073","display_name":"Guangkun Ji","orcid":"https://orcid.org/0009-0007-5267-4401"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangkun Ji","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082959313","display_name":"Jiaqiu Ai","orcid":"https://orcid.org/0000-0001-7923-0172"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqiu Ai","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061590668"],"corresponding_institution_ids":["https://openalex.org/I16365422","https://openalex.org/I28407311"],"apc_list":null,"apc_paid":null,"fwci":3.3461,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.93209628,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"12"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9988999962806702,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9948999881744385,"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/feature","display_name":"Feature (linguistics)","score":0.6308574676513672},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6140373945236206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6053429841995239},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.537132203578949},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5276954174041748},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5042723417282104},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4929957091808319},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4926062226295471},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4612106382846832},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4518255591392517},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3612404465675354},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1674235463142395}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6308574676513672},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6140373945236206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6053429841995239},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.537132203578949},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5276954174041748},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5042723417282104},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4929957091808319},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4926062226295471},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4612106382846832},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4518255591392517},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3612404465675354},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1674235463142395},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3374312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3374312","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G205678798","display_name":null,"funder_award_id":"2008085MF214","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G8575682943","display_name":null,"funder_award_id":"62271188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1911418635","https://openalex.org/W1989259731","https://openalex.org/W2023302299","https://openalex.org/W2028292455","https://openalex.org/W2085731903","https://openalex.org/W2095396347","https://openalex.org/W2109747901","https://openalex.org/W2114977530","https://openalex.org/W2144685889","https://openalex.org/W2338892592","https://openalex.org/W2340862004","https://openalex.org/W2344494366","https://openalex.org/W2466188202","https://openalex.org/W2517331439","https://openalex.org/W2591112160","https://openalex.org/W2748628104","https://openalex.org/W2756172860","https://openalex.org/W2805240935","https://openalex.org/W2896542121","https://openalex.org/W2915687033","https://openalex.org/W2948534871","https://openalex.org/W2952586546","https://openalex.org/W2971733775","https://openalex.org/W2973570693","https://openalex.org/W3018493579","https://openalex.org/W3023621826","https://openalex.org/W3044315440","https://openalex.org/W3137577088","https://openalex.org/W3160315831","https://openalex.org/W3176590546","https://openalex.org/W3176846228","https://openalex.org/W3196221233","https://openalex.org/W3196692527","https://openalex.org/W3201592184","https://openalex.org/W4214885530","https://openalex.org/W4253510307","https://openalex.org/W4308366417","https://openalex.org/W4313591090","https://openalex.org/W6728817311"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W2281498195","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2031175860","https://openalex.org/W2971659033","https://openalex.org/W2152662039","https://openalex.org/W2145797872"],"abstract_inverted_index":{"In":[0],"the":[1,42,75,114,119,133,151,162,175,194],"field":[2],"of":[3,44,77,109,143,153,164,182,188],"Human":[4],"Activity":[5],"Recognition":[6],"(HAR)":[7],"based":[8,57,65],"on":[9,169],"Wi-Fi":[10,78],"signals,":[11],"channel":[12,107,141],"characteristics":[13],"are":[14],"susceptible":[15],"to":[16,20,36,103,118],"environmental":[17],"influences,":[18],"leading":[19],"significant":[21],"feature":[22],"variations":[23],"among":[24],"samples":[25,111,129,170],"from":[26,130,156,171],"different":[27,40,131,146,173,186,201],"locations.":[28,202],"Consequently,":[29],"when":[30],"existing":[31],"model-based":[32],"HAR":[33,55,199],"systems":[34],"attempt":[35],"recognize":[37],"activities":[38],"across":[39,200],"locations,":[41,132,159,174],"accuracy":[43,181],"pre-trained":[45],"models":[46],"often":[47],"deteriorates.":[48],"To":[49],"address":[50],"this":[51],"challenge,":[52],"a":[53,83,92,99],"location-independent":[54,165],"system":[56,176],"Channel":[58],"State":[59],"Information(CSI)":[60],"named":[61],"Graph":[62],"structure":[63,90,94,136],"Learning":[64],"graph":[66,84,89,93,100,121,135],"Saptio-temporal":[67],"and":[68,85,106,112,125,140],"Transformer":[69],"Network(CSI-GLSTN)":[70],"is":[71],"proposed,":[72],"which":[73],"treats":[74],"sub-channels":[76],"signals":[79],"as":[80],"nodes":[81],"in":[82,198],"constructs":[86],"an":[87,178],"initial":[88,120],"through":[91],"learning":[95],"layer.":[96],"It":[97],"employs":[98],"spatio-temporal":[101,139],"network":[102],"fuse":[104],"temporal":[105],"features":[108,116,142,155],"activity":[110,128,147,154],"map":[113],"fused":[115],"back":[117],"structure.":[122],"Through":[123],"optimization":[124],"updates":[126],"with":[127],"final":[134],"integrates":[137],"both":[138],"activities,":[144],"characterizing":[145],"types.":[148],"This":[149],"achieves":[150,177],"decoupling":[152],"their":[157],"respective":[158],"ultimately":[160],"serving":[161],"goal":[163],"HAR.":[166],"After":[167],"training":[168],"ten":[172],"average":[179],"recognition":[180],"95.2%":[183],"for":[184],"six":[185],"types":[187],"human":[189],"activities.":[190],"Experimental":[191],"results":[192],"validate":[193],"system\u2019s":[195],"generalization":[196],"performance":[197]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
