{"id":"https://openalex.org/W4400489758","doi":"https://doi.org/10.1109/cscwd61410.2024.10580071","title":"RFID-Based Indoor Human Behavior Recognition Using SATCN: A Self-Attention Enhanced Temporal Convolutional Network","display_name":"RFID-Based Indoor Human Behavior Recognition Using SATCN: A Self-Attention Enhanced Temporal Convolutional Network","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4400489758","doi":"https://doi.org/10.1109/cscwd61410.2024.10580071"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd61410.2024.10580071","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd61410.2024.10580071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5079650785","display_name":"Zhenchao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenchao Chen","raw_affiliation_strings":["Xiamen University,School of Informatics,Xiamen,China,361005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics,Xiamen,China,361005","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101174267","display_name":"Mulan Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mulan Yang","raw_affiliation_strings":["Xi’an Jiaotong University,School of Economics and Finance,Xian,China,710049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Economics and Finance,Xian,China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101395832","display_name":"Xuehan Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuehan Hou","raw_affiliation_strings":["Xi’an Jiaotong University,School of Software,Xian,China,710049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Software,Xian,China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059734802","display_name":"Lvqing Yang","orcid":"https://orcid.org/0000-0001-5338-0471"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lvqing Yang","raw_affiliation_strings":["Xiamen University,School of Informatics,Xiamen,China,361005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics,Xiamen,China,361005","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101395811","display_name":"Wensheng Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wensheng Dong","raw_affiliation_strings":["Zijin Zhixin(Xiamen)Technology Co., Ltd.,Xiamen,China,361005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zijin Zhixin(Xiamen)Technology Co., Ltd.,Xiamen,China,361005","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435031","display_name":"Bo Yu","orcid":"https://orcid.org/0000-0002-4851-2174"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Yu","raw_affiliation_strings":["Zijin Zhixin(Xiamen)Technology Co., Ltd.,Xiamen,China,361005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zijin Zhixin(Xiamen)Technology Co., Ltd.,Xiamen,China,361005","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101539503","display_name":"Qingkai Wang","orcid":"https://orcid.org/0000-0002-3594-8892"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qingkai Wang","raw_affiliation_strings":["State Key Laboratory of Process Automation in Mining & Metallurgy,Beijing,China,102600"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Process Automation in Mining & Metallurgy,Beijing,China,102600","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5259,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67051212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2852","last_page":"2857"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.894599974155426,"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":0.894599974155426,"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":0.8902000188827515,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8676000237464905,"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/computer-science","display_name":"Computer science","score":0.7129191160202026},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5440704822540283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26749187707901}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7129191160202026},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5440704822540283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26749187707901}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd61410.2024.10580071","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd61410.2024.10580071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325434","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4293226380","https://openalex.org/W4396696052","https://openalex.org/W2382290278"],"abstract_inverted_index":{"In":[0],"the":[1,91,108,140],"field":[2],"of":[3,39,125,142],"indoor":[4,114,144],"human":[5,34,80,115,145],"behavior":[6,24,35,81,96,116,146],"recognition,":[7],"traditional":[8],"deep":[9],"learning":[10],"methods":[11],"often":[12],"underperform":[13],"in":[14,22,107,138],"adequately":[15],"capturing":[16],"temporal":[17,93],"features":[18,106],"and":[19,58,74],"core":[20],"information":[21],"RFID":[23,113],"data,":[25,97],"leading":[26],"to":[27,88,102],"suboptimal":[28],"predictive":[29],"performance.":[30],"We":[31],"note":[32],"that":[33,68,120],"is":[36],"primarily":[37],"composed":[38],"complex":[40],"action":[41],"sequences,":[42],"where":[43],"certain":[44],"sequences":[45],"formed":[46],"by":[47],"Received":[48],"Signal":[49],"Strength":[50],"Indicator":[51],"(RSSI)":[52],"values":[53],"may":[54],"exhibit":[55],"more":[56],"representative":[57],"information-rich":[59],"patterns.":[60],"Therefore,":[61],"we":[62],"propose":[63],"SATCN:":[64],"an":[65,123],"innovative":[66],"model":[67,85],"leverages":[69],"Temporal":[70],"Convolutional":[71],"Networks":[72],"(TCN)":[73],"self-attention":[75,100],"mechanisms":[76,101],"for":[77],"advanced":[78],"RFID-based":[79,143],"recognition.":[82,147],"The":[83],"SATCN":[84,121],"employs":[86],"TCN":[87],"adeptly":[89],"capture":[90],"inherent":[92],"dependencies":[94],"within":[95],"while":[98],"integrating":[99],"focus":[103],"on":[104,112],"high-value":[105],"data.":[109],"Experimental":[110],"validation":[111],"recognition":[117],"dataset":[118],"reveals":[119],"achieves":[122],"accuracy":[124,141],"94.51%,":[126],"a":[127],"10.83":[128],"percentage":[129],"point":[130],"increase":[131],"over":[132],"existing":[133],"models,":[134],"highlighting":[135],"SATCN\u2019s":[136],"potential":[137],"enhancing":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}