{"id":"https://openalex.org/W4387227511","doi":"https://doi.org/10.1145/3570361.3615754","title":"Cross-modal meta-learning for WiFi-based human activity recognition","display_name":"Cross-modal meta-learning for WiFi-based human activity recognition","publication_year":2023,"publication_date":"2023-09-30","ids":{"openalex":"https://openalex.org/W4387227511","doi":"https://doi.org/10.1145/3570361.3615754"},"language":"en","primary_location":{"id":"doi:10.1145/3570361.3615754","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570361.3615754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th Annual International Conference on Mobile Computing and Networking","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/A5100657208","display_name":"Bin Han","orcid":"https://orcid.org/0009-0001-1672-0358"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Han","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0001-1672-0358","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436099","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0003-1810-3019"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-1810-3019","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103204843","display_name":"Xinxin Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin Lu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-7896-7399","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072742712","display_name":"Jie Meng","orcid":"https://orcid.org/0009-0009-6238-9000"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Meng","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0009-6238-9000","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005471585","display_name":"Zhiyi Zhou","orcid":"https://orcid.org/0000-0003-4985-5213"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyi Zhou","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-4985-5213","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.8487,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7325639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11158","display_name":"Wireless Networks and Protocols","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8415670394897461},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6780890226364136},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.642892599105835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5679206848144531},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5523161888122559},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4829825460910797},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.4803565740585327},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4788929522037506},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4517858922481537}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8415670394897461},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6780890226364136},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.642892599105835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5679206848144531},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5523161888122559},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4829825460910797},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.4803565740585327},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4788929522037506},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4517858922481537},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3570361.3615754","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570361.3615754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2194321275","https://openalex.org/W2794843057","https://openalex.org/W2899145720","https://openalex.org/W3176590546"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W618248309","https://openalex.org/W96612179","https://openalex.org/W2377336366","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1568097102","https://openalex.org/W4390419160","https://openalex.org/W1601203902","https://openalex.org/W1567818861"],"abstract_inverted_index":{"WiFi-based":[0,51,73],"Human":[1],"Activity":[2],"Recognition":[3],"(HAR)":[4],"faces":[5],"challenges":[6],"in":[7],"achieving":[8,102],"widespread":[9],"deployment":[10],"due":[11],"to":[12,30,48,72],"its":[13],"reliance":[14],"on":[15,44],"massive":[16],"data":[17],"and":[18,69,80],"limited":[19],"scalability.":[20],"However,":[21],"the":[22,84],"emergence":[23],"of":[24,64,91,106,110],"Few-Shot":[25],"Learning":[26],"(FSL)":[27],"provides":[28],"opportunities":[29],"address":[31],"this":[32,35],"issue.":[33],"In":[34],"paper,":[36],"we":[37],"propose":[38],"a":[39,88],"cross-modal":[40],"meta-learning":[41],"approach":[42,86],"based":[43],"Model-Agnostic":[45],"Meta-Learning":[46],"(MAML)":[47],"enable":[49],"few-shot":[50],"HAR.":[52,74],"The":[53],"hypothesis":[54],"is":[55],"that":[56],"models":[57],"can":[58],"learn":[59],"\"learning":[60],"methods\"":[61],"from":[62],"thousands":[63,109],"diverse":[65],"image":[66,79],"classification":[67],"tasks":[68],"apply":[70],"them":[71],"By":[75],"solely":[76],"leveraging":[77],"public":[78],"WiFi":[81],"signal":[82],"datasets,":[83],"proposed":[85],"trains":[87],"model":[89],"capable":[90],"recognizing":[92],"previously":[93],"unseen":[94],"activities":[95],"with":[96],"only":[97],"5":[98],"samples":[99],"per":[100],"class,":[101],"an":[103],"average":[104],"accuracy":[105],"88.5%":[107],"over":[108],"tests.":[111]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
