{"id":"https://openalex.org/W4400527587","doi":"https://doi.org/10.1109/fg59268.2024.10581974","title":"SMCTL: Subcarrier Masking Contrastive Transfer Learning for Human Gesture Recognition with Passive Wi-Fi Sensing","display_name":"SMCTL: Subcarrier Masking Contrastive Transfer Learning for Human Gesture Recognition with Passive Wi-Fi Sensing","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4400527587","doi":"https://doi.org/10.1109/fg59268.2024.10581974"},"language":"en","primary_location":{"id":"doi:10.1109/fg59268.2024.10581974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg59268.2024.10581974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)","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/A5035444332","display_name":"Hojjat Salehinejad","orcid":"https://orcid.org/0000-0002-9636-863X"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hojjat Salehinejad","raw_affiliation_strings":["Kern Center for the Science of Health Care Delivery, Mayo Clinic,Rochester,MN,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kern Center for the Science of Health Care Delivery, Mayo Clinic,Rochester,MN,USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005002452","display_name":"Radomir Djogo","orcid":"https://orcid.org/0009-0001-9855-7354"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Radomir Djogo","raw_affiliation_strings":["University of Toronto,Department of Electrical &#x0026; Computer Engineering,Toronto,ON,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto,Department of Electrical &#x0026; Computer Engineering,Toronto,ON,Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091138244","display_name":"Navid Hasanzadeh","orcid":"https://orcid.org/0000-0002-1253-4355"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Navid Hasanzadeh","raw_affiliation_strings":["University of Toronto,Department of Electrical &#x0026; Computer Engineering,Toronto,ON,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto,Department of Electrical &#x0026; Computer Engineering,Toronto,ON,Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089951737","display_name":"Shahrokh Valaee","orcid":"https://orcid.org/0000-0001-6254-1660"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shahrokh Valaee","raw_affiliation_strings":["University of Toronto,Department of Electrical &#x0026; Computer Engineering,Toronto,ON,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto,Department of Electrical &#x0026; Computer Engineering,Toronto,ON,Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8542,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81779372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9997000098228455,"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":0.9997000098228455,"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/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9652000069618225,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/computer-science","display_name":"Computer science","score":0.773945152759552},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.6839280724525452},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6766470670700073},{"id":"https://openalex.org/keywords/subcarrier","display_name":"Subcarrier","score":0.6394262909889221},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5327164530754089},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5319559574127197},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5006749629974365},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4150847792625427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35483819246292114},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15652459859848022},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.07768386602401733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.773945152759552},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.6839280724525452},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6766470670700073},{"id":"https://openalex.org/C198329298","wikidata":"https://www.wikidata.org/wiki/Q586358","display_name":"Subcarrier","level":4,"score":0.6394262909889221},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5327164530754089},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5319559574127197},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5006749629974365},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4150847792625427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35483819246292114},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15652459859848022},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.07768386602401733},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg59268.2024.10581974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg59268.2024.10581974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)","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":33,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2118978333","https://openalex.org/W2119821739","https://openalex.org/W2194775991","https://openalex.org/W2295598076","https://openalex.org/W2604676908","https://openalex.org/W2743415265","https://openalex.org/W2754735364","https://openalex.org/W2763219399","https://openalex.org/W2807398657","https://openalex.org/W2890776497","https://openalex.org/W2899145720","https://openalex.org/W2911964244","https://openalex.org/W3118382806","https://openalex.org/W3128981305","https://openalex.org/W3129569718","https://openalex.org/W3155085426","https://openalex.org/W3196221233","https://openalex.org/W3199148273","https://openalex.org/W3216376834","https://openalex.org/W4224918263","https://openalex.org/W4244230525","https://openalex.org/W4295312788","https://openalex.org/W4308366417","https://openalex.org/W4375868907","https://openalex.org/W4387869694","https://openalex.org/W4387870255","https://openalex.org/W4387870990","https://openalex.org/W4389887965","https://openalex.org/W4391420361","https://openalex.org/W4399800964","https://openalex.org/W6631190155","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735","https://openalex.org/W4322710567"],"abstract_inverted_index":{"Advancements":[0],"in":[1],"machine":[2],"learning,":[3],"coupled":[4],"with":[5],"Wi-Fi":[6,37],"sensing":[7,38],"using":[8],"channel":[9],"state":[10],"information":[11],"(CSI),":[12],"have":[13],"emerged":[14],"as":[15],"a":[16,40,81,93,99,104],"powerful":[17],"approach":[18],"for":[19,43,52,67,107,116,122],"human":[20,47,68],"activity":[21],"and":[22,45,92,128],"gesture":[23,69],"recognition.":[24],"Contrary":[25],"to":[26],"camera-based":[27],"systems":[28],"that":[29],"rely":[30],"on":[31,80,98],"capturing":[32,53],"images":[33],"of":[34,84,111,119],"individuals,":[35],"passive":[36],"provides":[39],"non-intrusive":[41],"method":[42,113],"detecting":[44],"interpreting":[46],"movements":[48],"without":[49],"the":[50,88],"need":[51],"detailed":[54],"images.":[55],"In":[56],"this":[57,112],"paper,":[58],"subcarrier":[59],"masking":[60],"contrastive":[61],"transfer":[62],"learning":[63,131],"(SMCTL)":[64],"is":[65,78,114],"proposed":[66],"recognition":[70],"from":[71,103],"CSI":[72,85],"measurements.":[73,86],"The":[74],"unsupervised":[75],"feature":[76,90],"extractor":[77,91],"pretrained":[79],"large-scale":[82],"dataset":[83,101],"Then,":[87],"trained":[89],"classifier":[94],"are":[95],"fine-tuned":[96],"end-to-end":[97],"smaller":[100],"collected":[102],"different":[105],"environment":[106],"cross-domain":[108],"adaptation.":[109],"Performance":[110],"evaluated":[115],"various":[117],"numbers":[118],"fine-tuning":[120],"samples,":[121],"which":[123],"it":[124],"outperforms":[125],"baseline":[126],"supervised":[127],"self-supervised":[129],"deep":[130],"models.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
