{"id":"https://openalex.org/W4405179901","doi":"https://doi.org/10.1109/access.2024.3514140","title":"Combined Activity Recognition Based on Continuous-wave Radar and Vision Transformer","display_name":"Combined Activity Recognition Based on Continuous-wave Radar and Vision Transformer","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4405179901","doi":"https://doi.org/10.1109/access.2024.3514140"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3514140","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3514140","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3514140","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102864645","display_name":"Junhao Zhou","orcid":"https://orcid.org/0009-0001-4573-9381"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Junhao Zhou","raw_affiliation_strings":["Electronic Engineering Department, Kwangwoon University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering Department, Kwangwoon University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003821137","display_name":"Chao Sun","orcid":"https://orcid.org/0000-0002-4017-6700"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chao Sun","raw_affiliation_strings":["Electronic Engineering Department, Kwangwoon University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering Department, Kwangwoon University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040764149","display_name":"Youngok Kim","orcid":"https://orcid.org/0000-0002-1531-4745"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngok Kim","raw_affiliation_strings":["Electronic Engineering Department, Kwangwoon University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering Department, Kwangwoon University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I161024014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102864645"],"corresponding_institution_ids":["https://openalex.org/I161024014"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.196,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50983217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.6743999719619751,"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"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.6743999719619751,"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/computer-science","display_name":"Computer science","score":0.5964381694793701},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5191899538040161},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5018184185028076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49549758434295654},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4906081259250641},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.44626399874687195},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3601676821708679},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.15493881702423096},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1496315896511078},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14921945333480835},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.12024375796318054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5964381694793701},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5191899538040161},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5018184185028076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49549758434295654},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4906081259250641},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.44626399874687195},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3601676821708679},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.15493881702423096},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1496315896511078},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14921945333480835},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.12024375796318054}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3514140","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3514140","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ae207fdf455e45e0b5960c38eef3d1ae","is_oa":true,"landing_page_url":"https://doaj.org/article/ae207fdf455e45e0b5960c38eef3d1ae","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 185448-185459 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3514140","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3514140","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.550000011920929,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2026883296","https://openalex.org/W2143612262","https://openalex.org/W2153594606","https://openalex.org/W2157770256","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2626764419","https://openalex.org/W2798205579","https://openalex.org/W2963172626","https://openalex.org/W3027738413","https://openalex.org/W3039610325","https://openalex.org/W3114558802","https://openalex.org/W3134230466","https://openalex.org/W3156725333","https://openalex.org/W3157995327","https://openalex.org/W3174351785","https://openalex.org/W4200465990","https://openalex.org/W4210654500","https://openalex.org/W4214482791","https://openalex.org/W4223616928","https://openalex.org/W4282601491","https://openalex.org/W4283697364","https://openalex.org/W4285079306","https://openalex.org/W4285300395","https://openalex.org/W4289950744","https://openalex.org/W4294811332","https://openalex.org/W4309332687","https://openalex.org/W4312374339","https://openalex.org/W4312941128","https://openalex.org/W4380763457","https://openalex.org/W4383337834","https://openalex.org/W4383503536","https://openalex.org/W4385245566","https://openalex.org/W4385811999","https://openalex.org/W4386824757","https://openalex.org/W4387119175","https://openalex.org/W4387609099","https://openalex.org/W4387623802","https://openalex.org/W4389921278","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6762718338"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2779427294","https://openalex.org/W2775347418","https://openalex.org/W2625805835","https://openalex.org/W2079911747","https://openalex.org/W3116076068","https://openalex.org/W3003936178","https://openalex.org/W4313855562","https://openalex.org/W2091422131","https://openalex.org/W2742737769"],"abstract_inverted_index":{"Emergency":[0],"scenario":[1,17],"recognition":[2,18,185],"has":[3],"diverse":[4],"applications,":[5],"including":[6,66],"monitoring":[7],"older":[8],"adults":[9],"living":[10],"alone":[11],"and":[12,29,44,81,86,91,93,96,99,105,155],"detecting":[13],"crimes.":[14],"Predominantly,":[15],"emergency":[16,49,64],"methods":[19],"rely":[20],"on":[21,35,120,160],"cameras,":[22],"presenting":[23],"privacy":[24],"issues,":[25],"especially":[26],"in":[27],"bathrooms":[28],"homes.":[30],"Additionally,":[31],"most":[32],"studies":[33],"concentrate":[34],"recognizing":[36],"simple":[37],"isolated":[38,55],"activity":[39],"such":[40,77],"as":[41,71,73,78],"falling":[42,67,79,89],"down":[43,80,85,90,95,101],"lying":[45,69,84,94,100],"down.":[46],"However,":[47],"real-life":[48],"scenarios":[50],"often":[51],"more":[52],"than":[53],"just":[54],"activity.":[56],"This":[57],"paper":[58],"introduces":[59],"a":[60],"method":[61],"for":[62,152],"classifying":[63],"scenarios,":[65,104],"down,":[68,70],"well":[72],"the":[74,109,121,132,177],"combined":[75],"activities":[76],"standing":[82,87],"up,":[83,88],"crawling,":[92],"crawling.":[97],"Falling":[98],"are":[102],"similar":[103],"we":[106,143],"consider":[107],"that":[108],"people":[110],"may":[111],"stand":[112],"up":[113],"or":[114],"crawl":[115],"afterward.":[116],"Our":[117],"approach":[118],"hinges":[119],"micro-Doppler":[122,139],"features":[123],"derived":[124],"from":[125],"continuous-wave":[126],"radar":[127,134],"signals.":[128],"We":[129],"first":[130],"process":[131],"human-generated":[133],"echo":[135],"signals":[136],"to":[137,169],"produce":[138],"spectrogram":[140],"images.":[141],"Subsequently,":[142],"propose":[144],"an":[145,183],"AI":[146],"model":[147],"utilizing":[148],"multi-head":[149],"attention":[150],"mechanisms":[151],"image":[153],"training":[154],"testing,":[156],"demonstrating":[157],"strong":[158],"performance":[159],"our":[161,180],"small":[162],"datasets":[163],"while":[164],"reducing":[165],"computational":[166],"complexity":[167],"compared":[168],"precious":[170],"vision":[171],"transformer":[172],"models.":[173],"Preliminary":[174],"results":[175],"highlight":[176],"efficacy":[178],"of":[179],"approach,":[181],"with":[182],"average":[184],"accuracy":[186],"exceeding":[187],"95%.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}