{"id":"https://openalex.org/W3092972698","doi":"https://doi.org/10.1145/3394171.3413801","title":"Multi-Person Action Recognition in Microwave Sensors","display_name":"Multi-Person Action Recognition in Microwave Sensors","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3092972698","doi":"https://doi.org/10.1145/3394171.3413801","mag":"3092972698"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3413801","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","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/A5058366140","display_name":"Diangang Li","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":"Diangang Li","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079797505","display_name":"Jianquan Liu","orcid":"https://orcid.org/0000-0003-4303-9020"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jianquan Liu","raw_affiliation_strings":["NEC Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043621115","display_name":"Shoji Nishimura","orcid":"https://orcid.org/0000-0001-5975-2002"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoji Nishimura","raw_affiliation_strings":["NEC Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059278068","display_name":"Yuka Hayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuka Hayashi","raw_affiliation_strings":["NEC Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069082772","display_name":"Jun Suzuki","orcid":"https://orcid.org/0000-0002-5441-9486"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Suzuki","raw_affiliation_strings":["NEC Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687952","display_name":"Yihong Gong","orcid":"https://orcid.org/0000-0002-1793-5836"},"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":"Yihong Gong","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1958,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5093993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"411","last_page":"420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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":0.998199999332428,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7961738109588623},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.5914700031280518},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.47094711661338806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4683273136615753},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.45556047558784485},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.44975608587265015},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4432961046695709},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42206957936286926},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.41105917096138},{"id":"https://openalex.org/keywords/bluetooth","display_name":"Bluetooth","score":0.4108855426311493},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.24838531017303467},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17667022347450256},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.08867833018302917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7961738109588623},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.5914700031280518},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.47094711661338806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4683273136615753},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.45556047558784485},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.44975608587265015},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4432961046695709},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42206957936286926},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.41105917096138},{"id":"https://openalex.org/C546215728","wikidata":"https://www.wikidata.org/wiki/Q39531","display_name":"Bluetooth","level":3,"score":0.4108855426311493},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.24838531017303467},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17667022347450256},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.08867833018302917},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394171.3413801","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1595717062","https://openalex.org/W1945608308","https://openalex.org/W1980061733","https://openalex.org/W2096733369","https://openalex.org/W2102159699","https://openalex.org/W2104239624","https://openalex.org/W2105101328","https://openalex.org/W2106424823","https://openalex.org/W2133324800","https://openalex.org/W2141336889","https://openalex.org/W2142194269","https://openalex.org/W2155226385","https://openalex.org/W2157364932","https://openalex.org/W2163605009","https://openalex.org/W2172292165","https://openalex.org/W2194775991","https://openalex.org/W2214871046","https://openalex.org/W2221898772","https://openalex.org/W2296311849","https://openalex.org/W2342662179","https://openalex.org/W2358876993","https://openalex.org/W2467139031","https://openalex.org/W2507009361","https://openalex.org/W2549139847","https://openalex.org/W2553594924","https://openalex.org/W2605572715","https://openalex.org/W2606377603","https://openalex.org/W2612703655","https://openalex.org/W2626361187","https://openalex.org/W2752386593","https://openalex.org/W2752782242","https://openalex.org/W2767089292","https://openalex.org/W2773108469","https://openalex.org/W2932399282","https://openalex.org/W2938514801","https://openalex.org/W2952586546","https://openalex.org/W2957702778","https://openalex.org/W2962858109","https://openalex.org/W2962934715","https://openalex.org/W2963052338","https://openalex.org/W2963091558","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963524571","https://openalex.org/W2963745697","https://openalex.org/W2963960612","https://openalex.org/W2963980128","https://openalex.org/W2981356320","https://openalex.org/W2982112268","https://openalex.org/W2990503944","https://openalex.org/W3000533570","https://openalex.org/W3009965052","https://openalex.org/W3099206234","https://openalex.org/W3123972834"],"related_works":["https://openalex.org/W4220926637","https://openalex.org/W2362681120","https://openalex.org/W2376320007","https://openalex.org/W4376643979","https://openalex.org/W2322402661","https://openalex.org/W2389079374","https://openalex.org/W2372429262","https://openalex.org/W2903653170","https://openalex.org/W2351967314","https://openalex.org/W2967161677"],"abstract_inverted_index":{"The":[0,93,143,218],"usage":[1,39],"of":[2,23,40,53,66,76,134,148,206,213,234],"surveillance":[3],"cameras":[4,24],"for":[5,25,86,117,153,186],"video":[6],"understanding,":[7],"raises":[8],"concerns":[9],"about":[10],"privacy":[11,78],"intrusion":[12],"recently.":[13],"This":[14],"motivates":[15],"the":[16,38,50,67,73,132,136,146,150,159,173,184,203,211,226],"research":[17],"community":[18],"to":[19,30,45,182,201,230],"seek":[20],"potential":[21],"alternatives":[22],"emerging":[26],"multimedia":[27],"applications.":[28],"Stepping":[29],"this":[31,91],"goal,":[32],"a":[33,82,163,191],"few":[34],"researchers":[35],"have":[36],"explored":[37],"Wi-Fi":[41],"or":[42],"Bluetooth":[43],"sensors":[44,55],"handle":[46],"action":[47,88,118,155,187],"recognition.":[48,119,156,188],"However,":[49],"practical":[51],"ability":[52],"these":[54],"is":[56,103,131,145],"limited":[57],"by":[58,72,167],"their":[59],"frequency":[60],"band":[61],"and":[62,102,108,179,197,210],"deployment":[63],"inconvenience":[64],"because":[65],"separate":[68],"transmitter/receiver":[69],"architecture.":[70],"Motivated":[71],"same":[74],"purpose":[75],"reducing":[77],"issues,":[79],"we":[80,161],"introduce":[81],"latest":[83],"microwave":[84,94,193],"sensor":[85,95,194],"multi-person":[87],"recognition":[89,204],"in":[90,215,232],"paper.":[92],"works":[96],"at":[97],"77GHz":[98],"~":[99],"80GHz":[100],"band,":[101],"implemented":[104],"with":[105,121,140,172],"both":[106],"transmitter":[107],"receiver":[109],"inside":[110],"itself,":[111],"thus":[112],"can":[113],"be":[114],"easily":[115],"deployed":[116],"Although":[120],"its":[122],"advantages,":[123],"two":[124],"main":[125],"challenging":[126],"issues":[127],"still":[128],"remain.":[129],"One":[130],"difficulty":[133,147],"labelling":[135],"invisible":[137],"signal":[138],"data":[139,195],"embedding":[141],"actions.":[142],"other":[144],"cancelling":[149],"environment":[151],"noise":[152],"high-accurate":[154],"To":[157],"address":[158],"challenges,":[160],"propose":[162],"novel":[164],"learning":[165,178],"framework":[166,224],"designed":[168],"original":[169],"loss":[170],"functions":[171],"considerations":[174],"on":[175],"weakly-supervised":[176],"multi-label":[177],"attention":[180],"mechanism":[181],"improve":[183],"accuracy":[185,205],"We":[189],"build":[190],"new":[192],"set,":[196],"conduct":[198],"comprehensive":[199],"experiments":[200],"evaluate":[202],"our":[207,223],"proposed":[208],"framework,":[209],"effectiveness":[212],"parameters":[214],"each":[216],"component.":[217],"experiment":[219],"results":[220],"show":[221],"that":[222],"outperforms":[225],"state-of-the-art":[227],"methods":[228],"up":[229],"14%":[231],"terms":[233],"mAP.":[235]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
