{"id":"https://openalex.org/W3047553107","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156151","title":"Capturing Human Pose Using mmWave Radar","display_name":"Capturing Human Pose Using mmWave Radar","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3047553107","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156151","mag":"3047553107"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops48775.2020.9156151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","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/A5082719851","display_name":"Guangzheng Li","orcid":"https://orcid.org/0000-0002-4374-0856"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangzheng Li","raw_affiliation_strings":["Southern University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379809","display_name":"Ze Zhang","orcid":"https://orcid.org/0000-0002-9084-0374"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Zhang","raw_affiliation_strings":["Southern University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078827558","display_name":"Hanmei Yang","orcid":"https://orcid.org/0000-0002-0114-1732"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanmei Yang","raw_affiliation_strings":["Southern University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034755490","display_name":"Jin Pan","orcid":"https://orcid.org/0000-0002-4994-8471"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Pan","raw_affiliation_strings":["Southern University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103086222","display_name":"Dayin Chen","orcid":"https://orcid.org/0000-0002-6810-0521"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dayin Chen","raw_affiliation_strings":["Southern University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100735527","display_name":"Jin Zhang","orcid":"https://orcid.org/0000-0001-9001-1931"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Zhang","raw_affiliation_strings":["Southern University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5082719851"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":3.2364,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.93491114,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9940999746322632,"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":0.7849861979484558},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.6918587684631348},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.679077684879303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6750679612159729},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6737044453620911},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6712481379508972},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5091885924339294},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21179518103599548},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11153268814086914}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7849861979484558},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.6918587684631348},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.679077684879303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6750679612159729},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6737044453620911},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6712481379508972},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5091885924339294},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21179518103599548},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11153268814086914},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomworkshops48775.2020.9156151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","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":23,"referenced_works":["https://openalex.org/W1585879837","https://openalex.org/W1666724740","https://openalex.org/W1677182931","https://openalex.org/W2056898157","https://openalex.org/W2175012183","https://openalex.org/W2304648132","https://openalex.org/W2382036597","https://openalex.org/W2509865052","https://openalex.org/W2559085405","https://openalex.org/W2608873842","https://openalex.org/W2799062425","https://openalex.org/W2827033964","https://openalex.org/W2916798096","https://openalex.org/W2963781481","https://openalex.org/W2964304707","https://openalex.org/W2974226806","https://openalex.org/W2997932427","https://openalex.org/W3098936769","https://openalex.org/W6635170509","https://openalex.org/W6637178039","https://openalex.org/W6697974390","https://openalex.org/W6709775842","https://openalex.org/W6725514049"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W2894986065","https://openalex.org/W4387967917","https://openalex.org/W4287600488","https://openalex.org/W4386925306","https://openalex.org/W2736638679","https://openalex.org/W4313046826","https://openalex.org/W1968716783","https://openalex.org/W2369026988"],"abstract_inverted_index":{"Human":[0],"pose":[1,9,38],"estimation":[2,39],"is":[3,48],"an":[4,35,129],"important":[5],"task.":[6,63],"Traditional":[7],"human":[8,37,78,99],"capturing":[10],"systems":[11],"are":[12],"based":[13],"on":[14,72,120],"images":[15],"or":[16,69],"videos,":[17],"which":[18],"may":[19],"suffer":[20],"from":[21,105,111],"bad":[22],"light":[23],"and":[24,90,107,123,135],"raise":[25],"the":[26,42,49,73,77,116,125],"concerns":[27],"of":[28,133],"privacy.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33],"proposed":[34,126],"accurate":[36],"system":[40,65,81],"using":[41],"77GHz":[43],"millimeter":[44,56],"wave":[45,57],"radar.":[46],"It":[47],"first":[50,82],"time":[51],"that":[52],"people":[53],"use":[54,102],"off-the-shelf":[55],"radar":[58,85,106],"to":[59,75,87,94,114],"complete":[60],"such":[61],"a":[62],"Our":[64],"requires":[66],"no":[67],"camera":[68,112],"specific":[70],"sensors":[71],"body":[74],"estimate":[76],"skeleton.":[79],"The":[80],"uses":[83],"two":[84],"data":[86],"generate":[88],"heatmaps":[89,97,104],"then":[91],"adopts":[92],"CNN":[93],"transform":[95],"two-dimensional":[96],"into":[98],"pose.":[100],"We":[101],"coordinated":[103],"visual":[108],"inputs":[109],"extracting":[110],"together":[113],"train":[115],"designed":[117],"network.":[118],"Based":[119],"our":[121],"dataset":[122],"system,":[124],"method":[127],"achieves":[128],"average":[130],"OKS":[131],"value":[132],"0.705":[134],"0.877":[136],"in":[137],"AP":[138],"50.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":6}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}
