{"id":"https://openalex.org/W4402159138","doi":"https://doi.org/10.1109/icc51166.2024.10623053","title":"Robust Multi-User Pose Estimation Based on Spatial and Temporal Features from WiFi CSI","display_name":"Robust Multi-User Pose Estimation Based on Spatial and Temporal Features from WiFi CSI","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4402159138","doi":"https://doi.org/10.1109/icc51166.2024.10623053"},"language":"en","primary_location":{"id":"doi:10.1109/icc51166.2024.10623053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10623053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","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/A5112951776","display_name":"Ting-Wei Hsu","orcid":"https://orcid.org/0000-0003-3703-184X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ting-Wei Hsu","raw_affiliation_strings":["Graduate Institute of Communication Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Communication Engineering","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010158414","display_name":"Hung\u2010Yun Hsieh","orcid":"https://orcid.org/0000-0003-1351-3772"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hung-Yun Hsieh","raw_affiliation_strings":["Graduate Institute of Communication Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Communication Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1856,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49649914,"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":"1600","last_page":"1605"},"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":0.9944999814033508,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9891999959945679,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8116006851196289},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6003073453903198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45433053374290466},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.43342119455337524},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4141434133052826},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39741143584251404},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32886236906051636},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0794583261013031}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8116006851196289},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6003073453903198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45433053374290466},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.43342119455337524},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4141434133052826},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39741143584251404},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32886236906051636},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0794583261013031},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"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/icc51166.2024.10623053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10623053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","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":15,"referenced_works":["https://openalex.org/W2080873731","https://openalex.org/W2827033964","https://openalex.org/W2933379262","https://openalex.org/W2934563761","https://openalex.org/W2940661151","https://openalex.org/W2962730651","https://openalex.org/W2997222501","https://openalex.org/W3010205642","https://openalex.org/W3021587713","https://openalex.org/W3083015740","https://openalex.org/W3194370845","https://openalex.org/W4200171432","https://openalex.org/W4235628085","https://openalex.org/W4284880289","https://openalex.org/W4310054432"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W4387967917","https://openalex.org/W4386925306","https://openalex.org/W4387968151","https://openalex.org/W3132124459","https://openalex.org/W2946083937","https://openalex.org/W2736638679","https://openalex.org/W4313046826","https://openalex.org/W1968716783"],"abstract_inverted_index":{"Pose":[0],"estimation":[1,80],"based":[2],"on":[3,21,36,53],"WiFi":[4],"channel":[5],"state":[6],"information":[7,111],"(CSI)":[8],"has":[9],"gained":[10],"popularity":[11],"in":[12,184,191],"recent":[13],"years.":[14],"Most":[15],"existing":[16,116,180],"works,":[17],"however,":[18],"focus":[19],"only":[20,121],"scenarios":[22,188],"with":[23,189],"a":[24],"single":[25],"user.":[26],"For":[27],"those":[28],"research":[29],"endeavors":[30],"that":[31,81,120,175],"can":[32,82],"handle":[33],"multi-user":[34,78,206],"scenarios,":[35],"the":[37,43,54,93,107,126,153,156,167,170,179,192,196],"other":[38],"hand,":[39],"they":[40],"suffer":[41],"from":[42,145],"robustness":[44],"problem":[45],"against":[46],"environment":[47,86],"changes":[48,190],"due":[49],"to":[50,70,85,138,165],"their":[51],"reliance":[52],"use":[55,71,91],"of":[56,95,99,112,155,169,198],"domain-specific":[57],"features":[58,76,89,204],"such":[59],"as":[60],"CSI":[61,123,147],"amplitude":[62],"and":[63,74,102,109,142,149,202],"phase.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68,90,134],"propose":[69,135],"both":[72,200],"spatial":[73,201],"temporal":[75,203],"for":[77,105,151,205],"pose":[79,207],"show":[83,174],"resilience":[84],"changes.":[87],"The":[88],"combine":[92],"angle":[94],"arrival":[96],"(AoA),":[97],"time":[98,127],"flight":[100],"(ToF),":[101],"Doppler":[103],"shift":[104],"capturing":[106],"location":[108],"motion":[110],"multiple":[113],"users.":[114],"Unlike":[115],"feature":[117],"extraction":[118],"methods":[119,137],"take":[122],"either":[124],"along":[125],"axis":[128],"or":[129],"across":[130,186],"different":[131,187],"frequency":[132],"subcarriers,":[133],"new":[136],"jointly":[139],"estimate":[140],"AoA-ToF":[141],"AoA-Doppler":[143],"heatmaps":[144],"consecutive":[146],"samples":[148],"subcarriers":[150],"increasing":[152],"resolutions":[154],"desired":[157],"features.":[158],"An":[159],"experiment":[160],"testbed":[161],"is":[162],"set":[163],"up":[164],"evaluate":[166],"performance":[168],"proposed":[171],"system.":[172],"Results":[173],"our":[176],"system":[177],"outperforms":[178],"model":[181],"by":[182],"12%":[183],"precision":[185],"environment,":[193],"thus":[194],"substantiating":[195],"benefits":[197],"using":[199],"estimation.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
