{"id":"https://openalex.org/W3039256035","doi":"https://doi.org/10.1109/percom45495.2020.9127374","title":"Beamsteering for Training-free Counting of Multiple Humans Performing Distinct Activities","display_name":"Beamsteering for Training-free Counting of Multiple Humans Performing Distinct Activities","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3039256035","doi":"https://doi.org/10.1109/percom45495.2020.9127374","mag":"3039256035"},"language":"en","primary_location":{"id":"doi:10.1109/percom45495.2020.9127374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom45495.2020.9127374","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 (PerCom)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.aalto.fi/files/51096457/Beamsteering_for_Training_free_Counting_of.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052501082","display_name":"Sameera Palipana","orcid":"https://orcid.org/0000-0003-2532-2076"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sameera Palipana","raw_affiliation_strings":["Department of Communications and Networking, Aalto University, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications and Networking, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053292026","display_name":"Nicolas Malm","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Nicolas Malm","raw_affiliation_strings":["Department of Communications and Networking, Aalto University, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications and Networking, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045150110","display_name":"Stephan Sigg","orcid":"https://orcid.org/0000-0001-6118-3355"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Stephan Sigg","raw_affiliation_strings":["Department of Communications and Networking, Aalto University, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications and Networking, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":0.1041,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4215069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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":1.0,"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":0.9995999932289124,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7826566696166992},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6101855635643005},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5314245223999023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5269299745559692},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.4711053967475891},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.4576200246810913},{"id":"https://openalex.org/keywords/anechoic-chamber","display_name":"Anechoic chamber","score":0.444705605506897},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.413940966129303},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4072631895542145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36078768968582153},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13750794529914856}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7826566696166992},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6101855635643005},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5314245223999023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5269299745559692},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.4711053967475891},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.4576200246810913},{"id":"https://openalex.org/C149712133","wikidata":"https://www.wikidata.org/wiki/Q332774","display_name":"Anechoic chamber","level":2,"score":0.444705605506897},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.413940966129303},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4072631895542145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36078768968582153},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13750794529914856},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/percom45495.2020.9127374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom45495.2020.9127374","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 (PerCom)","raw_type":"proceedings-article"},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/46431","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/709188f2-0473-4e2d-b563-2fd20fb36d3e","pdf_url":"https://research.aalto.fi/files/51096457/Beamsteering_for_Training_free_Counting_of.pdf","source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"}],"best_oa_location":{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/46431","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/709188f2-0473-4e2d-b563-2fd20fb36d3e","pdf_url":"https://research.aalto.fi/files/51096457/Beamsteering_for_Training_free_Counting_of.pdf","source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.49000000953674316}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338463","display_name":"CHIST-ERA","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3039256035.pdf","grobid_xml":"https://content.openalex.org/works/W3039256035.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1015092295","https://openalex.org/W1534304300","https://openalex.org/W1666724740","https://openalex.org/W1983301216","https://openalex.org/W1989115430","https://openalex.org/W1989207420","https://openalex.org/W1996347321","https://openalex.org/W2015155523","https://openalex.org/W2033819483","https://openalex.org/W2037537012","https://openalex.org/W2039506494","https://openalex.org/W2046128267","https://openalex.org/W2049338372","https://openalex.org/W2065726711","https://openalex.org/W2085558032","https://openalex.org/W2094537981","https://openalex.org/W2098515641","https://openalex.org/W2108611194","https://openalex.org/W2123649031","https://openalex.org/W2124757684","https://openalex.org/W2128160875","https://openalex.org/W2141336889","https://openalex.org/W2170589361","https://openalex.org/W2202906899","https://openalex.org/W2229908198","https://openalex.org/W2294724112","https://openalex.org/W2344757691","https://openalex.org/W2391401965","https://openalex.org/W2400311702","https://openalex.org/W2507908806","https://openalex.org/W2517331439","https://openalex.org/W2560305784","https://openalex.org/W2763148304","https://openalex.org/W2783857023","https://openalex.org/W2784220689","https://openalex.org/W2792312025","https://openalex.org/W2899083723","https://openalex.org/W2978847050","https://openalex.org/W4393727228","https://openalex.org/W6637178039","https://openalex.org/W6688062685","https://openalex.org/W6863240381"],"related_works":["https://openalex.org/W2017779656","https://openalex.org/W2001172292","https://openalex.org/W2169567031","https://openalex.org/W1849802015","https://openalex.org/W3097766872","https://openalex.org/W2091951235","https://openalex.org/W4239222529","https://openalex.org/W2354873283","https://openalex.org/W2023041720","https://openalex.org/W2353977479"],"abstract_inverted_index":{"Recognition":[0],"of":[1,4,104,153,164],"the":[2,105,128,132,145,151,162,165,175,202,218],"context":[3],"humans":[5,176],"plays":[6],"an":[7,70,94,197],"important":[8],"role":[9],"in":[10,25,79,93,97,122,131,177,188],"pervasive":[11],"applications":[12],"such":[13],"as":[14,28,30],"intrusion":[15],"detection,":[16],"human":[17,91,120,137],"density":[18],"estimation":[19],"for":[20,33,55,76],"heating,":[21],"ventilation":[22],"and":[23,85,100,112,143,212],"air-conditioning":[24],"smart":[26],"buildings,":[27],"well":[29],"safety":[31],"guarantee":[32],"workers":[34],"during":[35],"human-robot":[36],"interaction.":[37],"Radio":[38],"vision":[39],"is":[40,60],"able":[41],"to":[42,61,83,118,136,185],"provide":[43],"these":[44],"sensing":[45,58],"capabilities":[46],"with":[47,196],"low":[48],"privacy":[49],"intrusion.":[50],"A":[51],"common":[52],"challenge":[53],"though,":[54],"current":[56],"radio":[57],"solutions":[59],"distinguish":[62],"simultaneous":[63],"movement":[64],"from":[65,88,217],"multiple":[66],"subjects.":[67],"We":[68,108,126,149,206],"present":[69],"approach":[71,155],"that":[72,199,208],"exploits":[73],"antenna":[74],"installations,":[75],"instance,":[77],"found":[78],"upcoming":[80],"5G":[81],"technology,":[82],"detect":[84,119],"extract":[86],"activities":[87,211],"spatially":[89],"scattered":[90],"targets":[92],"ad-hoc":[95],"manner":[96],"arbitrary":[98],"environments":[99],"without":[101,181],"prior":[102,182],"training":[103],"multi-subject":[106],"detection.":[107],"perform":[109],"receiver-side":[110],"beamforming":[111],"beam-sweeping":[113],"over":[114],"different":[115],"azimuth":[116],"angles":[117],"presence":[121],"those":[123],"regions":[124],"separately.":[125],"characterize":[127],"resultant":[129],"fluctuations":[130],"spatial":[133,167,219],"streams":[134,168,220],"due":[135],"influence":[138],"using":[139],"a":[140,170,178,189],"case":[141],"study":[142],"make":[144],"traces":[146],"publicly":[147],"available.":[148],"demonstrate":[150,207],"potential":[152],"this":[154],"through":[156,221],"two":[157],"applications:":[158],"1)":[159],"By":[160],"feeding":[161],"similarities":[163],"resulting":[166],"into":[169],"clustering":[171],"algorithm,":[172],"we":[173],"count":[174],"given":[179],"area":[180,195],"training.":[183],"(up":[184],"6":[186],"people":[187],"22.4":[190],"m":[191],"<sup":[192],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[193],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[194],"accuracy":[198],"significantly":[200],"exceeds":[201],"related":[203],"work).":[204],"2)":[205],"simultaneously":[209],"conducted":[210],"gestures":[213],"can":[214],"be":[215],"extracted":[216],"blind":[222],"source":[223],"separation.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}