{"id":"https://openalex.org/W7134929061","doi":"https://doi.org/10.1109/comsnets67989.2026.11418257","title":"Human Activity Recognition Using 5G RF Sensing and Interpretable Tsetlin Machines","display_name":"Human Activity Recognition Using 5G RF Sensing and Interpretable Tsetlin Machines","publication_year":2026,"publication_date":"2026-01-06","ids":{"openalex":"https://openalex.org/W7134929061","doi":"https://doi.org/10.1109/comsnets67989.2026.11418257"},"language":null,"primary_location":{"id":"doi:10.1109/comsnets67989.2026.11418257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets67989.2026.11418257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 18th International Conference on COMmunication Systems and NETworks (COMSNETS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5121444266","display_name":"Charitha Gadari","orcid":null},"institutions":[{"id":"https://openalex.org/I61631359","display_name":"Kurnool Medical College","ror":"https://ror.org/02j3bag68","country_code":"IN","type":"education","lineage":["https://openalex.org/I170558118","https://openalex.org/I61631359"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Charitha Gadari","raw_affiliation_strings":["Indian Institute of Information Technology, Design and Manufacturing,CSE Department,Kurnool,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology, Design and Manufacturing,CSE Department,Kurnool,India","institution_ids":["https://openalex.org/I61631359"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000928969","display_name":"Sreenivasa Reddy Yeduri","orcid":null},"institutions":[{"id":"https://openalex.org/I61631359","display_name":"Kurnool Medical College","ror":"https://ror.org/02j3bag68","country_code":"IN","type":"education","lineage":["https://openalex.org/I170558118","https://openalex.org/I61631359"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sreenivasa Reddy Yeduri","raw_affiliation_strings":["Indian Institute of Information Technology, Design and Manufacturing,ECE Department,Kurnool,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology, Design and Manufacturing,ECE Department,Kurnool,India","institution_ids":["https://openalex.org/I61631359"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071922620","display_name":"Ole\u2010Christoffer Granmo","orcid":"https://orcid.org/0000-0002-7287-030X"},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Ole-Christoffer Granmo","raw_affiliation_strings":["University of Agder,CAIR Research Group,Department of ICT,Grimstad,Norway,4879"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Agder,CAIR Research Group,Department of ICT,Grimstad,Norway,4879","institution_ids":["https://openalex.org/I200650556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014288820","display_name":"Linga Reddy Cenkeramaddi","orcid":"https://orcid.org/0000-0002-1023-2118"},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Linga Reddy Cenkeramaddi","raw_affiliation_strings":["University of Agder,ACPS Research Group,Department of ICT,Grimstad,Norway,4879"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Agder,ACPS Research Group,Department of ICT,Grimstad,Norway,4879","institution_ids":["https://openalex.org/I200650556"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21033384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"953","last_page":"958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.44670000672340393,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.44670000672340393,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.04769999906420708,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.04259999841451645,"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/activity-recognition","display_name":"Activity recognition","score":0.6801000237464905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47909998893737793},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.33340001106262207},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.27869999408721924},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.2547999918460846}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6801000237464905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6014999747276306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5584999918937683},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47909998893737793},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.33340001106262207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31029999256134033},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.290800005197525},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25119999051094055},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets67989.2026.11418257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets67989.2026.11418257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 18th International Conference on COMmunication Systems and NETworks (COMSNETS)","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":9,"referenced_works":["https://openalex.org/W2129045955","https://openalex.org/W3161507190","https://openalex.org/W3199488820","https://openalex.org/W4285183690","https://openalex.org/W4312925166","https://openalex.org/W4384338728","https://openalex.org/W4402187472","https://openalex.org/W4402751380","https://openalex.org/W4411269995"],"related_works":[],"abstract_inverted_index":{"Sensor-based":[0],"human":[1,46,66,147],"activity":[2,47,67,148,178],"classification":[3],"has":[4],"been":[5],"widely":[6],"used":[7],"for":[8,65,71,143],"various":[9,93],"applications":[10],"in":[11,176],"games,":[12],"healthcare,":[13],"human-computer":[14],"interaction,":[15],"and":[16,26,69,122,145],"numerous":[17],"other":[18],"applications.":[19],"However,":[20],"this":[21,35,37],"requires":[22],"additional":[23],"sensor":[24],"installation":[25],"maintenance,":[27],"which":[28,137],"increases":[29],"the":[30,61,96,99,106,109,115,119,126,129,152,164,171,177],"overall":[31],"cost.":[32],"To":[33],"address":[34],"challenge,":[36],"work":[38],"proposes":[39],"a":[40,79,158],"fifth-generation":[41],"(5G)":[42],"radio":[43],"frequency":[44],"(RF)-based":[45],"recognition":[48,68],"framework":[49,56],"utilizing":[50],"Tsetlin":[51],"Machine":[52],"(TM).":[53],"The":[54,74],"proposed":[55],"takes":[57],"advantage":[58],"of":[59,78,125,161],"using":[60,84,134],"existing":[62],"5G":[63,80],"infrastructure":[64],"TM":[70,142,153],"interpretable":[72,146,165],"classification.":[73],"experimental":[75],"setup":[76,82],"consists":[77],"transceiver":[81],"established":[83],"Ettus":[85],"E312":[86],"software-defined":[87],"radios,":[88],"with":[89],"different":[90],"persons":[91],"performing":[92],"activities":[94],"within":[95],"vicinity.":[97],"On":[98],"extracted":[100],"channel":[101],"state":[102],"information":[103],"(CSI)":[104],"from":[105,118],"received":[107],"signal,":[108],"data":[110,131],"is":[111,132,138,154],"cleaned":[112,130],"by":[113],"removing":[114],"initial":[116],"samples":[117],"real,":[120],"imaginary,":[121],"absolute":[123],"values":[124],"data.":[127],"Next,":[128],"binarized":[133],"mean-threshold":[135],"binarization,":[136],"then":[139],"fed":[140],"to":[141,156,169],"accurate":[144],"recognition.":[149,179],"Through":[150],"experiments,":[151],"shown":[155],"achieve":[157],"higher":[159],"accuracy":[160],"95.61%.":[162],"Additionally,":[163],"results":[166],"are":[167],"presented":[168],"identify":[170],"input":[172],"features":[173],"that":[174],"help":[175]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-12T00:00:00"}
