{"id":"https://openalex.org/W4408898003","doi":"https://doi.org/10.1109/secon64284.2024.10934903","title":"LoDiHAR: A Low-Cost Distributed Human Activity Recognition System Based on RFID","display_name":"LoDiHAR: A Low-Cost Distributed Human Activity Recognition System Based on RFID","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4408898003","doi":"https://doi.org/10.1109/secon64284.2024.10934903"},"language":"en","primary_location":{"id":"doi:10.1109/secon64284.2024.10934903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/secon64284.2024.10934903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 21st Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","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/A5101258786","display_name":"Xiaoqi Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqi Sun","raw_affiliation_strings":["Hunan University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084795658","display_name":"Yanwen Wang","orcid":"https://orcid.org/0000-0002-8754-4355"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwen Wang","raw_affiliation_strings":["Hunan University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050762766","display_name":"Chenwei Zhang","orcid":"https://orcid.org/0000-0003-1765-0328"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenwei Zhang","raw_affiliation_strings":["Hunan University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401045","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0001-6157-0662"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["Hunan University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062722834","display_name":"Xiaokang Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Shi","raw_affiliation_strings":["Hunan University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091556511","display_name":"Yuanqing Zheng","orcid":"https://orcid.org/0000-0003-3096-687X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuanqing Zheng","raw_affiliation_strings":["The Hong Kong Polytechnic University,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Hong Kong,China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9714000225067139,"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":0.9714000225067139,"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":0.6457377672195435},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4501058757305145},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3417384624481201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21512603759765625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6457377672195435},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4501058757305145},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3417384624481201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21512603759765625}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/secon64284.2024.10934903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/secon64284.2024.10934903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 21st Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8585912872","display_name":null,"funder_award_id":"62202394","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1927052826","https://openalex.org/W1983171295","https://openalex.org/W2027800248","https://openalex.org/W2106996050","https://openalex.org/W2153767810","https://openalex.org/W2162898553","https://openalex.org/W2338892592","https://openalex.org/W2340862004","https://openalex.org/W2461706687","https://openalex.org/W2508345357","https://openalex.org/W2519826368","https://openalex.org/W2605973302","https://openalex.org/W2891267845","https://openalex.org/W2897106987","https://openalex.org/W2907410812","https://openalex.org/W2918021868","https://openalex.org/W2942065897","https://openalex.org/W2964094092","https://openalex.org/W3009727746","https://openalex.org/W3047147270","https://openalex.org/W3119861781","https://openalex.org/W3137585630","https://openalex.org/W3156632615","https://openalex.org/W4214761327","https://openalex.org/W4306178631","https://openalex.org/W4315473426","https://openalex.org/W4383620541","https://openalex.org/W4386113242","https://openalex.org/W4387212013","https://openalex.org/W4387227511","https://openalex.org/W4387542687","https://openalex.org/W4387872907","https://openalex.org/W4388011436","https://openalex.org/W4392567293"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3195649134","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Human":[0],"Activity":[1],"Recognition":[2],"has":[3],"been":[4],"extensively":[5],"applied":[6],"to":[7,75,90,177],"fulfill":[8],"tasks":[9],"such":[10,124],"as":[11,125],"fall":[12],"detection,":[13],"human-computer":[14],"interaction,":[15],"virtual":[16],"reality,":[17],"etc.":[18],"Existing":[19],"radio":[20],"frequency-based":[21],"HAR":[22,56],"methods,":[23],"although":[24],"overcoming":[25],"limitations":[26],"of":[27,79,121,166,175,183],"wearable-,":[28],"visual-,":[29],"and":[30,39,66,137],"acoustic-based":[31],"sensing":[32,109],"technology,":[33],"still":[34],"suffer":[35],"from":[36,95,129],"high":[37],"costs":[38],"low":[40],"efficiency,":[41],"which":[42,84,111],"limits":[43],"their":[44],"pervasive":[45],"use.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"propose":[51],"LoDiHAR,":[52],"a":[53,101,107,119,149],"low-cost,":[54],"distributed":[55,108,133],"system":[57],"leveraging":[58],"Radio":[59],"Frequency":[60],"Identification":[61],"technology.":[62],"LoDiHAR":[63,105,117,159],"employs":[64],"low-cost":[65],"fully":[67],"programmable":[68],"commercial":[69],"wireless":[70],"components,":[71],"providing":[72],"full":[73],"access":[74],"the":[76,80,184],"PHY":[77],"samples":[78],"backscattered":[81,130],"signals,":[82,131],"in":[83,162],"signal":[85],"phases":[86],"can":[87],"be":[88],"extracted":[89],"infer":[91],"different":[92],"activities.":[93],"Different":[94],"COTS":[96,186],"RFID":[97,187],"systems":[98],"that":[99],"adopt":[100],"polling":[102],"interrogation":[103],"scheme,":[104,110],"supports":[106],"profiles":[112],"human":[113,167],"activities":[114,168],"more":[115],"efficiently.":[116],"addresses":[118],"series":[120],"technical":[122],"challenges":[123],"accurate":[126,155],"phase":[127],"extraction":[128],"asynchronous":[132],"RF":[134],"data":[135],"fusion":[136],"insufficient":[138],"training":[139],"data.":[140],"A":[141],"Conditional":[142],"Generative":[143],"Adversarial":[144],"Network":[145],"framework":[146],"combined":[147],"with":[148],"Transformer":[150],"model":[151],"is":[152],"designed":[153],"for":[154],"time-series":[156],"activity":[157],"classification.":[158],"demonstrates":[160],"pro-ficiency":[161],"recognizing":[163],"eight":[164],"types":[165],"across":[169],"diverse":[170],"environments,":[171],"achieving":[172],"an":[173],"accuracy":[174],"up":[176],"94.9%":[178],"while":[179],"only":[180],"costing":[181],"10%":[182],"mainstream":[185],"systems.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
