{"id":"https://openalex.org/W7124884934","doi":"https://doi.org/10.1109/bsn66969.2025.11337523","title":"Evaluating and Enhancing Radar-Based Fall Detection with Diffusion-Generated Synthetic Data","display_name":"Evaluating and Enhancing Radar-Based Fall Detection with Diffusion-Generated Synthetic Data","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W7124884934","doi":"https://doi.org/10.1109/bsn66969.2025.11337523"},"language":null,"primary_location":{"id":"doi:10.1109/bsn66969.2025.11337523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn66969.2025.11337523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Body Sensor Networks (BSN)","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/A5116802213","display_name":"Shakib Quddus","orcid":null},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shakib Quddus","raw_affiliation_strings":["Kennesaw State University,Department of Electrical and Computer Engineering,Georgia,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kennesaw State University,Department of Electrical and Computer Engineering,Georgia,USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123388999","display_name":"Awan-Ur Rahman","orcid":null},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Awan-Ur Rahman","raw_affiliation_strings":["Kennesaw State University,Department of Information Technology,Georgia,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kennesaw State University,Department of Information Technology,Georgia,USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116802212","display_name":"Soarov Chakra Borty","orcid":null},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soarov Chakra Borty","raw_affiliation_strings":["Kennesaw State University,Department of Information Technology,Georgia,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kennesaw State University,Department of Information Technology,Georgia,USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123434969","display_name":"John Koimbori","orcid":null},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Koimbori","raw_affiliation_strings":["Kennesaw State University,Department of Electrical and Computer Engineering,Georgia,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kennesaw State University,Department of Electrical and Computer Engineering,Georgia,USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110509858","display_name":"Sumit Chakravarty","orcid":null},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sumit Chakravarty","raw_affiliation_strings":["Kennesaw State University,Department of Electrical and Computer Engineering,Georgia,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kennesaw State University,Department of Electrical and Computer Engineering,Georgia,USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032240168","display_name":"Nazmus Sakib","orcid":"https://orcid.org/0000-0002-7008-1120"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nazmus Sakib","raw_affiliation_strings":["Kennesaw State University,Department of Information Technology,Georgia,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kennesaw State University,Department of Information Technology,Georgia,USA","institution_ids":["https://openalex.org/I172980758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172980758"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.60153778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.4498000144958496,"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":0.4498000144958496,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.22949999570846558,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.07479999959468842,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/transferability","display_name":"Transferability","score":0.5712000131607056},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4893999993801117},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.4122999906539917},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.39070001244544983},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.3357999920845032},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.28760001063346863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6636999845504761},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.5712000131607056},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4893999993801117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4390000104904175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42340001463890076},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.4122999906539917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4036000072956085},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.39070001244544983},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C3019207227","wikidata":"https://www.wikidata.org/wiki/Q10883614","display_name":"Human life","level":3,"score":0.2734000086784363},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.27129998803138733},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.26249998807907104}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bsn66969.2025.11337523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn66969.2025.11337523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Body Sensor Networks (BSN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2033148495","https://openalex.org/W4210367256","https://openalex.org/W4212817398","https://openalex.org/W4283730422","https://openalex.org/W4293521861","https://openalex.org/W4317555575","https://openalex.org/W4408993045","https://openalex.org/W4411205040"],"related_works":[],"abstract_inverted_index":{"Radar-based":[0],"fall":[1,133],"detection":[2,138,155],"systems":[3,26],"offer":[4],"significant":[5],"potential":[6],"to":[7,47,79,87,153],"enhance":[8,137],"the":[9,48,69,146],"safety":[10],"and":[11,20,55,71,86,104,124],"quality":[12],"of":[13,73,106,149],"life":[14,108],"for":[15],"individuals":[16],"with":[17,100],"Alzheimer's":[18,21],"Disease":[19],"Disease-Related":[22],"Dementias":[23],"(AD/ADRD).":[24],"These":[25],"have":[27],"demonstrated":[28],"impressive":[29],"accuracy":[30,139],"when":[31],"evaluated":[32],"on":[33],"standardized":[34,77,122],"datasets;":[35],"however,":[36],"real-world":[37],"deployment":[38],"often":[39],"reveals":[40],"a":[41,111],"marked":[42],"drop":[43],"in":[44,57,91,140],"performance":[45,74,90,119],"due":[46],"challenges":[49],"posed":[50],"by":[51,97],"environmental":[52],"complexity,":[53],"clutter,":[54],"variability":[56],"human":[58],"behavior.":[59],"This":[60],"study":[61],"explores":[62],"two":[63],"primary":[64],"research":[65],"questions:":[66],"firstly,":[67],"assessing":[68],"realism":[70],"transferability":[72],"metrics":[75],"from":[76],"datasets":[78,99,123],"practical,":[80],"cluttered":[81],"environments;":[82],"secondly,":[83],"determining":[84],"if":[85],"what":[88],"extent":[89],"realistic":[92,125],"settings":[93],"can":[94,135],"be":[95],"improved":[96],"augmenting":[98],"synthetically":[101],"generated":[102,132],"falls":[103],"activities":[105],"daily":[107],"data":[109,134,151],"using":[110],"U-Net":[112],"diffusion":[113],"model.":[114],"Our":[115],"findings":[116],"highlight":[117],"substantial":[118],"gaps":[120],"between":[121],"conditions.":[126],"Preliminary":[127],"experiments":[128],"demonstrate":[129],"that":[130],"introducing":[131],"significantly":[136],"practical":[141],"settings,":[142],"providing":[143],"insights":[144],"into":[145],"optimal":[147],"amount":[148],"synthetic":[150],"needed":[152],"maximize":[154],"effectiveness.":[156]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-01-21T00:00:00"}
