{"id":"https://openalex.org/W4406328306","doi":"https://doi.org/10.1145/3706890.3706935","title":"Smart Floor System for Comprehensive Fall Detection: Enhancing Safety and Independence for the Elderly","display_name":"Smart Floor System for Comprehensive Fall Detection: Enhancing Safety and Independence for the Elderly","publication_year":2024,"publication_date":"2024-08-13","ids":{"openalex":"https://openalex.org/W4406328306","doi":"https://doi.org/10.1145/3706890.3706935"},"language":"en","primary_location":{"id":"doi:10.1145/3706890.3706935","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3706935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","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":null,"display_name":"Lin Li","orcid":"https://orcid.org/0009-0001-6000-0833"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Li","raw_affiliation_strings":["College of Applied Science and Technology, Beijing Union University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-6000-0833","affiliations":[{"raw_affiliation_string":"College of Applied Science and Technology, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109336005","display_name":"Jiang Lei","orcid":"https://orcid.org/0000-0001-7501-5387"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Jiang","raw_affiliation_strings":["Research Institute of Health and Aging, China Electronics Engineering Design Institute Co. Ltd., Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7501-5387","affiliations":[{"raw_affiliation_string":"Research Institute of Health and Aging, China Electronics Engineering Design Institute Co. Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Han Han","orcid":"https://orcid.org/0009-0002-3819-7753"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han Han","raw_affiliation_strings":["Research Institute of Health and Aging, China Electronics Engineering Design Institute Co. Ltd., Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-3819-7753","affiliations":[{"raw_affiliation_string":"Research Institute of Health and Aging, China Electronics Engineering Design Institute Co. Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103260739","display_name":"Keya Yuan","orcid":"https://orcid.org/0009-0004-5731-0656"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keya Yuan","raw_affiliation_strings":["College of Robotics, Beijing Union University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-5731-0656","affiliations":[{"raw_affiliation_string":"College of Robotics, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114234892"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46200834,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"254","last_page":"258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9991000294685364,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9983000159263611,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9962000250816345,"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/independence","display_name":"Independence (probability theory)","score":0.7285621762275696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4819621741771698},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.37656158208847046},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.32047706842422485},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.28090041875839233}],"concepts":[{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.7285621762275696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4819621741771698},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.37656158208847046},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.32047706842422485},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28090041875839233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3706890.3706935","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3706935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","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":11,"referenced_works":["https://openalex.org/W2060762518","https://openalex.org/W2553945741","https://openalex.org/W3007534129","https://openalex.org/W3033771837","https://openalex.org/W3042983365","https://openalex.org/W3093503804","https://openalex.org/W3135299271","https://openalex.org/W3136824686","https://openalex.org/W4205502296","https://openalex.org/W4282580636","https://openalex.org/W4382728183"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3125750421"],"abstract_inverted_index":{"With":[0],"the":[1,6,11,104,114,137,142],"global":[2],"aging":[3],"population":[4],"on":[5],"rise,":[7],"fall-related":[8],"injuries":[9],"among":[10],"elderly":[12],"pose":[13],"significant":[14],"health":[15],"risks,":[16],"making":[17],"timely":[18],"and":[19,33,45,67,82,88,98,119,139,147],"accurate":[20],"fall":[21,25,54,151],"detection":[22,26,55],"crucial.":[23],"Traditional":[24],"methods,":[27],"including":[28],"wearable":[29],"sensors,":[30,32],"ambient":[31],"camera-based":[34],"systems,":[35],"often":[36],"face":[37],"limitations":[38],"such":[39,94],"as":[40,95],"user":[41],"compliance,":[42],"limited":[43],"coverage,":[44],"privacy":[46],"concerns.":[47],"This":[48,101],"paper":[49],"proposes":[50],"a":[51,58,145],"novel":[52],"human":[53,92],"method":[56],"utilizing":[57],"smart":[59],"floor":[60],"system":[61,102,129],"that":[62],"employs":[63],"sensors":[64,70],"combining":[65],"capacitance":[66],"inductance.":[68],"These":[69],"capture":[71],"electrical":[72],"properties":[73],"data,":[74],"which":[75],"is":[76],"then":[77],"processed":[78],"using":[79],"data":[80],"processing":[81],"analysis":[83],"techniques":[84],"to":[85],"accurately":[86],"detect":[87],"differentiate":[89],"between":[90],"various":[91],"postures":[93],"standing,":[96],"sitting,":[97],"lying":[99],"down.":[100],"addresses":[103],"shortcomings":[105],"of":[106,123,141],"existing":[107],"technologies":[108],"by":[109],"providing":[110],"comprehensive":[111],"coverage":[112],"without":[113],"need":[115],"for":[116,150],"user-worn":[117],"devices":[118],"operates":[120],"effectively":[121],"irrespective":[122],"environmental":[124],"conditions.":[125],"By":[126],"integrating":[127],"this":[128],"into":[130],"everyday":[131],"environments,":[132],"we":[133],"can":[134],"significantly":[135],"enhance":[136],"safety":[138],"independence":[140],"elderly,":[143],"offering":[144],"reliable":[146],"cost-effective":[148],"solution":[149],"detection.":[152]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
