{"id":"https://openalex.org/W4415821811","doi":"https://doi.org/10.1109/ro-man63969.2025.11217848","title":"Towards an AI-Driven Elderly Assistance Framework with Multi-Sensor Data for Real-Time Fall Detection","display_name":"Towards an AI-Driven Elderly Assistance Framework with Multi-Sensor Data for Real-Time Fall Detection","publication_year":2025,"publication_date":"2025-08-25","ids":{"openalex":"https://openalex.org/W4415821811","doi":"https://doi.org/10.1109/ro-man63969.2025.11217848"},"language":"en","primary_location":{"id":"doi:10.1109/ro-man63969.2025.11217848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man63969.2025.11217848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://purehost.bath.ac.uk/ws/files/366529656/ROMAN25_0384_MS.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120235764","display_name":"Amjad Alqasama","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amjad Alqasama","raw_affiliation_strings":["The University of Bath,Multimodal Inte-R-Action lab,The Department of Electronic and Electrical Engineering,Bath,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Bath,Multimodal Inte-R-Action lab,The Department of Electronic and Electrical Engineering,Bath,UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019309075","display_name":"Tareq Assaf","orcid":"https://orcid.org/0000-0001-9972-0275"},"institutions":[{"id":"https://openalex.org/I51601045","display_name":"University of Bath","ror":"https://ror.org/002h8g185","country_code":"GB","type":"education","lineage":["https://openalex.org/I51601045"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tareq Assaf","raw_affiliation_strings":["The University of Bath,Department of Electronic and Electrical Engineering,Bath,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Bath,Department of Electronic and Electrical Engineering,Bath,UK","institution_ids":["https://openalex.org/I51601045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083737600","display_name":"Uriel Mart\u00ednez-Hern\u00e1ndez","orcid":"https://orcid.org/0000-0002-9922-7912"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Uriel Martinez-Hernandez","raw_affiliation_strings":["The University of Bath,Multimodal Inte-R-Action lab,The Department of Electronic and Electrical Engineering,Bath,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Bath,Multimodal Inte-R-Action lab,The Department of Electronic and Electrical Engineering,Bath,UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1342","last_page":"1347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9595999717712402,"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":0.9595999717712402,"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":0.013100000098347664,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.003000000026077032,"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/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.6769000291824341},{"id":"https://openalex.org/keywords/bluetooth-low-energy","display_name":"Bluetooth Low Energy","score":0.6762999892234802},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6535999774932861},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.590399980545044},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5069000124931335},{"id":"https://openalex.org/keywords/bluetooth","display_name":"Bluetooth","score":0.4999000132083893},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4399999976158142},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41290000081062317}],"concepts":[{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6769000291824341},{"id":"https://openalex.org/C2776418194","wikidata":"https://www.wikidata.org/wiki/Q1638779","display_name":"Bluetooth Low Energy","level":4,"score":0.6762999892234802},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6535999774932861},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.590399980545044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5825999975204468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5351999998092651},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.511900007724762},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5069000124931335},{"id":"https://openalex.org/C546215728","wikidata":"https://www.wikidata.org/wiki/Q39531","display_name":"Bluetooth","level":3,"score":0.4999000132083893},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4553999900817871},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4399999976158142},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41290000081062317},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.38510000705718994},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.35899999737739563},{"id":"https://openalex.org/C3018200157","wikidata":"https://www.wikidata.org/wiki/Q437458","display_name":"Elderly care","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3327000141143799},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.3287999927997589},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.28360000252723694},{"id":"https://openalex.org/C3017997152","wikidata":"https://www.wikidata.org/wiki/Q814610","display_name":"Emergency response","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C3018552312","wikidata":"https://www.wikidata.org/wiki/Q315412","display_name":"Assisted living","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2653000056743622},{"id":"https://openalex.org/C19012869","wikidata":"https://www.wikidata.org/wiki/Q578372","display_name":"Response time","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2554999887943268}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ro-man63969.2025.11217848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man63969.2025.11217848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"},{"id":"pmh:oai:purehost.bath.ac.uk:openaire_cris_publications/43ea80f2-5086-470b-9837-119d59406cc2","is_oa":true,"landing_page_url":"https://researchportal.bath.ac.uk/en/publications/43ea80f2-5086-470b-9837-119d59406cc2","pdf_url":"https://purehost.bath.ac.uk/ws/files/366529656/ROMAN25_0384_MS.pdf","source":{"id":"https://openalex.org/S4377196294","display_name":"Pure (University of Bath)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51601045","host_organization_name":"University of Bath","host_organization_lineage":["https://openalex.org/I51601045"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:purehost.bath.ac.uk:openaire_cris_publications/43ea80f2-5086-470b-9837-119d59406cc2","is_oa":true,"landing_page_url":"https://researchportal.bath.ac.uk/en/publications/43ea80f2-5086-470b-9837-119d59406cc2","pdf_url":"https://purehost.bath.ac.uk/ws/files/366529656/ROMAN25_0384_MS.pdf","source":{"id":"https://openalex.org/S4377196294","display_name":"Pure (University of Bath)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51601045","host_organization_name":"University of Bath","host_organization_lineage":["https://openalex.org/I51601045"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320322","display_name":"University of Bath","ror":"https://ror.org/002h8g185"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415821811.pdf","grobid_xml":"https://content.openalex.org/works/W4415821811.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1991069594","https://openalex.org/W2802039875","https://openalex.org/W3094013430","https://openalex.org/W3156714642","https://openalex.org/W3171233730","https://openalex.org/W4214514125","https://openalex.org/W4230034369","https://openalex.org/W4292507964","https://openalex.org/W4323566947","https://openalex.org/W4377197425","https://openalex.org/W4379232550","https://openalex.org/W4384304901","https://openalex.org/W4389398301","https://openalex.org/W4390639169","https://openalex.org/W4390703358","https://openalex.org/W4391275244","https://openalex.org/W4392127964","https://openalex.org/W4393035799","https://openalex.org/W4404238337","https://openalex.org/W4405843865"],"related_works":[],"abstract_inverted_index":{"Wearable":[0],"sensors":[1],"enable":[2],"continuous":[3],"human":[4],"activity":[5,33],"monitoring":[6],"for":[7,28,98,144],"health,":[8],"rehabilitation,":[9],"and":[10,32,48,62,84,133,146,156],"assistive":[11],"applications.":[12,159],"This":[13],"study":[14],"investigates":[15],"the":[16,72,90,106,110,138],"feasibility":[17],"of":[18,22,114,140],"a":[19,68,81,85,119],"belt-mounted":[20],"array":[21],"multi-placement":[23],"Inertial":[24],"Measurement":[25],"Units":[26],"(IMUs)":[27],"real-time":[29,99],"fall":[30,148],"detection":[31],"recognition.":[34],"A":[35],"deep":[36],"learning":[37,53,126],"framework":[38],"based":[39],"on":[40],"Long":[41],"Short-Term":[42],"Memory":[43],"(LSTM)":[44],"networks":[45],"is":[46],"developed":[47],"compared":[49],"against":[50],"classical":[51],"machine":[52,125],"models,":[54],"including":[55],"Support":[56],"Vector":[57],"Machines":[58],"(SVM),":[59],"Random":[60,130],"Forest,":[61,131],"XGBoost.":[63,134],"The":[64],"experimental":[65],"setup":[66],"employs":[67],"custom":[69],"prototype":[70],"integrating":[71],"Adafruit":[73],"ICM-20948":[74],"IMU":[75],"sensor":[76,83],"across":[77],"three":[78],"different":[79],"devices:":[80],"knee-mounted":[82,120],"waist-mounted":[86],"sensor,":[87,121],"along":[88],"with":[89],"Huzzah32":[91],"microcontroller,":[92],"utilizing":[93],"Bluetooth":[94],"Low":[95],"Energy":[96],"(BLE)":[97],"data":[100,117],"transmission.":[101],"Experimental":[102],"results":[103],"show":[104],"that":[105],"LSTM":[107],"model":[108],"achieves":[109],"highest":[111],"recognition":[112],"accuracy":[113],"93.6%":[115],"using":[116],"from":[118],"outperforming":[122],"all":[123],"traditional":[124],"models":[127],"such":[128],"as":[129],"SVM,":[132],"These":[135],"findings":[136],"underscore":[137],"potential":[139],"IMU-based":[141],"wearable":[142],"systems":[143],"reliable":[145],"portable":[147],"detection,":[149],"contributing":[150],"to":[151],"enhanced":[152],"elderly":[153],"home":[154],"care":[155],"emergency":[157],"response":[158]},"counts_by_year":[],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-11-03T00:00:00"}