{"id":"https://openalex.org/W4406983050","doi":"https://doi.org/10.1109/jbhi.2025.3536030","title":"Fall-Risk Monitoring in Diverse Terrains Using Dual-Task Learning and Wearable Sensing System","display_name":"Fall-Risk Monitoring in Diverse Terrains Using Dual-Task Learning and Wearable Sensing System","publication_year":2025,"publication_date":"2025-01-30","ids":{"openalex":"https://openalex.org/W4406983050","doi":"https://doi.org/10.1109/jbhi.2025.3536030","pmid":"https://pubmed.ncbi.nlm.nih.gov/40031371"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2025.3536030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3536030","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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":"Chih-Lung Lin","orcid":"https://orcid.org/0000-0002-4948-8591"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chih-Lung Lin","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028114352","display_name":"Yuan-Hao Ho","orcid":"https://orcid.org/0000-0003-1089-5509"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yuan-Hao Ho","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004704529","display_name":"Fang-Yi Lin","orcid":"https://orcid.org/0009-0009-3142-1100"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fang-Yi Lin","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063414739","display_name":"Pi\u2010Shan Sung","orcid":"https://orcid.org/0000-0003-2505-7583"},"institutions":[{"id":"https://openalex.org/I4210158999","display_name":"National Cheng Kung University Hospital","ror":"https://ror.org/04zx3rq17","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210158999"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pi-Shan Sung","raw_affiliation_strings":["Department of Neurology, National Cheng Kung University Hospital, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Neurology, National Cheng Kung University Hospital, Tainan, Taiwan","institution_ids":["https://openalex.org/I4210158999"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102957533","display_name":"Cheng-Yi Huang","orcid":"https://orcid.org/0009-0004-1623-8598"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Yi Huang","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":8.5265,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97459908,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"29","issue":"6","first_page":"4059","last_page":"4070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9294999837875366,"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":0.9294999837875366,"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/wearable-computer","display_name":"Wearable computer","score":0.7570251226425171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7228431701660156},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5862962007522583},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5777698755264282},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.49558913707733154},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4264461398124695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40906912088394165},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4021238386631012},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1807452142238617},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13278722763061523},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10980558395385742},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0910557210445404}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7570251226425171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7228431701660156},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5862962007522583},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5777698755264282},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.49558913707733154},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4264461398124695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40906912088394165},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4021238386631012},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1807452142238617},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13278722763061523},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10980558395385742},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0910557210445404},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2025.3536030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3536030","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:40031371","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40031371","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G6577785376","display_name":null,"funder_award_id":"NSTC 111-2627-M-006-006","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"}],"funders":[{"id":"https://openalex.org/F2461203286","display_name":"National Science and Technology Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1511023304","https://openalex.org/W2009797501","https://openalex.org/W2013337604","https://openalex.org/W2066825169","https://openalex.org/W2085478833","https://openalex.org/W2088371259","https://openalex.org/W2089937542","https://openalex.org/W2096851008","https://openalex.org/W2113314764","https://openalex.org/W2116816021","https://openalex.org/W2136268595","https://openalex.org/W2151867794","https://openalex.org/W2152449912","https://openalex.org/W2152599926","https://openalex.org/W2322020277","https://openalex.org/W2464978182","https://openalex.org/W2530148143","https://openalex.org/W2594435757","https://openalex.org/W2597642773","https://openalex.org/W2739805805","https://openalex.org/W2781426766","https://openalex.org/W2784837049","https://openalex.org/W2789768171","https://openalex.org/W2789794273","https://openalex.org/W2885582123","https://openalex.org/W2889505988","https://openalex.org/W2935072129","https://openalex.org/W2938949242","https://openalex.org/W2963351448","https://openalex.org/W2963691377","https://openalex.org/W2990685716","https://openalex.org/W2995978786","https://openalex.org/W2996654865","https://openalex.org/W3002417609","https://openalex.org/W3003341797","https://openalex.org/W3017512296","https://openalex.org/W3028379480","https://openalex.org/W3081186834","https://openalex.org/W3092058370","https://openalex.org/W3108723210","https://openalex.org/W3141797743","https://openalex.org/W3164034211","https://openalex.org/W3200722545","https://openalex.org/W3216540786","https://openalex.org/W4211016789","https://openalex.org/W4251974732","https://openalex.org/W4283693048","https://openalex.org/W4291910529","https://openalex.org/W4310664652","https://openalex.org/W4312932773","https://openalex.org/W4312942146","https://openalex.org/W4317987684","https://openalex.org/W4378194824","https://openalex.org/W4380685857","https://openalex.org/W4386596815","https://openalex.org/W4389065437","https://openalex.org/W4391582558","https://openalex.org/W4391853682","https://openalex.org/W4394862816","https://openalex.org/W4399526135"],"related_works":["https://openalex.org/W1564680838","https://openalex.org/W2003125260","https://openalex.org/W2060591604","https://openalex.org/W1992291644","https://openalex.org/W2166791242","https://openalex.org/W2585162246","https://openalex.org/W1934413089","https://openalex.org/W2098419343","https://openalex.org/W2051178964","https://openalex.org/W2989714914"],"abstract_inverted_index":{"As":[0],"the":[1,11,26,29,96,150,162,194,207,210,216,222,228,240,247],"elderly":[2,141,202],"population":[3],"grows,":[4],"falling":[5],"accidents":[6],"become":[7],"more":[8],"frequent,":[9],"and":[10,31,95,107,120,132,139,159,167,183,221],"need":[12],"for":[13,21,190,201,245],"fall-risk":[14,22,68,93,102,157,231],"monitoring":[15,199,246],"systems":[16],"increases.":[17],"Deep":[18],"learning":[19,75],"models":[20],"movement":[23],"detection":[24],"neglect":[25],"connections":[27],"between":[28],"terrain":[30,57,97],"fall-hazard":[32],"movements.":[33],"This":[34,48,213],"issue":[35],"can":[36],"result":[37],"in":[38,135,149],"false":[39],"alarms,":[40],"particularly":[41],"when":[42],"a":[43,51,73,82,136,177],"person":[44],"encounters":[45],"changing":[46],"terrain.":[47],"work":[49,214],"introduces":[50],"novel":[52],"multisensor":[53],"system":[54,164,171],"that":[55,78,239],"integrates":[56],"perception":[58],"sensors":[59],"with":[60,115,176],"an":[61,184],"inertial":[62],"measurement":[63],"unit":[64],"(IMU)":[65],"to":[66,91,145],"monitor":[67],"on":[69,81,130,227],"diverse":[70],"terrains.":[71,123,235],"Additionally,":[72],"dual-task":[74],"(DTL)":[76],"architecture":[77,224],"is":[79,86,89,204,243],"based":[80],"modified":[83],"CNNLSTM":[84],"model":[85,223],"implemented;":[87],"it":[88],"used":[90],"determine":[92],"level":[94],"from":[98],"sensor":[99,219],"signals.":[100],"Three":[101],"levels":[103,158,232],"-":[104,109],"\"normal,\"":[105],"\"near-fall,\"":[106],"\"fall\"":[108],"are":[110,165],"identified":[111],"as":[112],"being":[113],"associated":[114],"\"flat":[116],"ground,\"":[117],"\"stepping":[118,121],"up,\"":[119],"down\"":[122],"Ten":[124],"young":[125],"subjects":[126],"performed":[127],"16":[128],"activities":[129,148],"flat":[131],"stepping":[133],"terrains":[134,160],"laboratory":[137],"setting,":[138],"ten":[140],"individuals":[142,203],"were":[143],"recruited":[144],"perform":[146],"four":[147],"hospital.":[151],"The":[152,170,197,236],"accuracies":[153],"of":[154,156,181,188,209,218,225,230,249],"classification":[155,229],"by":[161],"proposed":[163,211,241],"97.6%":[166],"95.2%,":[168],"respectively.":[169],"detects":[172],"pre-impact":[173],"fall":[174,178,191],"movements,":[175],"prediction":[179],"accuracy":[180,200],"97.7%":[182],"average":[185],"lead":[186],"time":[187],"329ms":[189],"trials,":[192],"revealing":[193],"model's":[195],"effectiveness.":[196],"overall":[198],"99.8%,":[205],"confirming":[206],"robustness":[208],"system.":[212],"discusses":[215],"impact":[217],"type":[220],"DTL":[226],"across":[233],"various":[234],"results":[237],"demonstrate":[238],"method":[242],"reliable":[244],"risk":[248],"falling.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}