{"id":"https://openalex.org/W4390494124","doi":"https://doi.org/10.1109/icce-berlin58801.2023.10375682","title":"Temporal-Dependent Features Based Inter-Action Transition State Recognition for Eldercare System","display_name":"Temporal-Dependent Features Based Inter-Action Transition State Recognition for Eldercare System","publication_year":2023,"publication_date":"2023-09-03","ids":{"openalex":"https://openalex.org/W4390494124","doi":"https://doi.org/10.1109/icce-berlin58801.2023.10375682"},"language":"en","primary_location":{"id":"doi:10.1109/icce-berlin58801.2023.10375682","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce-berlin58801.2023.10375682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","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/A5032495006","display_name":"Ye Htet","orcid":"https://orcid.org/0000-0002-4894-3476"},"institutions":[{"id":"https://openalex.org/I118574687","display_name":"University of Miyazaki","ror":"https://ror.org/0447kww10","country_code":"JP","type":"education","lineage":["https://openalex.org/I118574687"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ye Htet","raw_affiliation_strings":["Graduate School of Engineering, University of Miyazaki,Miyazaki,Japan","Graduate School of Engineering, University of Miyazaki, Miyazaki, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Miyazaki,Miyazaki,Japan","institution_ids":["https://openalex.org/I118574687"]},{"raw_affiliation_string":"Graduate School of Engineering, University of Miyazaki, Miyazaki, Japan","institution_ids":["https://openalex.org/I118574687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058861287","display_name":"Thi Thi Zin","orcid":null},"institutions":[{"id":"https://openalex.org/I118574687","display_name":"University of Miyazaki","ror":"https://ror.org/0447kww10","country_code":"JP","type":"education","lineage":["https://openalex.org/I118574687"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Thi Thi Zin","raw_affiliation_strings":["Graduate School of Engineering, University of Miyazaki,Miyazaki,Japan","Graduate School of Engineering, University of Miyazaki, Miyazaki, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Miyazaki,Miyazaki,Japan","institution_ids":["https://openalex.org/I118574687"]},{"raw_affiliation_string":"Graduate School of Engineering, University of Miyazaki, Miyazaki, Japan","institution_ids":["https://openalex.org/I118574687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101725426","display_name":"Hiroki Tamura","orcid":"https://orcid.org/0000-0002-1064-3443"},"institutions":[{"id":"https://openalex.org/I118574687","display_name":"University of Miyazaki","ror":"https://ror.org/0447kww10","country_code":"JP","type":"education","lineage":["https://openalex.org/I118574687"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Tamura","raw_affiliation_strings":["Graduate School of Engineering, University of Miyazaki,Miyazaki,Japan","Graduate School of Engineering, University of Miyazaki, Miyazaki, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Miyazaki,Miyazaki,Japan","institution_ids":["https://openalex.org/I118574687"]},{"raw_affiliation_string":"Graduate School of Engineering, University of Miyazaki, Miyazaki, Japan","institution_ids":["https://openalex.org/I118574687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106725935","display_name":"Kazuhiro Kondo","orcid":null},"institutions":[{"id":"https://openalex.org/I118574687","display_name":"University of Miyazaki","ror":"https://ror.org/0447kww10","country_code":"JP","type":"education","lineage":["https://openalex.org/I118574687"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Kondo","raw_affiliation_strings":["University of Miyazaki,Faculty of Medicine,Miyazaki,Japan","Faculty of Medicine, University of Miyazaki, Miyazaki, Japan"],"affiliations":[{"raw_affiliation_string":"University of Miyazaki,Faculty of Medicine,Miyazaki,Japan","institution_ids":["https://openalex.org/I118574687"]},{"raw_affiliation_string":"Faculty of Medicine, University of Miyazaki, Miyazaki, Japan","institution_ids":["https://openalex.org/I118574687"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017939870","display_name":"Etsuo Chosa","orcid":"https://orcid.org/0000-0002-1205-8694"},"institutions":[{"id":"https://openalex.org/I118574687","display_name":"University of Miyazaki","ror":"https://ror.org/0447kww10","country_code":"JP","type":"education","lineage":["https://openalex.org/I118574687"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Etsuo Chosa","raw_affiliation_strings":["University of Miyazaki,Faculty of Medicine,Miyazaki,Japan","Faculty of Medicine, University of Miyazaki, Miyazaki, Japan"],"affiliations":[{"raw_affiliation_string":"University of Miyazaki,Faculty of Medicine,Miyazaki,Japan","institution_ids":["https://openalex.org/I118574687"]},{"raw_affiliation_string":"Faculty of Medicine, University of Miyazaki, Miyazaki, Japan","institution_ids":["https://openalex.org/I118574687"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032495006"],"corresponding_institution_ids":["https://openalex.org/I118574687"],"apc_list":null,"apc_paid":null,"fwci":0.2456,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55411083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"106","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9980999827384949,"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":0.9980999827384949,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9848999977111816,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9764999747276306,"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":0.7014287114143372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.658623993396759},{"id":"https://openalex.org/keywords/sitting","display_name":"Sitting","score":0.5086356401443481},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46548691391944885},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.45804306864738464},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4387950599193573},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43547314405441284},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4217360019683838},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39801838994026184},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37578344345092773},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37426191568374634},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08161631226539612}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7014287114143372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.658623993396759},{"id":"https://openalex.org/C2776370487","wikidata":"https://www.wikidata.org/wiki/Q1144593","display_name":"Sitting","level":2,"score":0.5086356401443481},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46548691391944885},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.45804306864738464},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4387950599193573},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43547314405441284},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4217360019683838},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39801838994026184},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37578344345092773},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37426191568374634},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08161631226539612},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-berlin58801.2023.10375682","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce-berlin58801.2023.10375682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","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/W2997019406","https://openalex.org/W2998376881","https://openalex.org/W3030730802","https://openalex.org/W3035389154","https://openalex.org/W3091978306","https://openalex.org/W3118184536","https://openalex.org/W3185905653","https://openalex.org/W3197567964","https://openalex.org/W4280571159","https://openalex.org/W4297236108","https://openalex.org/W6851578965"],"related_works":["https://openalex.org/W2585190064","https://openalex.org/W2414618191","https://openalex.org/W2394982408","https://openalex.org/W2580175325","https://openalex.org/W1957409756","https://openalex.org/W2004824493","https://openalex.org/W2584695123","https://openalex.org/W118730989","https://openalex.org/W4401486708","https://openalex.org/W1521742680"],"abstract_inverted_index":{"Elderly":[0],"individuals":[1,76],"are":[2,157],"particularly":[3],"vulnerable":[4],"to":[5,23,27,43,89,196],"accidents,":[6],"with":[7],"a":[8,32],"significant":[9],"number":[10],"of":[11,71,118,166,184,202],"incidents":[12],"occurring":[13],"during":[14],"transition":[15,119],"states":[16,120],"between":[17],"primitive":[18,122],"actions":[19],"such":[20],"as":[21],"sitting":[22,26],"standing":[24],"and":[25,63,129,136,151,159,179,187,200],"lying.":[28],"This":[29],"paper":[30],"introduces":[31],"novel":[33],"machine-learning":[34],"technique":[35],"in":[36],"artificial":[37],"intelligence,":[38],"based":[39],"on":[40,154],"temporal-dependent":[41],"features":[42,101],"assist":[44],"the":[45,59,78,85,92,110,116,131,143,164,194,198,203],"elderly.":[46],"To":[47,162],"ensure":[48],"privacy,":[49],"we":[50,83,170],"employed":[51,84],"stereo":[52],"depth":[53,66],"cameras":[54],"for":[55,105,147],"data":[56],"acquisition":[57],"from":[58,98,109,121],"elder":[60],"care":[61],"center":[62],"exclusively":[64],"processed":[65],"images.":[67],"The":[68],"first":[69],"step":[70],"our":[72,167],"approach":[73],"involves":[74],"localizing":[75],"using":[77,173],"YOLOv5":[79],"object":[80],"detector.":[81],"Subsequently,":[82],"Segment":[86],"Anything":[87],"Model":[88],"segment":[90],"only":[91],"person":[93,112],"masks,":[94],"excluding":[95],"other":[96],"areas":[97],"consideration.":[99],"Temporal-dependent":[100],"were":[102],"then":[103],"extracted":[104],"every":[106],"five":[107],"frames":[108],"subsequent":[111],"masks":[113],"that":[114,142],"enable":[115],"recognition":[117],"actions.":[123],"We":[124],"tested":[125],"various":[126],"classification":[127],"approaches":[128],"compared":[130],"results":[132],"by":[133],"defining":[134],"norms":[135],"metrics.":[137],"Our":[138],"experimental":[139],"findings":[140],"demonstrated":[141],"overall":[144],"accuracy":[145,182],"rates":[146,183],"classifying":[148],"2":[149],"classes":[150,153],"5":[152],"small":[155],"segments":[156],"91.18%":[158],"91.67%":[160],"respectively.":[161,189],"validate":[163],"effectiveness":[165],"proposed":[168],"method,":[169],"conducted":[171],"experiments":[172],"real-life":[174],"environments":[175],"inside":[176],"three":[177],"rooms":[178],"obtained":[180],"average":[181],"90.17%,":[185],"97.16%,":[186],"77.44%":[188],"Overall,":[190],"this":[191],"model":[192],"has":[193],"potential":[195],"enhance":[197],"safety":[199],"well-being":[201],"elderly":[204],"population.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}