{"id":"https://openalex.org/W2889759839","doi":"https://doi.org/10.4018/ijcvip.2018100103","title":"Fall Detection Depth-Based Using Tilt Angle and Shape Deformation","display_name":"Fall Detection Depth-Based Using Tilt Angle and Shape Deformation","publication_year":2018,"publication_date":"2018-09-11","ids":{"openalex":"https://openalex.org/W2889759839","doi":"https://doi.org/10.4018/ijcvip.2018100103","mag":"2889759839"},"language":"en","primary_location":{"id":"doi:10.4018/ijcvip.2018100103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijcvip.2018100103","pdf_url":null,"source":{"id":"https://openalex.org/S4210177549","display_name":"International Journal of Computer Vision and Image Processing","issn_l":"2155-6989","issn":["2155-6989","2155-6997"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision and Image Processing","raw_type":"journal-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/A5024913279","display_name":"Fairouz Merrouche","orcid":null},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Fairouz Merrouche","raw_affiliation_strings":["Computer science Department University of Science and Technology USTHB, Bab Ezzouar, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer science Department University of Science and Technology USTHB, Bab Ezzouar, Algeria","institution_ids":["https://openalex.org/I157169809"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066034327","display_name":"Nadia Baha","orcid":null},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Nadia Baha","raw_affiliation_strings":["Computer science Department University of Science and Technology USTHB, Bab Ezzouar, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer science Department University of Science and Technology USTHB, Bab Ezzouar, Algeria","institution_ids":["https://openalex.org/I157169809"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09179071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":"4","first_page":"26","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9976999759674072,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9970999956130981,"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/tilt","display_name":"Tilt (camera)","score":0.8058750033378601},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7171211838722229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6700335144996643},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.6064884662628174},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.590226411819458},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.4562181234359741},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.43556714057922363},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.42356443405151367},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4141484797000885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21437647938728333},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.18570825457572937},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16659754514694214},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09263190627098083},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07800206542015076}],"concepts":[{"id":"https://openalex.org/C2779844322","wikidata":"https://www.wikidata.org/wiki/Q2919140","display_name":"Tilt (camera)","level":2,"score":0.8058750033378601},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7171211838722229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6700335144996643},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.6064884662628174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.590226411819458},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.4562181234359741},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43556714057922363},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.42356443405151367},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4141484797000885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21437647938728333},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.18570825457572937},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16659754514694214},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09263190627098083},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07800206542015076},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijcvip.2018100103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijcvip.2018100103","pdf_url":null,"source":{"id":"https://openalex.org/S4210177549","display_name":"International Journal of Computer Vision and Image Processing","issn_l":"2155-6989","issn":["2155-6989","2155-6997"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision and Image Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W110252780","https://openalex.org/W215027519","https://openalex.org/W645314983","https://openalex.org/W1566752807","https://openalex.org/W1973464566","https://openalex.org/W2028191869","https://openalex.org/W2028599907","https://openalex.org/W2064478533","https://openalex.org/W2089916011","https://openalex.org/W2093071643","https://openalex.org/W2096300942","https://openalex.org/W2098613108","https://openalex.org/W2100716893","https://openalex.org/W2105809017","https://openalex.org/W2118218997","https://openalex.org/W2147306564","https://openalex.org/W2437887222","https://openalex.org/W2491216316","https://openalex.org/W2533858083","https://openalex.org/W2543829677","https://openalex.org/W2548284395","https://openalex.org/W2573587500","https://openalex.org/W2610219346","https://openalex.org/W2753840377","https://openalex.org/W2754129066","https://openalex.org/W2782628880","https://openalex.org/W2900501356","https://openalex.org/W4206232780"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"The":[0],"population":[1],"of":[2,102],"elderly":[3],"people":[4],"is":[5,111],"in":[6],"growth.":[7],"Falls":[8],"risk":[9],"their":[10],"life,":[11],"to":[12,15,27,74,79,117],"disabilities,":[13],"and":[14,62,97,106],"fears.":[16],"Automatic":[17],"fall":[18,50],"detection":[19,51,61],"systems":[20,36],"provide":[21],"them":[22,26],"secure":[23],"living;":[24],"helping":[25],"be":[28],"independent":[29],"at":[30],"home.":[31],"Computer":[32],"vision":[33],"offers":[34],"efficient":[35],"over":[37],"many":[38],"developed":[39],"systems.":[40],"In":[41],"this":[42],"article,":[43],"the":[44,67,76,100,103],"authors":[45],"propose":[46],"a":[47,72],"new":[48],"vision-based":[49],"using":[52],"depth":[53],"camera.":[54],"It":[55],"combines":[56],"human":[57],"shape":[58],"analysis,":[59],"centroid":[60],"motion":[63],"where":[64],"it":[65],"exploits":[66],"3D":[68],"information":[69],"provided":[70],"by":[71],"Kinect":[73],"compute":[75],"tilt":[77],"angle":[78],"discriminate":[80],"falls.":[81],"Experimental":[82],"tests":[83],"were":[84],"done":[85],"with":[86],"SDUFall":[87],"dataset":[88],"that":[89,108],"contains":[90],"20":[91],"subjects":[92],"performing":[93],"five":[94],"daily":[95],"activities":[96],"falls,":[98],"demonstrate":[99],"efficiency":[101],"proposed":[104],"system,":[105],"show":[107],"our":[109],"method":[110],"promising":[112],"achieving":[113],"satisfactory":[114],"results":[115],"up":[116],"84.66%.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
