{"id":"https://openalex.org/W2803696223","doi":"https://doi.org/10.1109/atsip.2018.8364462","title":"Fall detection based on posture analysis and support vector machine","display_name":"Fall detection based on posture analysis and support vector machine","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2803696223","doi":"https://doi.org/10.1109/atsip.2018.8364462","mag":"2803696223"},"language":"en","primary_location":{"id":"doi:10.1109/atsip.2018.8364462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2018.8364462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","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/A5014414506","display_name":"Abderrazak Iazzi","orcid":"https://orcid.org/0000-0001-8877-0648"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abderrazak Iazzi","raw_affiliation_strings":["LRIT, University of Mohammed 5in Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LRIT, University of Mohammed 5in Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029438807","display_name":"Mohammed Rziza","orcid":"https://orcid.org/0000-0003-4974-5903"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohammed Rziza","raw_affiliation_strings":["LRIT, University of Mohammed 5in Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LRIT, University of Mohammed 5in Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037074197","display_name":"Rachid Oulad Haj Thami","orcid":"https://orcid.org/0000-0001-9736-7260"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Rachid Oulad Haj Thami","raw_affiliation_strings":["RIITM, ENSIAS, University of Mohammed 5 in Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIITM, ENSIAS, University of Mohammed 5 in Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.378,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86000535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9976000189781189,"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/silhouette","display_name":"Silhouette","score":0.9034846425056458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6526689529418945},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.650651752948761},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6361401081085205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6266952753067017},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5948932766914368},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5705311298370361},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.527973473072052},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5244665145874023},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49555671215057373},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.44180354475975037},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39716410636901855},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2494993805885315},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10428929328918457},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07664638757705688}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.9034846425056458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6526689529418945},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.650651752948761},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6361401081085205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6266952753067017},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5948932766914368},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5705311298370361},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.527973473072052},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5244665145874023},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49555671215057373},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.44180354475975037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39716410636901855},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2494993805885315},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10428929328918457},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07664638757705688},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/atsip.2018.8364462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2018.8364462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2028661866","https://openalex.org/W2036068162","https://openalex.org/W2056818943","https://openalex.org/W2074290069","https://openalex.org/W2075399536","https://openalex.org/W2079118768","https://openalex.org/W2081052120","https://openalex.org/W2083978531","https://openalex.org/W2097512404","https://openalex.org/W2102625004","https://openalex.org/W2153635508","https://openalex.org/W2155326828","https://openalex.org/W2166061769","https://openalex.org/W2414900880","https://openalex.org/W2521508828","https://openalex.org/W2560809761","https://openalex.org/W2562314906","https://openalex.org/W2570475642","https://openalex.org/W3120421331"],"related_works":["https://openalex.org/W2369744843","https://openalex.org/W4292829955","https://openalex.org/W2126594804","https://openalex.org/W2766547489","https://openalex.org/W3217090486","https://openalex.org/W3145385008","https://openalex.org/W2011792403","https://openalex.org/W4317384082","https://openalex.org/W2693346656","https://openalex.org/W2803696223"],"abstract_inverted_index":{"In":[0],"this":[1,65],"paper,":[2],"we":[3,67,86,92],"present":[4],"a":[5,51,94],"fall":[6,39,46,55,110,138],"detection":[7,40,111],"method":[8,135],"for":[9,105],"elderly":[10,29,49],"people.":[11],"The":[12,34,54],"psychological":[13],"burden,":[14],"after":[15],"the":[16,28,38,45,48,73,88,109,115,133],"fall,":[17],"and":[18,75,102,120],"other":[19],"environmental":[20],"factors":[21],"can":[22,136],"result":[23],"in":[24,50],"serious":[25],"harm":[26],"when":[27],"cannot":[30],"get":[31],"timely":[32],"help.":[33],"main":[35],"purpose":[36],"of":[37,47,61,78,100,117],"system":[41],"is":[42,56,112],"to":[43],"detect":[44,137],"short":[52],"time.":[53],"characterized":[57],"by":[58],"high":[59],"deformation":[60],"shape.":[62],"Based":[63],"on":[64,72,97,114,127],"later,":[66],"propose":[68],"an":[69,98],"approach":[70],"based":[71,96,113],"horizontal":[74,103],"vertical":[76,101],"variations":[77],"human":[79,83],"silhouette":[80,84],"area.":[81],"After":[82],"extraction,":[85],"extract":[87],"bounding":[89],"box,":[90],"then,":[91],"construct":[93],"histogram":[95],"intersection":[99],"partitioning":[104],"posture":[106,118],"representation.":[107],"Then,":[108],"combination":[116],"recognition":[119],"some":[121],"specific":[122],"rules.":[123],"Experiments":[124],"were":[125],"conducted":[126],"different":[128],"databases.":[129],"Results":[130],"demonstrate":[131],"that":[132],"proposed":[134],"effectively.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
