{"id":"https://openalex.org/W2791559790","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302065","title":"Joint object region location and deep feature learning for fall recognition","display_name":"Joint object region location and deep feature learning for fall recognition","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2791559790","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302065","mag":"2791559790"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8302065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5014142920","display_name":"Chaobo Li","orcid":"https://orcid.org/0000-0003-3772-3344"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chaobo Li","raw_affiliation_strings":["School of Electronic and Information, Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018244121","display_name":"Hongjun Li","orcid":"https://orcid.org/0000-0002-0978-7618"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Li","raw_affiliation_strings":["Nantong University, Nantong, CN"],"affiliations":[{"raw_affiliation_string":"Nantong University, Nantong, CN","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081952821","display_name":"Yupeng Ding","orcid":"https://orcid.org/0000-0003-3623-0476"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yupeng Ding","raw_affiliation_strings":["School of Electronic and Information, Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025567094","display_name":"Ke Xu","orcid":"https://orcid.org/0000-0001-5855-3810"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Xu","raw_affiliation_strings":["School of Electronic and Information, Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056143558","display_name":"Wenmin Zhang","orcid":"https://orcid.org/0009-0000-9980-6765"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenmin Zhang","raw_affiliation_strings":["School of Electronic and Information, Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014142920"],"corresponding_institution_ids":["https://openalex.org/I199305430"],"apc_list":null,"apc_paid":null,"fwci":0.091,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51080752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"313","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9968000054359436,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9614999890327454,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8516886234283447},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.770201563835144},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6967390775680542},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6963706016540527},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6512482762336731},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6412440538406372},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.6031370162963867},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.602851390838623},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5994265079498291},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5876073241233826},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5211136937141418},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4429028630256653},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43577349185943604},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11885040998458862}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8516886234283447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.770201563835144},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6967390775680542},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6963706016540527},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6512482762336731},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6412440538406372},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.6031370162963867},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.602851390838623},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5994265079498291},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5876073241233826},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5211136937141418},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4429028630256653},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43577349185943604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11885040998458862},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8302065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":23,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1744759976","https://openalex.org/W1983363688","https://openalex.org/W2030095062","https://openalex.org/W2074099390","https://openalex.org/W2076068958","https://openalex.org/W2100495367","https://openalex.org/W2119615570","https://openalex.org/W2163605009","https://openalex.org/W2193464378","https://openalex.org/W2200374509","https://openalex.org/W2283148806","https://openalex.org/W2287866429","https://openalex.org/W2305968678","https://openalex.org/W2396968374","https://openalex.org/W2403325839","https://openalex.org/W2410347997","https://openalex.org/W2504108613","https://openalex.org/W2518851211","https://openalex.org/W2551281733","https://openalex.org/W6657740303","https://openalex.org/W6684191040","https://openalex.org/W6729655100"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W2964954556","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Fall":[0],"recognition":[1,28,86],"plays":[2],"an":[3],"important":[4],"role":[5],"in":[6],"the":[7,10,36,40,60,79,85],"life":[8],"of":[9,17],"elderly.":[11],"In":[12],"this":[13],"paper,":[14],"a":[15],"method":[16],"jointing":[18],"object":[19,47],"region":[20,48],"location":[21,45],"and":[22,34,39,70,84],"deep":[23,55,68],"feature":[24,56],"learning":[25,57],"for":[26,46],"fall":[27],"is":[29,52,64,82,88],"proposed.":[30],"Firstly,":[31],"we":[32],"collect":[33],"analyze":[35],"color":[37],"images":[38,51],"depth":[41],"images.":[42],"Secondly,":[43],"automatic":[44],"on":[49,59],"collected":[50],"performed.":[53],"Thirdly,":[54],"based":[58],"convolution":[61],"neural":[62],"network":[63],"used":[65],"to":[66,71],"extract":[67],"features":[69],"detect":[72],"fall.":[73],"The":[74],"experimental":[75],"results":[76],"show":[77],"that":[78],"proposed":[80],"algorithm":[81],"robust":[83],"rate":[87],"higher":[89],"than":[90],"some":[91],"corresponding":[92],"methods.":[93]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}