{"id":"https://openalex.org/W2588775160","doi":"https://doi.org/10.1109/ssci.2016.7850244","title":"Stereo surveillance system for fall detection","display_name":"Stereo surveillance system for fall detection","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2588775160","doi":"https://doi.org/10.1109/ssci.2016.7850244","mag":"2588775160"},"language":"en","primary_location":{"id":"doi:10.1109/ssci.2016.7850244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2016.7850244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5019961212","display_name":"Wei Quan","orcid":"https://orcid.org/0000-0001-5341-9268"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wei Quan","raw_affiliation_strings":["School of System Design, Tokyo Metropolitan University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of System Design, Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074076109","display_name":"Naoyuki Kubota","orcid":"https://orcid.org/0000-0001-8829-037X"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoyuki Kubota","raw_affiliation_strings":["School of System Design, Tokyo Metropolitan University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of System Design, Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"100","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":0.9995999932289124,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.633902370929718},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.49124449491500854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4281834363937378},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4148634374141693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633902370929718},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.49124449491500854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4281834363937378},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4148634374141693}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci.2016.7850244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2016.7850244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1550602550","https://openalex.org/W2076068958","https://openalex.org/W2091257550","https://openalex.org/W2155326828","https://openalex.org/W2167718059","https://openalex.org/W6673424395"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"With":[0],"the":[1,13,25,29,32,46],"technology":[2],"developing,":[3],"people":[4,34],"enjoy":[5],"much":[6,76],"longer":[7],"life":[8],"than":[9,79],"ever":[10],"before.":[11,80],"On":[12],"other":[14],"hand,":[15],"it":[16,74],"also":[17],"bring":[18],"various":[19],"problems":[20],"and":[21,73],"inconvenience,":[22],"one":[23],"of":[24,31,40],"most":[26],"serious":[27],"is":[28],"safety":[30],"elderly":[33],"who":[35],"lives":[36],"alone.":[37],"In":[38,59],"case":[39],"preventing":[41],"this":[42,60],"trouble,":[43],"we":[44,62],"proposed":[45,63],"camera":[47],"surveillance":[48],"system":[49,69],"for":[50,70],"dangerous":[51],"behavior":[52],"detecting":[53,68],"such":[54],"as":[55],"fall":[56,66],"down":[57,67],"detecting.":[58],"paper,":[61],"a":[64],"new":[65],"stereo":[71],"version,":[72],"shows":[75],"more":[77],"information":[78]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}