{"id":"https://openalex.org/W3183594965","doi":"https://doi.org/10.23919/date51398.2021.9474206","title":"A Video-based Fall Detection Network by Spatio-temporal Joint-point Model on Edge Devices","display_name":"A Video-based Fall Detection Network by Spatio-temporal Joint-point Model on Edge Devices","publication_year":2021,"publication_date":"2021-02-01","ids":{"openalex":"https://openalex.org/W3183594965","doi":"https://doi.org/10.23919/date51398.2021.9474206","mag":"3183594965"},"language":"en","primary_location":{"id":"doi:10.23919/date51398.2021.9474206","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date51398.2021.9474206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","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/A5082090342","display_name":"Ziyi Guan","orcid":"https://orcid.org/0000-0001-9866-6588"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziyi Guan","raw_affiliation_strings":["School of Microelectronics, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100729848","display_name":"Shuwei Li","orcid":"https://orcid.org/0000-0002-4044-5886"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuwei Li","raw_affiliation_strings":["School of Microelectronics, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079242743","display_name":"Yuan Cheng","orcid":"https://orcid.org/0000-0001-8083-3026"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Cheng","raw_affiliation_strings":["Department of Micro/Nano Electronics, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Micro/Nano Electronics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056167336","display_name":"Changhai Man","orcid":"https://orcid.org/0000-0003-0693-3904"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changhai Man","raw_affiliation_strings":["School of Microelectronics, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062269789","display_name":"Wei Mao","orcid":"https://orcid.org/0000-0003-2527-6778"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Mao","raw_affiliation_strings":["School of Microelectronics, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072120057","display_name":"Ngai Wong","orcid":"https://orcid.org/0000-0002-3026-0108"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ngai Wong","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034853402","display_name":"Hao Yu","orcid":"https://orcid.org/0000-0002-2674-4118"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yu","raw_affiliation_strings":["School of Microelectronics, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5082090342"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":0.6725,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70980392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"422","last_page":"427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994000196456909,"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":0.9994000196456909,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9890000224113464,"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":0.9866999983787537,"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":0.845568060874939},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.662113606929779},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6488256454467773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6213764548301697},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6122856736183167},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5094779133796692},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.48008161783218384},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4732758700847626}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.845568060874939},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.662113606929779},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6488256454467773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6213764548301697},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6122856736183167},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5094779133796692},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.48008161783218384},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4732758700847626},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date51398.2021.9474206","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date51398.2021.9474206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","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":39,"referenced_works":["https://openalex.org/W657467088","https://openalex.org/W1744759976","https://openalex.org/W1861492603","https://openalex.org/W2067454711","https://openalex.org/W2072396104","https://openalex.org/W2074099390","https://openalex.org/W2076068958","https://openalex.org/W2101286829","https://openalex.org/W2146435057","https://openalex.org/W2155326828","https://openalex.org/W2166061769","https://openalex.org/W2194775991","https://openalex.org/W2556782416","https://openalex.org/W2570475642","https://openalex.org/W2573587500","https://openalex.org/W2772635292","https://openalex.org/W2772973030","https://openalex.org/W2777985171","https://openalex.org/W2779252670","https://openalex.org/W2819476901","https://openalex.org/W2889508143","https://openalex.org/W2909645133","https://openalex.org/W2950568498","https://openalex.org/W2950883524","https://openalex.org/W2962730651","https://openalex.org/W2962773068","https://openalex.org/W2963150697","https://openalex.org/W2963781481","https://openalex.org/W2990152177","https://openalex.org/W3009266591","https://openalex.org/W3032223871","https://openalex.org/W3036987296","https://openalex.org/W3092483159","https://openalex.org/W6639102338","https://openalex.org/W6730028046","https://openalex.org/W6731946947","https://openalex.org/W6748709139","https://openalex.org/W6753239825","https://openalex.org/W6784507500"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4293226380","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W2295788148","https://openalex.org/W1578717197","https://openalex.org/W3108295644","https://openalex.org/W2626737336","https://openalex.org/W2005998065"],"abstract_inverted_index":{"Tripping":[0],"or":[1],"falling":[2,79],"is":[3],"among":[4],"the":[5,12,24,28,49,82,119,153,160],"top":[6],"threats":[7],"in":[8,40,152],"elderly":[9],"healthcare,":[10],"and":[11,60,106,134],"development":[13,26],"of":[14,20,27,30,77,127],"automatic":[15],"fall":[16,45,63],"detection":[17,64],"systems":[18],"are":[19,115],"considerable":[21],"importance.":[22],"With":[23],"fast":[25,59],"Internet":[29],"Things":[31],"(IoT),":[32],"camera":[33],"vision-based":[34],"solutions":[35],"have":[36],"drawn":[37],"much":[38],"attention":[39],"recent":[41],"years.":[42],"The":[43],"traditional":[44,83],"video":[46,62],"analysis":[47],"on":[48,67,97,129,136],"cloud":[50],"has":[51],"significant":[52],"communication":[53],"overhead.":[54],"This":[55],"work":[56,162],"introduces":[57],"a":[58,68,90,103,110,124],"lightweight":[61],"network":[65],"based":[66,96],"spatio-temporal":[69],"joint-point":[70,99,112],"model":[71,95,142],"to":[72,117],"overcome":[73],"these":[74],"hurdles.":[75],"Instead":[76],"detecting":[78],"motion":[80],"by":[81,163],"Convolutional":[84],"Neural":[85],"Networks":[86],"(CNNs),":[87],"we":[88],"propose":[89],"Long":[91],"Short-Term":[92],"Memory":[93],"(LSTM)":[94],"time-series":[98],"features,":[100],"extracted":[101],"from":[102,109],"pose":[104,145],"extractor":[105],"then":[107],"filtered":[108],"geometric":[111],"filter.":[113],"Experiments":[114],"conducted":[116],"verify":[118],"proposed":[120],"framework,":[121],"which":[122,158],"shows":[123],"high":[125],"sensitivity":[126],"98.46%":[128],"Multiple":[130],"Cameras":[131],"Fall":[132,138],"Dataset":[133],"100%":[135],"UR":[137],"Dataset.":[139],"Furthermore,":[140],"our":[141],"can":[143],"achieve":[144],"estimation":[146],"tasks":[147],"simultaneously,":[148],"attaining":[149],"73.3":[150],"mAP":[151],"COCO":[154],"keypoint":[155],"challenge":[156],"dataset,":[157],"outperforms":[159],"OpenPose":[161],"8%.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
