{"id":"https://openalex.org/W1904625144","doi":"https://doi.org/10.5220/0004742406400647","title":"Fall Detection using Ceiling-mounted 3D Depth Camera","display_name":"Fall Detection using Ceiling-mounted 3D Depth Camera","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1904625144","doi":"https://doi.org/10.5220/0004742406400647","mag":"1904625144"},"language":"en","primary_location":{"id":"doi:10.5220/0004742406400647","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004742406400647","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0004742406400647","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006454401","display_name":"Micha\u0142 K\u0119pski","orcid":"https://orcid.org/0000-0003-1225-9143"},"institutions":[{"id":"https://openalex.org/I98559091","display_name":"Rzesz\u00f3w University","ror":"https://ror.org/03pfsnq21","country_code":"PL","type":"education","lineage":["https://openalex.org/I98559091"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Michal Kepski","raw_affiliation_strings":["University of Rzeszow, 16c Rejtana Av., 35-959 Rzesz\u00f3w, Poland#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Rzeszow, 16c Rejtana Av., 35-959 Rzesz\u00f3w, Poland#TAB#","institution_ids":["https://openalex.org/I98559091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091722048","display_name":"Bogdan Kwolek","orcid":"https://orcid.org/0000-0002-7715-1435"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Bogdan Kwolek","raw_affiliation_strings":["AGH University of Science and Technology, 30 Mickiewicza av., 30-059, Krak\u00f3w, Poland"],"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology, 30 Mickiewicza av., 30-059, Krak\u00f3w, Poland","institution_ids":["https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006454401"],"corresponding_institution_ids":["https://openalex.org/I98559091"],"apc_list":null,"apc_paid":null,"fwci":8.5355,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.9825848,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"640","last_page":"647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9980000257492065,"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":0.9973999857902527,"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/ceiling","display_name":"Ceiling (cloud)","score":0.8100907206535339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7731518149375916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7468185424804688},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.6438724398612976},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6353556513786316},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48164239525794983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3224763870239258},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16201546788215637}],"concepts":[{"id":"https://openalex.org/C2777489069","wikidata":"https://www.wikidata.org/wiki/Q1589822","display_name":"Ceiling (cloud)","level":2,"score":0.8100907206535339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7731518149375916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7468185424804688},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.6438724398612976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6353556513786316},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48164239525794983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3224763870239258},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16201546788215637},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"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:10.5220/0004742406400647","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004742406400647","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0004742406400647","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004742406400647","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W90599346","https://openalex.org/W163964114","https://openalex.org/W1512614806","https://openalex.org/W1570448133","https://openalex.org/W2009915998","https://openalex.org/W2048681918","https://openalex.org/W2059584741","https://openalex.org/W2075841856","https://openalex.org/W2076068958","https://openalex.org/W2081241079","https://openalex.org/W2098339052","https://openalex.org/W2099111195","https://openalex.org/W2104706302","https://openalex.org/W2121180856","https://openalex.org/W2129013408","https://openalex.org/W2170672895","https://openalex.org/W2252871544","https://openalex.org/W2911709767"],"related_works":["https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W4392749941","https://openalex.org/W2009888974","https://openalex.org/W2355539379","https://openalex.org/W2056341223","https://openalex.org/W2081139303","https://openalex.org/W3023105672"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3,99,114],"algorithm":[4,55,67],"for":[5],"fall":[6],"detection":[7],"using":[8],"a":[9,24],"ceiling-mounted":[10],"3D":[11],"depth":[12,72,88,117],"camera.":[13],"The":[14,62],"lying":[15,49],"pose":[16],"is":[17],"separated":[18],"from":[19],"common":[20],"daily":[21,76],"activities":[22,77],"by":[23],"k-NN":[25],"classifier,":[26],"which":[27],"was":[28,68,82,101],"trained":[29],"on":[30,70,84],"features":[31],"expressing":[32],"head-floor":[33],"distance,":[34],"person":[35,110],"area":[36],"and":[37,51,78,90,111],"shape's":[38],"major":[39],"length":[40],"to":[41,45,103,112],"width.":[42],"In":[43],"order":[44],"distinguish":[46],"between":[47,59],"intentional":[48],"postures":[50],"accidental":[52],"falls":[53],"the":[54,66,96,105,109],"also":[56],"employs":[57],"motion":[58],"static":[60],"postures.":[61],"experimental":[63],"validation":[64],"of":[65,75,108,116],"conducted":[69],"realistic":[71],"image":[73],"sequences":[74],"simulated":[79],"falls.":[80],"It":[81],"evaluated":[83],"more":[85],"than":[86],"45000":[87],"images":[89],"gave":[91],"0%":[92],"error.":[93],"To":[94],"reduce":[95],"processing":[97],"overload":[98],"accelerometer":[100],"used":[102],"indicate":[104],"potential":[106],"impact":[107],"start":[113],"analysis":[115],"images.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}