{"id":"https://openalex.org/W4400067007","doi":"https://doi.org/10.1145/3663976.3664014","title":"Sitting Posture Recognition Based on the Computer's Camera","display_name":"Sitting Posture Recognition Based on the Computer's Camera","publication_year":2024,"publication_date":"2024-04-26","ids":{"openalex":"https://openalex.org/W4400067007","doi":"https://doi.org/10.1145/3663976.3664014"},"language":"en","primary_location":{"id":"doi:10.1145/3663976.3664014","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3663976.3664014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition","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/A5103250046","display_name":"Songyin Zhao","orcid":"https://orcid.org/0009-0003-1380-3435"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Songyin Zhao","raw_affiliation_strings":["Engineering University of PAP, China"],"raw_orcid":"https://orcid.org/0009-0003-1380-3435","affiliations":[{"raw_affiliation_string":"Engineering University of PAP, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728012","display_name":"Yang Su","orcid":"https://orcid.org/0009-0008-5951-8476"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Su","raw_affiliation_strings":["Engineering University of PAP, China"],"raw_orcid":"https://orcid.org/0000-0003-3619-7936","affiliations":[{"raw_affiliation_string":"Engineering University of PAP, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103250046"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5208,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92237017,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12006","display_name":"Ergonomics and Musculoskeletal Disorders","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12006","display_name":"Ergonomics and Musculoskeletal Disorders","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9591000080108643,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.6863975524902344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6714755892753601},{"id":"https://openalex.org/keywords/sitting","display_name":"Sitting","score":0.6488043069839478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5720633268356323},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4071064293384552},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09594428539276123}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6863975524902344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6714755892753601},{"id":"https://openalex.org/C2776370487","wikidata":"https://www.wikidata.org/wiki/Q1144593","display_name":"Sitting","level":2,"score":0.6488043069839478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5720633268356323},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4071064293384552},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09594428539276123},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3663976.3664014","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3663976.3664014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition","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":8,"referenced_works":["https://openalex.org/W2232902382","https://openalex.org/W2233461025","https://openalex.org/W2979807565","https://openalex.org/W3036131899","https://openalex.org/W3048820869","https://openalex.org/W4200482090","https://openalex.org/W4205546349","https://openalex.org/W4376650560"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0,146],"popularity":[1],"of":[2,10,27,65,72,76,89,113,122,134,140,179,193],"computers":[3],"has":[4],"made":[5],"sitting":[6,15,31,44,66,108,212,223],"a":[7,47,90,104,128,219],"normal":[8],"part":[9],"people's":[11],"lives.":[12],"Since":[13],"unhealthy":[14],"postures":[16,213],"not":[17],"only":[18],"harm":[19],"the":[20,25,70,74,87,97,99,111,120,171,176,183,190,200,211],"eyes":[21],"but":[22],"also":[23],"increase":[24],"risk":[26],"various":[28],"musculoskeletal":[29],"diseases,":[30],"posture":[32,224],"detecting":[33],"and":[34,49,80,142,156,195,197],"warning":[35,225],"is":[36,57,185,207],"very":[37],"necessary":[38],"to":[39,102,118,209],"help":[40],"people":[41],"develop":[42],"healthy":[43],"habits.":[45],"Thus,":[46],"cheaper":[48],"more":[50,220],"convenient":[51],"method":[52,181],"using":[53,84,137,164,214],"an":[54],"ordinary":[55,215],"camera":[56],"proposed":[58],"in":[59],"this":[60,126,180],"paper":[61],"for":[62,106,182,189,199],"8":[63],"kinds":[64],"posture.":[67,109],"Restricted":[68],"by":[69,162],"view":[71],"camera,":[73,216],"positions":[75],"nose,":[77],"eyes,":[78],"ears":[79],"shoulders":[81],"are":[82,116,160],"extracted":[83],"MoveNet,":[85],"as":[86,152,158,170],"input":[88],"Multi-layer":[91],"Perceptron":[92],"(MLP)":[93],"classifier.":[94],"To":[95],"train":[96],"classifier,":[98],"user":[100],"needs":[101],"record":[103],"video":[105],"each":[107],"In":[110],"process":[112],"recording,":[114],"guidelines":[115],"provided":[117],"improve":[119],"quality":[121],"training":[123],"data.":[124],"For":[125],"study,":[127],"small":[129],"dataset":[130,184],"including":[131],"12":[132],"groups":[133],"videos":[135],"recorded":[136],"2":[138],"sets":[139],"table":[141,194],"chair":[143,196],"was":[144],"collected.":[145],"relatively":[147],"good":[148],"MLP":[149],"with":[150],"(64,64)":[151],"hidden":[153],"layer":[154],"sizes":[155],"0.162378":[157],"alpha":[159],"found":[161],"GridSearchCV,":[163],"Leave":[165],"P":[166],"Group(s)":[167],"Out":[168],"cross-validator":[169],"cross-validation":[172],"splitting":[173],"strategy.":[174],"Overall,":[175],"average":[177],"accuracy":[178],"95.8%,":[186],"while":[187],"97.3%":[188],"same":[191],"set":[192],"94.1%":[198],"different":[201],"set.":[202],"These":[203],"results":[204],"mean":[205],"that":[206],"feasible":[208],"recognize":[210],"which":[217],"implies":[218],"easily":[221],"available":[222],"technology.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
