{"id":"https://openalex.org/W4376479349","doi":"https://doi.org/10.1145/3571600.3571612","title":"Posture Guided Human Action Recognition for Fitness Applications","display_name":"Posture Guided Human Action Recognition for Fitness Applications","publication_year":2022,"publication_date":"2022-12-08","ids":{"openalex":"https://openalex.org/W4376479349","doi":"https://doi.org/10.1145/3571600.3571612"},"language":"en","primary_location":{"id":"doi:10.1145/3571600.3571612","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3571600.3571612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing","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/A5091938659","display_name":"S R Vishakha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vishakha S R","raw_affiliation_strings":["Samsung Research Institute Bangalore, IN"],"affiliations":[{"raw_affiliation_string":"Samsung Research Institute Bangalore, IN","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064447033","display_name":"Jayaprakash Akula","orcid":"https://orcid.org/0000-0002-1612-1064"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jayaprakash Akula","raw_affiliation_strings":["Samsung Research Institute Bangalore, IN"],"affiliations":[{"raw_affiliation_string":"Samsung Research Institute Bangalore, IN","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101661785","display_name":"B H Pawan Prasad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B H Pawan Prasad","raw_affiliation_strings":["Samsung Research, IN"],"affiliations":[{"raw_affiliation_string":"Samsung Research, IN","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091938660","display_name":"Green Rosh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Green Rosh","raw_affiliation_strings":["Samsung Research Institute Bangalore, IN"],"affiliations":[{"raw_affiliation_string":"Samsung Research Institute Bangalore, IN","institution_ids":["https://openalex.org/I4210101778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091938659"],"corresponding_institution_ids":["https://openalex.org/I4210101778"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17081625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.988099992275238,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9787999987602234,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8009430170059204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7735924124717712},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6932427883148193},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5766709446907043},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5198293328285217},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5037392973899841},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4838506281375885},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.47428232431411743},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46337950229644775},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4189397096633911},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4146648049354553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32020050287246704}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8009430170059204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7735924124717712},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6932427883148193},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5766709446907043},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5198293328285217},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5037392973899841},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4838506281375885},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.47428232431411743},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46337950229644775},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4189397096633911},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4146648049354553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32020050287246704},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3571600.3571612","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3571600.3571612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing","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":24,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2080873731","https://openalex.org/W2307770531","https://openalex.org/W2598666589","https://openalex.org/W2916798096","https://openalex.org/W2940457086","https://openalex.org/W2963076818","https://openalex.org/W2963155035","https://openalex.org/W2963163009","https://openalex.org/W2996937600","https://openalex.org/W3020175596","https://openalex.org/W3034750257","https://openalex.org/W3035050855","https://openalex.org/W3035413240","https://openalex.org/W3035707711","https://openalex.org/W3096803658","https://openalex.org/W3097558897","https://openalex.org/W3126974104","https://openalex.org/W3177141386","https://openalex.org/W3195639294","https://openalex.org/W3203634062","https://openalex.org/W4212917338","https://openalex.org/W4214508443","https://openalex.org/W4229911490"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W4375867731","https://openalex.org/W4387967917","https://openalex.org/W4389397071","https://openalex.org/W4387968151","https://openalex.org/W4386925306","https://openalex.org/W3132124459","https://openalex.org/W2946083937","https://openalex.org/W3135266094"],"abstract_inverted_index":{"Human":[0],"action":[1,136,192],"recognition":[2,137,193],"has":[3],"attracted":[4],"a":[5,39,49,55,128,151],"lot":[6],"of":[7,30,51,110],"attention":[8],"in":[9,17,74,99,120],"the":[10,31,45,60,65,70,90,108,190],"recent":[11],"past":[12],"due":[13],"to":[14,43,58,79,94,138,161,188,205],"newer":[15],"applications":[16],"computer":[18],"vision":[19],"such":[20,84,102],"as":[21,85,103,141,143],"fitness":[22,121,230],"tracking,":[23],"augmented":[24],"reality":[25],"and":[26,221],"virtual":[27],"reality.":[28],"Most":[29],"existing":[32],"deep":[33,40,131],"learning":[34,132],"based":[35,133],"methods":[36,76,112],"first":[37],"deploy":[38],"neural":[41],"network":[42,57],"estimate":[44],"human":[46,61,67,191],"pose":[47,71,159,178],"from":[48],"sequence":[50],"images":[52],"followed":[53],"by":[54,195,200],"second":[56,216],"classify":[59],"actions":[62,83,145],"using":[63],"all":[64],"estimated":[66],"poses.":[68],"However,":[69],"estimation":[72,160],"used":[73],"these":[75,111],"typically":[77,118],"fail":[78],"generalize":[80],"for":[81,115,135,227],"non-upright":[82,116,144],"push-ups,":[86],"plank,":[87],"etc":[88],"since":[89],"keypoints":[91,164],"are":[92],"closer":[93,163],"each":[95],"other":[96],"than":[97],"observed":[98,181],"upright":[100,140],"postures":[101],"jump,":[104],"dead-lift,":[105],"etc.":[106],"Hence,":[107],"accuracy":[109,194],"gets":[113],"impacted":[114],"actions,":[117],"seen":[119],"applications.":[122,231],"In":[123],"this":[124,183],"paper,":[125],"we":[126,168],"propose":[127],"novel":[129],"multi-stage":[130],"method":[134,209],"predict":[139],"well":[142],"with":[146],"high":[147],"accuracy.":[148],"We":[149,180],"use":[150],"Light":[152],"Weight":[153],"Boundary":[154],"Refinement":[155],"Module":[156],"(LWBRM)":[157],"during":[158],"distinguish":[162],"more":[165],"effectively.":[166],"Further,":[167],"also":[169],"introduce":[170],"an":[171,218],"intermediate":[172,184],"frame-by-frame":[173],"posture":[174],"classification":[175],"stage":[176,185],"after":[177],"estimation.":[179],"that":[182],"enables":[186],"us":[187],"improve":[189],"while":[196],"improving":[197],"computational":[198],"efficiency":[199],"\u223c":[201],"2":[202],"\u00d7":[203],"compared":[204],"state-of-the-art":[206],"methods.":[207],"Our":[208],"can":[210,223],"process":[211],"at":[212],"104":[213],"frames":[214],"per":[215],"on":[217],"android":[219],"smartphone,":[220],"hence":[222],"readily":[224],"be":[225],"deployed":[226],"consumer":[228],"oriented":[229]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}