{"id":"https://openalex.org/W4399913295","doi":"https://doi.org/10.1145/3627043.3659547","title":"FitSight: Tracking and Feedback Engine for Personalized Fitness Training","display_name":"FitSight: Tracking and Feedback Engine for Personalized Fitness Training","publication_year":2024,"publication_date":"2024-06-22","ids":{"openalex":"https://openalex.org/W4399913295","doi":"https://doi.org/10.1145/3627043.3659547"},"language":"en","primary_location":{"id":"doi:10.1145/3627043.3659547","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627043.3659547","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627043.3659547","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3627043.3659547","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092713602","display_name":"Hitesh Kotte","orcid":"https://orcid.org/0009-0005-8885-889X"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hitesh Kotte","raw_affiliation_strings":["Computer Science, DFKI Berlin, Germany"],"raw_orcid":"https://orcid.org/0009-0005-8885-889X","affiliations":[{"raw_affiliation_string":"Computer Science, DFKI Berlin, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027146934","display_name":"Florian Daiber","orcid":"https://orcid.org/0000-0001-5202-7326"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Florian Daiber","raw_affiliation_strings":["COS, DFKI Saarbrucken, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5202-7326","affiliations":[{"raw_affiliation_string":"COS, DFKI Saarbrucken, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028270741","display_name":"Milo\u0161 Krav\u010d\u00edk","orcid":"https://orcid.org/0000-0003-1224-1250"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Milos Kravcik","raw_affiliation_strings":["Educational Technology Lab, DFKI GmbH, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1224-1250","affiliations":[{"raw_affiliation_string":"Educational Technology Lab, DFKI GmbH, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040231655","display_name":"Nghia Duong\u2010Trung","orcid":"https://orcid.org/0000-0002-7402-4166"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nghia Duong-Trung","raw_affiliation_strings":["Educational Technology Lab, German Research Centre for Artificial Intelligence, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7402-4166","affiliations":[{"raw_affiliation_string":"Educational Technology Lab, German Research Centre for Artificial Intelligence, Germany","institution_ids":["https://openalex.org/I33256026"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.207,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95718035,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"223","last_page":"231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9879000186920166,"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":0.9879000186920166,"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/T10157","display_name":"Sports Performance and Training","score":0.955299973487854,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9491000175476074,"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":0.707145631313324},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6826584339141846},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5770375728607178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3651438355445862},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3461688756942749},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08496946096420288}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.707145631313324},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6826584339141846},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5770375728607178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3651438355445862},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3461688756942749},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08496946096420288},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627043.3659547","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627043.3659547","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627043.3659547","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3627043.3659547","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627043.3659547","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627043.3659547","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399913295.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1994446426","https://openalex.org/W2058543238","https://openalex.org/W2142747340","https://openalex.org/W2154580519","https://openalex.org/W2560060912","https://openalex.org/W2571184881","https://openalex.org/W2597547568","https://openalex.org/W2761018626","https://openalex.org/W2808002844","https://openalex.org/W2897081113","https://openalex.org/W3035401619","https://openalex.org/W3122280461","https://openalex.org/W3132457161","https://openalex.org/W3172414590","https://openalex.org/W4224988064","https://openalex.org/W4226003430","https://openalex.org/W4292787291","https://openalex.org/W4308455109","https://openalex.org/W4309480399","https://openalex.org/W4312281997","https://openalex.org/W4312863249","https://openalex.org/W4386263163","https://openalex.org/W4387801190"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W230091440","https://openalex.org/W2390279801","https://openalex.org/W2233261550","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Physical":[0],"fitness":[1,36,118,136,175,215],"presents":[2,60],"a":[3,61,71,88,103,148,152,157],"significant":[4,179],"challenge":[5],"in":[6,151,181,195,230],"ensuring":[7,30],"proper":[8,47],"exercise":[9,19,182,231],"posture.":[10],"Individuals":[11],"who":[12],"work":[13],"out":[14,147],"need":[15,200],"help":[16],"maintaining":[17],"correct":[18,25,93],"posture":[20,83,234],"during":[21,84],"their":[22],"workouts.":[23],"Maintaining":[24],"form":[26,48,232],"is":[27,40],"critical":[28],"for":[29,43,116,128,191,201,204],"the":[31,66,100,132,140,167,199],"safety":[32],"and":[33,70,79,95,124,214,224,233],"effectiveness":[34],"of":[35,68,102,135,142,173],"routines.":[37],"Yet,":[38],"it":[39],"often":[41],"challenging":[42],"individuals":[44,91],"to":[45,75,92,111,131,211,222],"keep":[46],"without":[49,99],"professional":[50,104],"guidance,":[51],"which":[52],"usually":[53],"comes":[54],"at":[55],"expensive":[56],"costs.":[57],"The":[58,160,208],"paper":[59],"novel":[62],"method":[63,89],"that":[64],"utilizes":[65],"capabilities":[67],"YOLOv7":[69],"primary":[72],"web":[73],"camera":[74],"offer":[76],"immediate":[77],"feedback":[78,115],"correction":[80],"on":[81],"body":[82],"gym":[85,158],"activities.":[86],"Such":[87],"empowers":[90],"themselves":[94],"promotes":[96],"motivation":[97],"even":[98],"presence":[101],"trainer.":[105],"This":[106],"system":[107,165],"has":[108],"been":[109],"developed":[110],"provide":[112],"immediate,":[113],"personalized":[114],"various":[117],"exercises.":[119],"It":[120,177],"efficiently":[121],"counts":[122],"repetitions":[123],"provides":[125],"textual":[126],"guidance":[127],"improvement,":[129],"tailored":[130],"specific":[133],"requirements":[134],"enthusiasts.":[137],"To":[138],"determine":[139],"efficacy":[141],"our":[143,163],"technology,":[144],"we":[145],"carried":[146],"user":[149,206],"study":[150,161],"controlled":[153],"laboratory":[154],"setting":[155],"simulating":[156],"environment.":[159],"compares":[162],"interactive":[164,219],"with":[166,184],"traditional":[168],"training":[169,193,228],"method,":[170],"involving":[171],"participants":[172],"varied":[174],"levels.":[176],"showed":[178],"improvements":[180],"technique":[183],"real-time":[185],"feedback.":[186],"These":[187],"findings":[188],"are":[189],"crucial":[190],"AI-supported":[192],"systems":[194],"strength":[196],"training,":[197],"underscoring":[198],"adaptive":[202],"technologies":[203],"different":[205],"experiences.":[207],"research":[209],"contributes":[210],"human-computer":[212],"interaction":[213],"technology":[216],"discussions,":[217],"highlighting":[218],"models\u2019":[220],"potential":[221],"augment":[223],"sometimes":[225],"replicate":[226],"personal":[227],"benefits":[229],"improvement.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
