{"id":"https://openalex.org/W2998015552","doi":"https://doi.org/10.1145/3366650.3366680","title":"Detection of Proper Form on Upper Limb Strength Training Using Extremely Randomized Trees for Joint Positions","display_name":"Detection of Proper Form on Upper Limb Strength Training Using Extremely Randomized Trees for Joint Positions","publication_year":2019,"publication_date":"2019-10-18","ids":{"openalex":"https://openalex.org/W2998015552","doi":"https://doi.org/10.1145/3366650.3366680","mag":"2998015552"},"language":"en","primary_location":{"id":"doi:10.1145/3366650.3366680","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3366650.3366680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Computing and Big Data","raw_type":"proceedings-article"},"type":"conference-paper","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/A5028049560","display_name":"Aldrin John Torres","orcid":null},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Aldrin John Torres","raw_affiliation_strings":["School of Information Technology, Map\u00faa University, Makati City, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Map\u00faa University, Makati City, Philippines","institution_ids":["https://openalex.org/I137967721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021639651","display_name":"Clowie Silubrico","orcid":"https://orcid.org/0000-0001-5243-0908"},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Clowie Silubrico","raw_affiliation_strings":["School of Information Technology, Map\u00faa University, Makati City, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Map\u00faa University, Makati City, Philippines","institution_ids":["https://openalex.org/I137967721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072222568","display_name":"Daniel Torralba","orcid":"https://orcid.org/0000-0002-7970-1277"},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Daniel Torralba","raw_affiliation_strings":["School of Information Technology, Map\u00faa University, Makati City, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Map\u00faa University, Makati City, Philippines","institution_ids":["https://openalex.org/I137967721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006126536","display_name":"John Paul Q. Tomas","orcid":"https://orcid.org/0000-0003-0539-4902"},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"John Paul Tomas","raw_affiliation_strings":["School of Information Technology, Map\u00faa University, Makati City, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Map\u00faa University, Makati City, Philippines","institution_ids":["https://openalex.org/I137967721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I137967721"],"apc_list":null,"apc_paid":null,"fwci":0.186,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.41018467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"111","last_page":"115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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":0.9743000268936157,"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":0.7060204148292542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5219070911407471},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.458124041557312},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.42796140909194946},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4027634859085083},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3386867046356201},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13998377323150635},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0856299102306366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7060204148292542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5219070911407471},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.458124041557312},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.42796140909194946},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4027634859085083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3386867046356201},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13998377323150635},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0856299102306366},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3366650.3366680","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3366650.3366680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Computing and Big Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2056132907","https://openalex.org/W2088182383","https://openalex.org/W2105092437","https://openalex.org/W2294964746","https://openalex.org/W2347030627","https://openalex.org/W2373866831","https://openalex.org/W2534095955","https://openalex.org/W2560974548","https://openalex.org/W2748502407","https://openalex.org/W2765290359","https://openalex.org/W2776247130","https://openalex.org/W2787320315","https://openalex.org/W3003190796","https://openalex.org/W4213191351","https://openalex.org/W4390716592"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"Learning":[0],"how":[1],"to":[2,37,55,58,72,147,193,200],"perform":[3,38],"a":[4,8,24,35,177],"workout":[5,25],"usually":[6],"requires":[7],"little":[9],"bit":[10],"of":[11,47,76,87,94,114,151],"research":[12],"for":[13,154,167,181],"people":[14],"without":[15,61],"experience,":[16],"especially":[17],"if":[18,105],"it's":[19],"in":[20,163],"strength":[21],"training":[22,168],"or":[23],"that":[26,186],"uses":[27],"an":[28,31,53],"equipment.":[29],"Having":[30],"experienced":[32],"instructor":[33],"guide":[34],"trainee":[36],"such":[39],"activity":[40],"is":[41,176],"enough,":[42],"but":[43],"with":[44],"the":[45,74,77,81,84,88,92,95,98,101,106,112,140,144,149,152,160,164,171,194,201],"advancement":[46],"computer":[48],"vision,":[49],"it":[50,199],"opens":[51],"up":[52],"opportunity":[54],"use":[56],"technology":[57],"teach":[59],"us":[60],"human":[62],"intervention.":[63],"In":[64],"this":[65],"study,":[66],"Kinect":[67],"V2":[68],"will":[69,103,136,158,187,190],"be":[70,137,159,191],"used":[71,192],"detect":[73],"joints":[75,96,153],"subject":[78,113],"and":[79,83,130,143,169,184,197],"capture":[80],"starting":[82],"end":[85],"position":[86,93],"workout.":[89],"By":[90],"tracking":[91],"through":[97],"RGB-D":[99],"sensor,":[100],"model":[102,165,195],"determine":[104],"posture":[107],"was":[108],"performed":[109],"correctly":[110],"by":[111],"these":[115],"5":[116],"(five)":[117],"workouts:":[118],"dumbbell":[119,122,128],"lateral":[120],"raise,":[121,127],"shoulder":[123],"press,":[124],"barbell":[125,131],"front":[126],"shrug,":[129],"upright":[132],"row.":[133],"The":[134],"data":[135],"collected":[138],"using":[139],"Java":[141],"language":[142],"KinectPV2":[145],"library":[146],"get":[148],"coordinates":[150],"each":[155],"subject.":[156],"Scikit-learn":[157],"chosen":[161],"platform":[162],"creation":[166],"testing":[170],"datasets.":[172],"Extremely":[173],"Randomized":[174],"Trees":[175],"tree-based":[178],"ensemble":[179],"method":[180],"supervised":[182],"classification":[183],"regression":[185],"randomize.":[188],"ERT":[189],"proposed":[196],"compare":[198],"KNN.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
