{"id":"https://openalex.org/W2989786669","doi":"https://doi.org/10.3390/s19235129","title":"Yoga Posture Recognition and Quantitative Evaluation with Wearable Sensors Based on Two-Stage Classifier and Prior Bayesian Network","display_name":"Yoga Posture Recognition and Quantitative Evaluation with Wearable Sensors Based on Two-Stage Classifier and Prior Bayesian Network","publication_year":2019,"publication_date":"2019-11-23","ids":{"openalex":"https://openalex.org/W2989786669","doi":"https://doi.org/10.3390/s19235129","mag":"2989786669","pmid":"https://pubmed.ncbi.nlm.nih.gov/31771131"},"language":"en","primary_location":{"id":"doi:10.3390/s19235129","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19235129","pdf_url":"https://www.mdpi.com/1424-8220/19/23/5129/pdf?version=1575438102","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/19/23/5129/pdf?version=1575438102","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012602474","display_name":"Ze Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Wu","raw_affiliation_strings":["Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115593925","display_name":"Jiwen Zhang","orcid":"https://orcid.org/0000-0003-1632-9516"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwen Zhang","raw_affiliation_strings":["Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420336","display_name":"Ken Chen","orcid":"https://orcid.org/0000-0002-0596-375X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ken Chen","raw_affiliation_strings":["Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024107992","display_name":"Chenglong Fu","orcid":"https://orcid.org/0000-0002-8955-5429"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenglong Fu","raw_affiliation_strings":["Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055, China"],"raw_orcid":"https://orcid.org/0000-0002-8955-5429","affiliations":[{"raw_affiliation_string":"Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024107992"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.9752,"has_fulltext":true,"cited_by_count":54,"citation_normalized_percentile":{"value":0.91258519,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"19","issue":"23","first_page":"5129","last_page":"5129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9944999814033508,"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":0.9944999814033508,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9670000076293945,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.730296790599823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5811595916748047},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5655396580696106},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5529350638389587},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5314354300498962},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.49641352891921997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4953681230545044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4404504597187042},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43907830119132996},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.08321952819824219}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.730296790599823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5811595916748047},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5655396580696106},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5529350638389587},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5314354300498962},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.49641352891921997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4953681230545044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4404504597187042},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43907830119132996},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.08321952819824219},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001132","descriptor_name":"Arm","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001132","descriptor_name":"Arm","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001132","descriptor_name":"Arm","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001696","descriptor_name":"Biomechanical Phenomena","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001696","descriptor_name":"Biomechanical Phenomena","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001696","descriptor_name":"Biomechanical Phenomena","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005069","descriptor_name":"Evaluation Studies as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005069","descriptor_name":"Evaluation Studies as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005069","descriptor_name":"Evaluation Studies as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005246","descriptor_name":"Feedback","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005246","descriptor_name":"Feedback","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005246","descriptor_name":"Feedback","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D015013","descriptor_name":"Yoga","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015013","descriptor_name":"Yoga","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015013","descriptor_name":"Yoga","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.3390/s19235129","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19235129","pdf_url":"https://www.mdpi.com/1424-8220/19/23/5129/pdf?version=1575438102","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:31771131","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31771131","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:mdpi.com:/1424-8220/19/23/5129/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19235129","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6929085","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6929085","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19235129","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19235129","pdf_url":"https://www.mdpi.com/1424-8220/19/23/5129/pdf?version=1575438102","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G5411416347","display_name":null,"funder_award_id":"61533004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5427781731","display_name":null,"funder_award_id":"U1613206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5868375588","display_name":null,"funder_award_id":"2018YFB1305400","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6199366631","display_name":null,"funder_award_id":"U1613206, 61533004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6207375473","display_name":null,"funder_award_id":"2016ZT06G587","funder_id":"https://openalex.org/F4320313609","funder_display_name":"Guangdong Innovative and Entrepreneurial Research Team Program"},{"id":"https://openalex.org/G7023048912","display_name":null,"funder_award_id":"2018YFB1305400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7182720327","display_name":null,"funder_award_id":"2016ZT06G587","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G814973384","display_name":null,"funder_award_id":"2018YFC2001601","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320313609","display_name":"Guangdong Innovative and Entrepreneurial Research Team Program","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327605","display_name":"Southern University of Science and Technology","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2989786669.pdf","grobid_xml":"https://content.openalex.org/works/W2989786669.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W272202649","https://openalex.org/W1910567995","https://openalex.org/W1970486124","https://openalex.org/W1972263469","https://openalex.org/W1981303683","https://openalex.org/W1990486349","https://openalex.org/W2051560512","https://openalex.org/W2090110089","https://openalex.org/W2105746832","https://openalex.org/W2124905374","https://openalex.org/W2137448229","https://openalex.org/W2137935458","https://openalex.org/W2171226639","https://openalex.org/W2180884865","https://openalex.org/W2394517444","https://openalex.org/W2517113976","https://openalex.org/W2672946026","https://openalex.org/W2736626031","https://openalex.org/W2771247593","https://openalex.org/W2787320315","https://openalex.org/W2787514794","https://openalex.org/W2794402674","https://openalex.org/W2794693078","https://openalex.org/W2888383875","https://openalex.org/W2891553967","https://openalex.org/W2891671902","https://openalex.org/W2912295676","https://openalex.org/W2923072736","https://openalex.org/W2944912183","https://openalex.org/W2957121425","https://openalex.org/W2971733775","https://openalex.org/W6610013319","https://openalex.org/W6741377795"],"related_works":["https://openalex.org/W2329386257","https://openalex.org/W2503350049","https://openalex.org/W2294565841","https://openalex.org/W2397616145","https://openalex.org/W3204276839","https://openalex.org/W2397320258","https://openalex.org/W4229671472","https://openalex.org/W2513792068","https://openalex.org/W2519522639","https://openalex.org/W4293469093"],"abstract_inverted_index":{"Currently,":[0],"with":[1,183,205,222,229,288,369,380],"the":[2,74,85,102,107,135,145,150,161,174,213,226,246,256,265,274,278,294,312,327,340,358,364,382],"satisfaction":[3],"of":[4,134,164,232,277,317,329,343,366],"people's":[5,19],"material":[6],"life,":[7],"sports,":[8],"like":[9,33],"yoga":[10,24,30,37,68,90,219,360],"and":[11,49,60,66,95,173,225,236,250,270,273,307,338,350,368],"tai":[12],"chi,":[13],"have":[14],"become":[15],"essential":[16],"activities":[17],"in":[18,109,363],"daily":[20],"life.":[21],"For":[22],"most":[23],"amateurs,":[25],"they":[26,44],"could":[27,40,177,346],"only":[28],"learn":[29],"by":[31,372],"self-study,":[32],"mechanically":[34],"imitating":[35],"from":[36,242,264,302],"video.":[38],"They":[39],"not":[41],"know":[42],"whether":[43],"performed":[45],"standardly":[46],"without":[47,367],"feedback":[48],"guidance.":[50,353],"In":[51,255,293],"this":[52],"paper,":[53],"we":[54],"proposed":[55,374],"a":[56,110,122,128,202,230],"full-body":[57],"posture":[58,113,220,227,238,247,290,345,361],"modeling":[59],"quantitative":[61],"evaluation":[62,251,295],"method":[63],"to":[64,70,73,88,105,126,139,144,149,158,180,217,267,310],"recognize":[65],"evaluate":[67,160,199],"postures":[69,91,108],"provide":[71,181],"guidance":[72,182,370],"learner.":[75],"Back":[76],"propagation":[77],"artificial":[78],"neural":[79],"network":[80],"(BP-ANN)":[81],"was":[82,99,119,154,215,240,261,282],"adopted":[83],"as":[84,101,121,156,188],"first":[86],"classifier":[87,104],"divide":[89],"into":[92],"different":[93],"categories,":[94],"fuzzy":[96],"C-means":[97],"(FCM)":[98],"utilized":[100],"second":[103],"classify":[106],"category.":[111],"The":[112,131,167,315,376],"data":[114,221,234,260,281,298],"on":[115],"each":[116,140],"body":[117,141,152,165,214,344],"part":[118,142,153],"regarded":[120],"multidimensional":[123],"Gaussian":[124,136,146],"variable":[125,137,147],"build":[127],"Bayesian":[129,313],"network.":[130,314],"conditional":[132],"probability":[133],"corresponding":[138,148],"relative":[143],"connected":[151],"used":[155],"criterion":[157],"quantitatively":[159],"standard":[162,175,330],"degree":[163],"parts.":[166],"angular":[168],"differences":[169],"between":[170],"nonstandard":[171,318,341],"parts":[172,319,331,342],"model":[176],"be":[178,347],"calculated":[179],"an":[184],"easily-accepted":[185],"language,":[186],"such":[187],"\"lift":[189],"up":[190],"your":[191,195],"left":[192],"arm\",":[193],"\"straighten":[194],"right":[196],"forearm\".":[197],"To":[198],"our":[200,373],"method,":[201],"wearable":[203],"device":[204],"11":[206,243],"inertial":[207],"measurement":[208],"units":[209],"(IMUs)":[210],"fixed":[211],"onto":[212],"designed":[216],"measure":[218],"quaternion":[223],"format,":[224],"database":[228,266],"total":[231],"211,643":[233],"frames":[235],"1831":[237],"instances":[239],"collected":[241],"subjects.":[244],"Both":[245],"recognition":[248,257,275,291],"test":[249,252],"were":[253,299,320,332],"conducted.":[254],"test,":[258,296],"30%":[259,297],"randomly":[262,301],"picked":[263,300,351],"train":[268,311],"BP-ANN":[269],"FCM":[271],"classifiers,":[272],"accuracy":[276],"remaining":[279],"70%":[280],"95.39%,":[283],"which":[284],"is":[285],"highly":[286],"competitive":[287],"previous":[289],"approaches.":[292],"subject":[303,305,308],"three,":[304],"four,":[306],"six,":[309],"probabilities":[316,328],"almost":[321,333],"all":[322,334],"smaller":[323],"than":[324,336],"0.3,":[325],"while":[326],"greater":[335],"0.5,":[337],"thus":[339],"effectively":[348],"separated":[349],"for":[352],"We":[354],"also":[355],"tested":[356],"separately":[357],"trainers'":[359],"performance":[362],"condition":[365],"provided":[371],"method.":[375],"results":[377],"showed":[378],"that":[379],"guidance,":[381],"joint":[383],"angle":[384],"errors":[385],"significantly":[386],"decreased.":[387]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
