{"id":"https://openalex.org/W2325937488","doi":"https://doi.org/10.1109/embc.2014.6943516","title":"Human motion segmentation by data point classification","display_name":"Human motion segmentation by data point classification","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2325937488","doi":"https://doi.org/10.1109/embc.2014.6943516","mag":"2325937488","pmid":"https://pubmed.ncbi.nlm.nih.gov/25569884"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2014.6943516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6943516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"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/A5020793193","display_name":"Jonathan Feng-Shun Lin","orcid":"https://orcid.org/0000-0002-0008-7199"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jonathan Feng-Shun Lin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065254363","display_name":"Vladimir Joukov","orcid":"https://orcid.org/0000-0002-6549-2398"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Vladimir Joukov","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072377971","display_name":"Dana Kuli\u0107","orcid":"https://orcid.org/0000-0002-4169-2141"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dana Kulic","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2014","issue":null,"first_page":"9","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9941999912261963,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/segmentation","display_name":"Segmentation","score":0.7866579294204712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7340636849403381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6917835474014282},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.585281491279602},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5628087520599365},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5001547336578369},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4439283609390259},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.43545299768447876},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.41542935371398926},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41506996750831604},{"id":"https://openalex.org/keywords/rehabilitation","display_name":"Rehabilitation","score":0.4136182367801666},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36959344148635864},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14762571454048157},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10203447937965393},{"id":"https://openalex.org/keywords/physical-therapy","display_name":"Physical therapy","score":0.09013605117797852}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7866579294204712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7340636849403381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6917835474014282},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.585281491279602},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5628087520599365},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5001547336578369},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4439283609390259},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.43545299768447876},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.41542935371398926},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41506996750831604},{"id":"https://openalex.org/C2778818304","wikidata":"https://www.wikidata.org/wiki/Q1819478","display_name":"Rehabilitation","level":2,"score":0.4136182367801666},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36959344148635864},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14762571454048157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10203447937965393},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.09013605117797852},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"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":"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":"D007719","descriptor_name":"Knee Joint","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007719","descriptor_name":"Knee Joint","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007719","descriptor_name":"Knee Joint","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012046","descriptor_name":"Rehabilitation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012046","descriptor_name":"Rehabilitation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012046","descriptor_name":"Rehabilitation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2014.6943516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6943516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:25569884","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25569884","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1545046063","https://openalex.org/W2002016471","https://openalex.org/W2059093038","https://openalex.org/W2062465628","https://openalex.org/W2063646365","https://openalex.org/W2080647538","https://openalex.org/W2082821042","https://openalex.org/W2083524136","https://openalex.org/W2092012469","https://openalex.org/W2102873422","https://openalex.org/W2108880624","https://openalex.org/W2109485196","https://openalex.org/W2124059558","https://openalex.org/W2125838338","https://openalex.org/W2131981197","https://openalex.org/W2132549764","https://openalex.org/W2137570937","https://openalex.org/W2139212933","https://openalex.org/W2140833774","https://openalex.org/W2145073242","https://openalex.org/W2149354205","https://openalex.org/W2153635508","https://openalex.org/W2154063878","https://openalex.org/W2483430316","https://openalex.org/W2912934387","https://openalex.org/W2979006918","https://openalex.org/W4212883601","https://openalex.org/W6671369102","https://openalex.org/W6681651645","https://openalex.org/W6768650569"],"related_works":["https://openalex.org/W3196329781","https://openalex.org/W1522196789","https://openalex.org/W4207023496","https://openalex.org/W585325435","https://openalex.org/W4317826877","https://openalex.org/W2648057","https://openalex.org/W2032880931","https://openalex.org/W2740961807","https://openalex.org/W4322774593","https://openalex.org/W2083041801"],"abstract_inverted_index":{"Contemporary":[0],"physiotherapy":[1],"and":[2,11,29,75],"rehabilitation":[3,73],"practice":[4],"uses":[5],"subjective":[6],"measures":[7],"for":[8,26],"motion":[9],"evaluation":[10],"requires":[12],"time-consuming":[13],"supervision.":[14],"Algorithms":[15],"that":[16],"can":[17],"accurately":[18],"segment":[19,55],"patient":[20,31,49],"movement":[21,50],"would":[22],"provide":[23],"valuable":[24],"data":[25,45,51],"progress":[27],"tracking":[28],"on-line":[30],"feedback.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36],"propose":[37],"a":[38,54,58,77],"two-class":[39],"classifier":[40],"approach":[41],"to":[42,66],"label":[43],"each":[44],"point":[46,56],"in":[47],"the":[48],"as":[52],"either":[53],"or":[57],"non-segment":[59],"point.":[60],"The":[61],"proposed":[62],"technique":[63],"was":[64],"applied":[65],"20":[67],"healthy":[68],"subjects":[69],"performing":[70],"lower":[71],"body":[72],"exercises,":[74],"achieves":[76],"segmentation":[78],"accuracy":[79],"of":[80],"82%.":[81]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
