{"id":"https://openalex.org/W1972468149","doi":"https://doi.org/10.1109/humanoids.2014.7041467","title":"Full-body multi-primitive segmentation using classifiers","display_name":"Full-body multi-primitive segmentation using classifiers","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W1972468149","doi":"https://doi.org/10.1109/humanoids.2014.7041467","mag":"1972468149"},"language":"en","primary_location":{"id":"doi:10.1109/humanoids.2014.7041467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/humanoids.2014.7041467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE-RAS International Conference on Humanoid Robots","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/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":["(University of Waterloo)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"(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":["(University of Waterloo)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"(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":["(University of Waterloo)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"(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":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"874","last_page":"880"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991000294685364,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7838401794433594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7039520740509033},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6532930135726929},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49454590678215027},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.48806607723236084},{"id":"https://openalex.org/keywords/isomap","display_name":"Isomap","score":0.48702579736709595},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4506736099720001},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.44412657618522644},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4211937487125397},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.41750410199165344},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4131460189819336},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.410788357257843},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.3960478901863098},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36109453439712524},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34148621559143066},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.2206655740737915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18025881052017212}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7838401794433594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7039520740509033},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6532930135726929},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49454590678215027},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.48806607723236084},{"id":"https://openalex.org/C2778626561","wikidata":"https://www.wikidata.org/wiki/Q6086067","display_name":"Isomap","level":4,"score":0.48702579736709595},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4506736099720001},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.44412657618522644},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4211937487125397},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.41750410199165344},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4131460189819336},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.410788357257843},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.3960478901863098},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36109453439712524},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34148621559143066},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.2206655740737915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18025881052017212},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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":[],"locations_count":1,"locations":[{"id":"doi:10.1109/humanoids.2014.7041467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/humanoids.2014.7041467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE-RAS International Conference on Humanoid Robots","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1571401318","https://openalex.org/W1986014385","https://openalex.org/W1988879366","https://openalex.org/W1992967865","https://openalex.org/W2002016471","https://openalex.org/W2023425306","https://openalex.org/W2024649868","https://openalex.org/W2063646365","https://openalex.org/W2070808135","https://openalex.org/W2092012469","https://openalex.org/W2108880624","https://openalex.org/W2109485196","https://openalex.org/W2119350939","https://openalex.org/W2121110499","https://openalex.org/W2121127941","https://openalex.org/W2132549764","https://openalex.org/W2137570937","https://openalex.org/W2139212933","https://openalex.org/W2142194269","https://openalex.org/W2145073242","https://openalex.org/W2153635508","https://openalex.org/W2154063878","https://openalex.org/W2154543878","https://openalex.org/W2161491846","https://openalex.org/W2170024361","https://openalex.org/W2325937488","https://openalex.org/W2546143719","https://openalex.org/W2912934387"],"related_works":["https://openalex.org/W2139206098","https://openalex.org/W1030125312","https://openalex.org/W2517104666","https://openalex.org/W1669643531","https://openalex.org/W2134924024","https://openalex.org/W2039154422","https://openalex.org/W2754350655","https://openalex.org/W4286448033","https://openalex.org/W4281619272","https://openalex.org/W3000698475"],"abstract_inverted_index":{"During":[0],"human-robot":[1],"interaction,":[2],"the":[3,13,16,22,34,54],"robot":[4],"observes":[5],"a":[6,59,69,73,82,106,132],"continuous":[7],"stream":[8],"of":[9,15,84,113,139],"time-series":[10,35,55],"data":[11,36,65],"capturing":[12],"behaviour":[14],"human":[17],"and":[18,31,47,76],"any":[19],"changes":[20],"in":[21],"environment.":[23],"For":[24],"applications":[25],"such":[26],"as":[27,67],"imitation":[28],"learning,":[29],"intention":[30],"gesture":[32],"recognition,":[33],"is":[37],"typically":[38],"segmented":[39],"into":[40,58],"action":[41],"or":[42,72],"motion":[43,87],"primitives,":[44],"requiring":[45],"accurate":[46],"online":[48],"temporal":[49],"segmentation.":[50],"This":[51],"paper":[52],"casts":[53],"segmentation":[56],"problem":[57],"two-class":[60],"classification":[61,107,133],"problem,":[62],"labelling":[63],"each":[64],"point":[66],"either":[68],"segment":[70],"edge":[71],"within-segment":[74],"point,":[75],"applies":[77],"several":[78],"common":[79],"classifiers":[80],"to":[81,102,117,126,143],"set":[83],"full":[85],"body":[86],"data.":[88],"The":[89,120],"support":[90],"vector":[91],"machine":[92],"combined":[93],"with":[94,105],"principal":[95],"component":[96],"analysis":[97],"dimensionality":[98],"reduction":[99],"were":[100],"found":[101],"perform":[103],"best,":[104],"F":[108,134],"<sub":[109,135],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[110,136],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[111,137],"score":[112,138],"91%":[114],"when":[115,141],"applied":[116,142],"novel":[118,144],"exemplars.":[119],"proposed":[121],"approach":[122],"can":[123],"also":[124],"generalize":[125],"motions":[127],"unseen":[128],"during":[129],"training,":[130],"achieving":[131],"83%":[140],"motions.":[145]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
