{"id":"https://openalex.org/W2332551110","doi":"https://doi.org/10.1109/thms.2016.2537760","title":"Expert-Driven Perceptual Features for Modeling Style and Affect in Human Motion","display_name":"Expert-Driven Perceptual Features for Modeling Style and Affect in Human Motion","publication_year":2016,"publication_date":"2016-04-04","ids":{"openalex":"https://openalex.org/W2332551110","doi":"https://doi.org/10.1109/thms.2016.2537760","mag":"2332551110"},"language":"en","primary_location":{"id":"doi:10.1109/thms.2016.2537760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2016.2537760","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"},"type":"article","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/A5111968630","display_name":"S. Ali Etemad","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"S. Ali Etemad","raw_affiliation_strings":["School of Information Technology, Carleton University, Ottawa, ON, Canada"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Carleton University, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063242852","display_name":"Ali Arya","orcid":"https://orcid.org/0000-0002-2550-1296"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Arya","raw_affiliation_strings":["School of Information Technology, Carleton University, Ottawa, ON, Canada"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Carleton University, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111968630"],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":null,"apc_paid":null,"fwci":2.89859455,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.92226529,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"46","issue":"4","first_page":"534","last_page":"545"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.998199999332428,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.674153745174408},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.661211371421814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5793662071228027},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5741590261459351},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.49639230966567993},{"id":"https://openalex.org/keywords/cartesian-coordinate-system","display_name":"Cartesian coordinate system","score":0.48270273208618164},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.48139050602912903},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.4268735349178314},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4003298580646515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3350505828857422},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19258442521095276},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12348541617393494},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.1224660873413086},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1208326518535614}],"concepts":[{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.674153745174408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.661211371421814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5793662071228027},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5741590261459351},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.49639230966567993},{"id":"https://openalex.org/C16038011","wikidata":"https://www.wikidata.org/wiki/Q62912","display_name":"Cartesian coordinate system","level":2,"score":0.48270273208618164},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.48139050602912903},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.4268735349178314},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4003298580646515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3350505828857422},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19258442521095276},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12348541617393494},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.1224660873413086},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1208326518535614},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/thms.2016.2537760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2016.2537760","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310942","display_name":"Ontario Centres of Excellence","ror":"https://ror.org/01t8nk565"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W108589920","https://openalex.org/W1509851262","https://openalex.org/W1803024989","https://openalex.org/W1964965610","https://openalex.org/W1967831536","https://openalex.org/W1968811590","https://openalex.org/W1971913572","https://openalex.org/W1977841100","https://openalex.org/W1982675814","https://openalex.org/W1985059397","https://openalex.org/W1985776666","https://openalex.org/W1986874010","https://openalex.org/W1990717412","https://openalex.org/W1990932462","https://openalex.org/W1991942383","https://openalex.org/W1996579457","https://openalex.org/W1997060370","https://openalex.org/W1999517677","https://openalex.org/W2006017370","https://openalex.org/W2010780621","https://openalex.org/W2020957269","https://openalex.org/W2024221294","https://openalex.org/W2028000151","https://openalex.org/W2032893275","https://openalex.org/W2043769883","https://openalex.org/W2070613221","https://openalex.org/W2080061521","https://openalex.org/W2080608870","https://openalex.org/W2083382040","https://openalex.org/W2097944344","https://openalex.org/W2105433999","https://openalex.org/W2109244124","https://openalex.org/W2112539290","https://openalex.org/W2120051910","https://openalex.org/W2121070199","https://openalex.org/W2125057759","https://openalex.org/W2126734121","https://openalex.org/W2131123711","https://openalex.org/W2144481990","https://openalex.org/W2150635823","https://openalex.org/W2151857564","https://openalex.org/W2161296837","https://openalex.org/W2165857685","https://openalex.org/W2166318210","https://openalex.org/W2168513221","https://openalex.org/W2169564405","https://openalex.org/W2243558602","https://openalex.org/W2290727245","https://openalex.org/W2293431122","https://openalex.org/W2293741035","https://openalex.org/W2338502040","https://openalex.org/W2997065218","https://openalex.org/W3136127717","https://openalex.org/W4205471895","https://openalex.org/W4246745942","https://openalex.org/W4255344641","https://openalex.org/W6604452219","https://openalex.org/W6630514031","https://openalex.org/W6676571245","https://openalex.org/W6678677866","https://openalex.org/W6683789809","https://openalex.org/W6703566725"],"related_works":["https://openalex.org/W1827696521","https://openalex.org/W2039848376","https://openalex.org/W2173450654","https://openalex.org/W2621720158","https://openalex.org/W2091722187","https://openalex.org/W2006196742","https://openalex.org/W2130272765","https://openalex.org/W2055991023","https://openalex.org/W2089042722","https://openalex.org/W2019950433"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,42,64,134],"novel":[4],"approach":[5,17,141],"for":[6,35],"modeling":[7],"features":[8,91],"of":[9,37,45,82,90,106,124,136,149,162],"style":[10,164],"and":[11,75,122,129,142,147,165],"affect":[12,166],"in":[13,55],"human":[14],"motion.":[15,168],"Our":[16],"is":[18,31],"based":[19],"on":[20,159],"inputs":[21],"collected":[22,83],"from":[23,133,167],"experienced":[24],"animators.":[25],"For":[26],"this":[27],"purpose,":[28],"an":[29,87],"interface":[30],"developed":[32],"that":[33,92],"allows":[34],"editing":[36],"motion":[38],"sequences":[39],"by":[40],"adding":[41],"limited":[43],"number":[44],"Gaussian":[46],"radial":[47],"basis":[48],"functions":[49],"(RBFs)":[50],"to":[51,62,68,97],"different":[52],"joint":[53],"trajectories":[54],"3-D":[56],"Cartesian":[57],"space.":[58],"Animators":[59],"are":[60,127],"asked":[61],"alter":[63],"neutral":[65,95],"walking":[66],"sequence":[67],"synthesize":[69],"happy,":[70],"sad,":[71],"feminine,":[72],"masculine,":[73],"energetic,":[74],"tired":[76],"variants.":[77],"Through":[78],"consolidating":[79],"the":[80,98,104,111,125,139,143,150],"sets":[81],"RBFs,":[84],"we":[85],"compute":[86],"expert-driven":[88],"set":[89],"can":[93],"transform":[94],"walks":[96],"mentioned":[99],"variations.":[100],"Moreover,":[101],"details":[102],"regarding":[103],"use":[105],"posture":[107],"versus":[108],"movement":[109],"features,":[110],"most":[112],"frequently":[113],"edited":[114],"body":[115],"joints,":[116],"as":[117,119],"well":[118],"shapes,":[120],"intensities,":[121],"distributions":[123],"edits":[126],"investigated":[128],"presented.":[130],"Perception":[131],"feedback":[132],"group":[135],"nonexperts":[137],"validates":[138],"proposed":[140,151],"effectiveness,":[144],"efficiency,":[145],"scalability,":[146],"inversion":[148],"models.":[152],"The":[153],"perception":[154],"study":[155],"also":[156],"sheds":[157],"light":[158],"several":[160],"aspects":[161],"perceiving":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}