{"id":"https://openalex.org/W2400586692","doi":"https://doi.org/10.3233/978-1-61499-139-7-91","title":"Modelling facial expressions dynamics with Gaussian Process Regression","display_name":"Modelling facial expressions dynamics with Gaussian Process Regression","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2400586692","doi":"https://doi.org/10.3233/978-1-61499-139-7-91","mag":"2400586692"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-139-7-91","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-139-7-91","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5116358858","display_name":"Ruiz Adria","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ruiz Adria","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005841775","display_name":"Xavier Binefa","orcid":"https://orcid.org/0000-0002-4324-9952"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Binefa Xavier","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5116358858"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2348,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62726512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.614799976348877,"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/T11448","display_name":"Face recognition and analysis","score":0.614799976348877,"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":0.5921000242233276,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.5220000147819519,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.6167816519737244},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.574658215045929},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5587549805641174},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.509194552898407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4762016534805298},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3848581910133362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3655511438846588},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.35585862398147583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3480898141860962},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3350163698196411},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21407026052474976},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14895814657211304}],"concepts":[{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.6167816519737244},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.574658215045929},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5587549805641174},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.509194552898407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4762016534805298},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3848581910133362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3655511438846588},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.35585862398147583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3480898141860962},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3350163698196411},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21407026052474976},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14895814657211304},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-139-7-91","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-139-7-91","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"mag:2400586692","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/ccia/ccia2012.html#RuizB12","pdf_url":null,"source":{"id":"https://openalex.org/S4306505786","display_name":"CCIA","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"CCIA","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4099999964237213,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1636325709","https://openalex.org/W2724817865","https://openalex.org/W2400992695","https://openalex.org/W2382944939","https://openalex.org/W2771969352","https://openalex.org/W82723519","https://openalex.org/W1964286703","https://openalex.org/W2169866437","https://openalex.org/W2115519811","https://openalex.org/W3056417032"],"abstract_inverted_index":{"It":[0],"has":[1,107],"been":[2],"shown":[3],"that":[4,119],"the":[5,9,56,70,82,85,91,97,105,114],"temporal":[6,43,58],"evolution":[7,92],"of":[8,84,88,93,134],"face":[10],"during":[11],"an":[12],"expression":[13,57],"is":[14],"important":[15],"to":[16,27,54,68,102],"its":[17],"correct":[18],"interpretation.":[19],"In":[20,46,111],"recent":[21],"years":[22],"some":[23],"approaches":[24],"have":[25],"attempt":[26],"model":[28,55],"facial":[29],"expressions":[30],"dynamics":[31,59],"by":[32],"different":[33,86],"methods":[34,130],"such":[35],"as":[36],"HMMs,":[37],"Dynamic":[38],"Bayesian":[39,42],"Networks":[40],"or":[41],"manifold":[44],"model.":[45],"this":[47,120],"paper,":[48],"we":[49,65,99,117],"present":[50],"a":[51,124,132],"novel":[52],"approach":[53],"using":[60],"Gaussian":[61],"Process":[62],"Regression.":[63],"Specifically,":[64],"use":[66],"it":[67],"map":[69],"geometric":[71],"features":[72],"in":[73],"any":[74,109],"sequence":[75],"frame":[76],"into":[77],"continuous":[78],"values":[79,95],"related":[80],"with":[81,113,131],"intensity":[83],"types":[87],"expressions.":[89],"Using":[90],"these":[94],"along":[96],"sequence,":[98],"are":[100],"able":[101],"determine":[103],"if":[104],"subject":[106],"performed":[108],"expression.":[110],"tests":[112],"Cohn-Kanade":[115],"database":[116],"show":[118],"method":[121],"can":[122],"reach":[123],"higher":[125],"performance":[126],"than":[127],"other":[128],"existing":[129],"97.4%":[133],"accuracy.":[135]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}