{"id":"https://openalex.org/W1982167743","doi":"https://doi.org/10.1109/mmar.2013.6669895","title":"Identification-driven emotion recognition system for a social robot","display_name":"Identification-driven emotion recognition system for a social robot","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W1982167743","doi":"https://doi.org/10.1109/mmar.2013.6669895","mag":"1982167743"},"language":"en","primary_location":{"id":"doi:10.1109/mmar.2013.6669895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmar.2013.6669895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Methods &amp; Models in Automation &amp; Robotics (MMAR)","raw_type":"proceedings-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/A5071472971","display_name":"Mateusz \u017barkowski","orcid":"https://orcid.org/0000-0002-5690-2770"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Mateusz Zarkowski","raw_affiliation_strings":["Wroclaw University of Technology","Wroclaw University of Technology. Wroclaw. Poland"],"affiliations":[{"raw_affiliation_string":"Wroclaw University of Technology","institution_ids":["https://openalex.org/I11923345"]},{"raw_affiliation_string":"Wroclaw University of Technology. Wroclaw. Poland","institution_ids":["https://openalex.org/I11923345"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071472971"],"corresponding_institution_ids":["https://openalex.org/I11923345"],"apc_list":null,"apc_paid":null,"fwci":1.7645,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84395117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"138","last_page":"143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"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/T10057","display_name":"Face and Expression Recognition","score":0.9955999851226807,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9930999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.755123496055603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7115824222564697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6561538577079773},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.619647741317749},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6136488318443298},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5776340365409851},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5630128979682922},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5406754016876221},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.49348604679107666},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.4780326783657074},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.44139364361763},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4282418191432953}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.755123496055603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7115824222564697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6561538577079773},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.619647741317749},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6136488318443298},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5776340365409851},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5630128979682922},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5406754016876221},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.49348604679107666},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.4780326783657074},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.44139364361763},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4282418191432953}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmar.2013.6669895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmar.2013.6669895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Methods &amp; Models in Automation &amp; Robotics (MMAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323564","display_name":"Politechnika Wroc\u0142awska","ror":"https://ror.org/008fyn775"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1913860614","https://openalex.org/W1968773332","https://openalex.org/W2009375902","https://openalex.org/W2033773055","https://openalex.org/W2038952578","https://openalex.org/W2076017598","https://openalex.org/W2152826865","https://openalex.org/W2159017231","https://openalex.org/W2544981553","https://openalex.org/W2995034616","https://openalex.org/W4285719527","https://openalex.org/W6640067882","https://openalex.org/W6771710517"],"related_works":["https://openalex.org/W2113454941","https://openalex.org/W2951122819","https://openalex.org/W4288315282","https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W2088711785","https://openalex.org/W3147024994","https://openalex.org/W4285246984","https://openalex.org/W2075660794"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,12,29,110,144],"design":[4],"of":[5,65,69,81,96,117,137,141],"identification-driven":[6],"visual":[7],"emotion":[8,23,31,92,105],"recognition":[9,106,122,147,155],"system":[10,71,86,133],"for":[11],"social":[13],"robot.":[14],"The":[15,33,43,67,85,94,115,139,171],"proposed":[16],"modification":[17,172],"includes":[18],"identification":[19,142],"step":[20,46],"prior":[21],"to":[22,27,89,100,124,148,160,169],"classification":[24,97],"in":[25,113,146],"order":[26],"provide":[28],"personalized":[30],"recognition.":[32],"facial":[34],"detection":[35],"and":[36,78,107],"parametrization":[37],"is":[38,47,87],"done":[39],"by":[40],"FaceTracker":[41],"application.":[42],"feature":[44,51],"extraction":[45],"based":[48],"on":[49,57],"authorial":[50],"set":[52],"definition,":[53],"that":[54],"will":[55],"work":[56],"any":[58],"given":[59],"mesh":[60],"model,":[61],"which":[62],"guarantees":[63],"ease":[64],"modification.":[66],"evaluation":[68],"the":[70,121,130,135],"uses":[72],"two":[73],"discriminant":[74,149,153,164],"classifiers,":[75],"decision":[76],"tree":[77],"four":[79],"variants":[80],"nearest":[82,179],"neighbour":[83,180],"classifier.":[84],"able":[88],"recognize":[90],"7":[91],"classes.":[93],"results":[95],"were":[98],"compared":[99],"previous":[101,131],"research":[102],"concerning":[103],"interpersonal":[104,132],"had":[108,173],"shown":[109],"significant":[111],"improvement":[112],"performance.":[114,182],"usage":[116],"personal":[118],"data":[119],"increased":[120,157,166],"rate":[123,136,156],"99%":[125],"with":[126],"1NN":[127],"classifier,":[128],"while":[129,162],"achieved":[134],"82%.":[138],"addition":[140],"provided":[143],"boost":[145],"analysis":[150,154,165],"classifiers.":[151],"Linear":[152],"from":[158,167],"69%":[159],"87%,":[161],"quadratic":[163],"81%":[168],"92%.":[170],"no":[174],"effect":[175],"on,":[176],"already":[177],"high,":[178],"classifiers":[181]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
