{"id":"https://openalex.org/W4309997707","doi":"https://doi.org/10.1109/acii55700.2022.9953842","title":"Evaluating Temporal Patterns in Applied Infant Affect Recognition","display_name":"Evaluating Temporal Patterns in Applied Infant Affect Recognition","publication_year":2022,"publication_date":"2022-10-18","ids":{"openalex":"https://openalex.org/W4309997707","doi":"https://doi.org/10.1109/acii55700.2022.9953842"},"language":"en","primary_location":{"id":"doi:10.1109/acii55700.2022.9953842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii55700.2022.9953842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)","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/A5060803281","display_name":"Allen Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Allen Chang","raw_affiliation_strings":["University of Southern California,Computer Science Department,Los Angeles,USA","Computer Science Department, University of Southern California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Computer Science Department,Los Angeles,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Computer Science Department, University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059421101","display_name":"L. B. Klein","orcid":"https://orcid.org/0000-0002-3346-9548"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lauren Klein","raw_affiliation_strings":["University of Southern California,Computer Science Department,Los Angeles,USA","Computer Science Department, University of Southern California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Computer Science Department,Los Angeles,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Computer Science Department, University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078082755","display_name":"Marcelo R. Rosales","orcid":"https://orcid.org/0000-0003-3553-6051"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marcelo R. Rosales","raw_affiliation_strings":["University of Southern California,Division of Biokinesiology and Physical Therapy,Los Angeles,USA","Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Division of Biokinesiology and Physical Therapy,Los Angeles,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052955469","display_name":"Weiyang Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weiyang Deng","raw_affiliation_strings":["University of Southern California,Division of Biokinesiology and Physical Therapy,Los Angeles,USA","Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Division of Biokinesiology and Physical Therapy,Los Angeles,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082441999","display_name":"Beth A. Smith","orcid":"https://orcid.org/0000-0003-2531-5394"},"institutions":[{"id":"https://openalex.org/I1336910626","display_name":"Children's Hospital of Los Angeles","ror":"https://ror.org/00412ts95","country_code":"US","type":"funder","lineage":["https://openalex.org/I1336910626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Beth A. Smith","raw_affiliation_strings":["Infant Neuromotor Control Lab, Children&#x0027;s Hospital Los Angeles,Los Angeles,USA"],"affiliations":[{"raw_affiliation_string":"Infant Neuromotor Control Lab, Children&#x0027;s Hospital Los Angeles,Los Angeles,USA","institution_ids":["https://openalex.org/I1336910626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010248533","display_name":"Maja J. Matari\u0107","orcid":"https://orcid.org/0000-0001-8958-6666"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maja J. Mataric","raw_affiliation_strings":["University of Southern California,Computer Science Department,Los Angeles,USA","Computer Science Department, University of Southern California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Computer Science Department,Los Angeles,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Computer Science Department, University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060803281"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28133216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13289","display_name":"Infant Health and Development","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13289","display_name":"Infant Health and Development","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9991999864578247,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.9922000169754028,"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/affect","display_name":"Affect (linguistics)","score":0.7719714641571045},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6868023872375488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6128451824188232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5694732069969177},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5577956438064575},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5182185769081116},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4602121412754059},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.4354836940765381},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4114447832107544},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3777742385864258},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3599661588668823},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3481571674346924},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2526664733886719},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.09781584143638611}],"concepts":[{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.7719714641571045},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6868023872375488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6128451824188232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5694732069969177},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5577956438064575},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5182185769081116},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4602121412754059},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.4354836940765381},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4114447832107544},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3777742385864258},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3599661588668823},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3481571674346924},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2526664733886719},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.09781584143638611},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acii55700.2022.9953842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii55700.2022.9953842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G5069083555","display_name":null,"funder_award_id":"NSF CBET-1706964","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1591801644","https://openalex.org/W1979173241","https://openalex.org/W2015756385","https://openalex.org/W2024221294","https://openalex.org/W2025660290","https://openalex.org/W2029538510","https://openalex.org/W2042081239","https://openalex.org/W2060896963","https://openalex.org/W2107188510","https://openalex.org/W2109725534","https://openalex.org/W2142385019","https://openalex.org/W2155653793","https://openalex.org/W2170328207","https://openalex.org/W2189329626","https://openalex.org/W2541604517","https://openalex.org/W2559085405","https://openalex.org/W2795683013","https://openalex.org/W2807126412","https://openalex.org/W2886105060","https://openalex.org/W2901674509","https://openalex.org/W2908176280","https://openalex.org/W2942314792","https://openalex.org/W2963631961","https://openalex.org/W2998542624","https://openalex.org/W2999237480","https://openalex.org/W3007611314","https://openalex.org/W3087489940","https://openalex.org/W3093636357","https://openalex.org/W3105560370","https://openalex.org/W3105907928","https://openalex.org/W3106028942","https://openalex.org/W3129933032","https://openalex.org/W3196192739","https://openalex.org/W3200726856","https://openalex.org/W3212368439","https://openalex.org/W6635446068","https://openalex.org/W6687194839","https://openalex.org/W6730277886","https://openalex.org/W6747564732","https://openalex.org/W6756033184"],"related_works":["https://openalex.org/W2753175802","https://openalex.org/W2809214204","https://openalex.org/W4398164220","https://openalex.org/W2745497104","https://openalex.org/W2773864994","https://openalex.org/W2341941284","https://openalex.org/W2775620487","https://openalex.org/W1997400788","https://openalex.org/W2112393832","https://openalex.org/W2722112567"],"abstract_inverted_index":{"Agents":[0],"must":[1],"monitor":[2],"their":[3,63],"partners'":[4],"affective":[5,39,59,173,184],"states":[6,60],"continuously":[7],"in":[8,14,28,46,50,67,79,195,209,216],"order":[9],"to":[10,62,65,76,104,226],"understand":[11],"and":[12,91,117,150,176,215],"engage":[13],"social":[15,227],"interactions.":[16,228],"However,":[17,153],"methods":[18],"for":[19,26,199],"evaluating":[20,207],"affect":[21,47,85,197,224],"recognition":[22,86,198,225],"do":[23],"not":[24],"account":[25],"changes":[27],"classification":[29,48],"performance":[30,49,107,142,167,211],"that":[31],"may":[32],"occur":[33],"during":[34],"occlusions":[35,78],"or":[36],"transitions":[37],"between":[38],"states.":[40],"This":[41],"paper":[42],"addresses":[43],"temporal":[44],"patterns":[45],"the":[51,112,139,162,182,189,204,217],"context":[52],"of":[53,100,181,191,206,219],"an":[54,97,172],"infant-robot":[55],"interaction,":[56],"where":[57],"infants'":[58],"contribute":[61],"ability":[64],"participate":[66],"a":[68,131],"therapeutic":[69],"leg":[70],"movement":[71],"activity.":[72],"To":[73],"support":[74],"robustness":[75],"facial":[77,90,136,149],"video":[80],"recordings,":[81],"we":[82,95],"trained":[83,134,146],"infant":[84,119],"classifiers":[87],"using":[88],"both":[89,148,212],"body":[92,151,193],"features.":[93,152],"Next,":[94],"conducted":[96],"in-depth":[98],"analysis":[99],"our":[101],"best-performing":[102],"models":[103,113,145,155,158],"evaluate":[105],"how":[106],"changed":[108],"over":[109,213],"time":[110,122,214],"as":[111,143],"encountered":[114],"missing":[115,220],"data":[116,221],"changing":[118],"affect.":[120],"During":[121],"windows":[123],"when":[124,159,170,222],"features":[125,137,194],"were":[126],"extracted":[127],"with":[128],"high":[129],"confidence,":[130],"unimodal":[132,157],"model":[133,166,210],"on":[135,147,161],"achieved":[138],"same":[140,183],"optimal":[141],"multimodal":[144,154],"outperformed":[156],"evaluated":[160],"entire":[163],"dataset.":[164],"Additionally,":[165],"was":[168],"weakest":[169],"predicting":[171],"state":[174],"transition":[175],"improved":[177],"after":[178],"multiple":[179],"predictions":[180],"state.":[185],"These":[186],"findings":[187],"emphasize":[188],"benefits":[190],"incorporating":[192],"continuous":[196],"infants.":[200],"Our":[201],"work":[202],"highlights":[203],"importance":[205],"variability":[208],"presence":[218],"applying":[223]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
