{"id":"https://openalex.org/W3000373873","doi":"https://doi.org/10.1109/ismar-adjunct.2019.000-2","title":"Learning Perceived Emotion Using Affective and Deep Features for Mental Health Applications","display_name":"Learning Perceived Emotion Using Affective and Deep Features for Mental Health Applications","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3000373873","doi":"https://doi.org/10.1109/ismar-adjunct.2019.000-2","mag":"3000373873"},"language":"en","primary_location":{"id":"doi:10.1109/ismar-adjunct.2019.000-2","doi":"https://doi.org/10.1109/ismar-adjunct.2019.000-2","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismar-adjunct.2019.000-2","pdf_url":null,"source":{"id":"https://openalex.org/S4363605406","display_name":"IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5005410534","display_name":"Tanmay Randhavane","orcid":"https://orcid.org/0000-0003-0509-706X","observed_orcids":["https://orcid.org/0000-0003-0509-706X"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanmay Randhavane","raw_affiliation_strings":["UNC Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNC Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042584669","display_name":"Uttaran Bhattacharya","orcid":"https://orcid.org/0000-0003-2141-9276","observed_orcids":["https://orcid.org/0000-0003-2141-9276"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Uttaran Bhattacharya","raw_affiliation_strings":["UMD College Park"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMD College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062298460","display_name":"Kyra Kapsaskis","orcid":"https://orcid.org/0000-0003-2063-6156","observed_orcids":["https://orcid.org/0000-0003-2063-6156"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyra Kapsaskis","raw_affiliation_strings":["UNC Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNC Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022353920","display_name":"Kurt J. Gray","orcid":"https://orcid.org/0000-0001-5816-2676","observed_orcids":["https://orcid.org/0000-0001-5816-2676"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kurt Gray","raw_affiliation_strings":["UNC Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNC Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058453308","display_name":"Aniket Bera","orcid":"https://orcid.org/0000-0002-0182-6985","observed_orcids":["https://orcid.org/0000-0002-0182-6985"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aniket Bera","raw_affiliation_strings":["UNC Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNC Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004194238","display_name":"Dinesh Manocha","orcid":"https://orcid.org/0000-0001-7047-9801","observed_orcids":["https://orcid.org/0000-0001-7047-9801"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinesh Manocha","raw_affiliation_strings":["UMD College Park"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMD College Park","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.571,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.73293482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"395","last_page":"399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9726999998092651,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9726999998092651,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.016300000250339508,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.0035000001080334187,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"emotion recognition","score":0.8539999723434448},{"id":"https://openalex.org/keywords/gait","display_name":"gait","score":0.7860000133514404},{"id":"https://openalex.org/keywords/affective-features","display_name":"affective features","score":0.8159999847412109},{"id":"https://openalex.org/keywords/deep-features","display_name":"deep features","score":0.6320000290870667},{"id":"https://openalex.org/keywords/lstm","display_name":"LSTM","score":0.5770000219345093},{"id":"https://openalex.org/keywords/mental-health","display_name":"mental health","score":0.4410000145435333},{"id":"https://openalex.org/keywords/virtual-agents","display_name":"virtual agents","score":0.8610000014305115},{"id":"https://openalex.org/keywords/emotional-intelligence","display_name":"emotional intelligence","score":0.7680000066757202},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"emotion classification","score":0.34299999475479126}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5192666053771973},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.509715735912323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5072240829467773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4965236783027649},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.46903666853904724},{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.45100274682044983},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44784560799598694},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.4387093484401703},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3941957354545593},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3585633933544159},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.2424810826778412},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.12557834386825562},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1168457567691803},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ismar-adjunct.2019.000-2","doi":"https://doi.org/10.1109/ismar-adjunct.2019.000-2","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismar-adjunct.2019.000-2","pdf_url":null,"source":{"id":"https://openalex.org/S4363605406","display_name":"IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6240000128746033}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W652662681","https://openalex.org/W1689711448","https://openalex.org/W1861492603","https://openalex.org/W1965306520","https://openalex.org/W1969850025","https://openalex.org/W1977841100","https://openalex.org/W1984867139","https://openalex.org/W1990120076","https://openalex.org/W2023397245","https://openalex.org/W2024221294","https://openalex.org/W2033000115","https://openalex.org/W2049077434","https://openalex.org/W2069002413","https://openalex.org/W2078951341","https://openalex.org/W2101032778","https://openalex.org/W2105496692","https://openalex.org/W2118526556","https://openalex.org/W2120146197","https://openalex.org/W2131123711","https://openalex.org/W2147449317","https://openalex.org/W2201722321","https://openalex.org/W2291663305","https://openalex.org/W2436394355","https://openalex.org/W2619612160","https://openalex.org/W2739353222","https://openalex.org/W2765268847","https://openalex.org/W2766952687","https://openalex.org/W2767793256","https://openalex.org/W2785722081","https://openalex.org/W2809890486","https://openalex.org/W2906728375","https://openalex.org/W2953623390","https://openalex.org/W2962849564","https://openalex.org/W4238142648","https://openalex.org/W6696405891","https://openalex.org/W6739490714"],"related_works":["https://openalex.org/W2953623390","https://openalex.org/W4304617161","https://openalex.org/W3090160436","https://openalex.org/W4200004702","https://openalex.org/W2653658371","https://openalex.org/W4363647860","https://openalex.org/W4309554295","https://openalex.org/W4213212365","https://openalex.org/W2287852499","https://openalex.org/W3046490462"],"abstract_inverted_index":{"Virtual":[0,14],"agents":[1,15],"are":[2,75],"being":[3],"increasingly":[4],"used":[5],"in":[6,109,207],"the":[7,21,37,73,93,110,127,132,137,160,169,173,186,209,241],"areas":[8],"of":[9,48,65,96,112,115,122,136,141,159,172,205,219,221],"healthcare,":[10],"treatments,":[11,60],"and":[12,31,59,177,189,227],"therapy.":[13],"with":[16,185,232],"emotional":[17,78,134],"intelligence":[18],"have":[19],"shown":[20],"potential":[22],"to":[23,26,70,91,130,155,237],"be":[24,68],"applicable":[25],"deliver":[27],"mental":[28,56],"health":[29,57],"intervention":[30],"facilitate":[32],"therapies":[33,58],"for":[34],"children":[35],"on":[36,99],"autism":[38],"spectrum.":[39],"To":[40,82],"build":[41],"an":[42,51,105,119,152,203],"emotionally":[43],"intelligent":[44],"agent,":[45],"automatic":[46],"recognition":[47],"emotions":[49,64,95],"is":[50],"essential":[52],"building":[53],"block.":[54],"For":[55],"detecting":[61],"rapidly":[62],"changing":[63],"individuals":[66,97],"can":[67],"useful":[69],"know":[71],"whether":[72],"patients":[74],"showing":[76],"appropriate":[77],"response":[79],"or":[80,147],"not.":[81],"this":[83,200,238],"end,":[84],"we":[85,150,167,213],"present":[86,214],"a":[87,113,193,215],"new":[88,216],"data-driven":[89],"approach":[90,201],"identify":[92],"perceived":[94,133,210,228],"based":[98],"their":[100,224],"walking":[101,107,222],"styles.":[102],"We":[103,125,180,197,235],"extract":[104,156],"individual's":[106],"gait":[108,128,161],"form":[111],"sequence":[114],"3D":[116],"poses":[117],"given":[118],"RGB":[120],"video":[121],"him/her":[123],"walking.":[124],"leverage":[126],"features":[129,158,171,184,188],"classify":[131,190],"state":[135],"individual":[138],"into":[139],"one":[140],"four":[142],"categories:":[143],"happy,":[144],"sad,":[145],"angry,":[146],"neutral.":[148],"First,":[149],"use":[151],"LSTM":[153],"network":[154],"deep":[157,187],"using":[162,175,192],"labeled":[163],"emotion":[164,229],"datasets.":[165],"Next,":[166],"compute":[168],"affective":[170,183],"gaits":[174],"posture":[176],"movement":[178],"cues.":[179],"combine":[181],"these":[182],"them":[191],"Random":[194],"Forest":[195],"Classifier.":[196],"observe":[198],"that":[199],"provides":[202],"accuracy":[204],"80:07%":[206],"identifying":[208],"emotions.":[211],"Additionally,":[212],"dataset":[217,239],"consisting":[218],"videos":[220],"individuals,":[223],"extracted":[225],"gaits,":[226],"labels":[230],"associated":[231],"each":[233],"gait.":[234],"refer":[236],"as":[240],"`EWalk":[242],"(Emotion":[243],"Walk)\u201d":[244],"dataset.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-01-23T00:00:00"}