{"id":"https://openalex.org/W2608655061","doi":"https://doi.org/10.1109/icpr.2016.7899947","title":"Look who is not talking: Assessing engagement levels in panel conversations","display_name":"Look who is not talking: Assessing engagement levels in panel conversations","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2608655061","doi":"https://doi.org/10.1109/icpr.2016.7899947","mag":"2608655061"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5033597391","display_name":"Melissa Cote","orcid":"https://orcid.org/0000-0002-5594-977X"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Melissa Cote","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046469771","display_name":"Amanda Dash","orcid":"https://orcid.org/0000-0001-8654-1593"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Amanda Dash","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036029722","display_name":"Alexandra Branzan Albu","orcid":"https://orcid.org/0000-0001-8991-0999"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alexandra Branzan Albu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada","institution_ids":["https://openalex.org/I212119943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.169,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6222683,"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":"2109","last_page":"2114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9980000257492065,"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/T11309","display_name":"Music and Audio Processing","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/automatic-summarization","display_name":"Automatic summarization","score":0.7333189249038696},{"id":"https://openalex.org/keywords/nonverbal-communication","display_name":"Nonverbal communication","score":0.7000051736831665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6907106637954712},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5376243591308594},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4989192485809326},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4908800721168518},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3781195282936096},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2300383746623993},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.15763399004936218}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7333189249038696},{"id":"https://openalex.org/C145633318","wikidata":"https://www.wikidata.org/wiki/Q207125","display_name":"Nonverbal communication","level":2,"score":0.7000051736831665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6907106637954712},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5376243591308594},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4989192485809326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4908800721168518},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3781195282936096},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2300383746623993},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.15763399004936218},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7899947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W77175747","https://openalex.org/W1997332539","https://openalex.org/W2009658355","https://openalex.org/W2035866593","https://openalex.org/W2041910615","https://openalex.org/W2069462093","https://openalex.org/W2107634464","https://openalex.org/W2109943925","https://openalex.org/W2120478181","https://openalex.org/W2129421456","https://openalex.org/W2153635508","https://openalex.org/W2155799716","https://openalex.org/W2164598857","https://openalex.org/W2168676811","https://openalex.org/W2171757151","https://openalex.org/W2247788395","https://openalex.org/W4211153864","https://openalex.org/W4239510810","https://openalex.org/W4248936881"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W2973759123","https://openalex.org/W1517524280"],"abstract_inverted_index":{"Nonverbal":[0],"cues":[1,60],"constitute":[2],"a":[3,108,114,154,200],"significant":[4],"part":[5],"of":[6,12,31,34,39,50,71,83,88,117,146,160,170,183],"human":[7,26,35,104],"communication.":[8],"Traditionally":[9],"the":[10,47,80,147,158,181,188],"object":[11],"psychology,":[13],"nonverbal":[14,99],"communication":[15],"studies":[16],"now":[17],"permeate":[18],"fields":[19],"such":[20,209],"as":[21,172,174,210],"social":[22,36],"signal":[23],"processing":[24],"and":[25,38,61,142,214],"computer":[27,201],"interaction.":[28],"The":[29],"ubiquity":[30],"digital":[32],"recordings":[33],"interactions":[37],"free":[40],"sharing":[41],"platforms":[42],"offers":[43],"many":[44],"opportunities":[45],"for":[46,195],"automated":[48],"analysis":[49],"group":[51],"interaction":[52],"dynamics;":[53],"yet,":[54],"most":[55],"research":[56],"relies":[57],"on":[58,79,97,113,153],"multimodal":[59],"strict":[62],"setups,":[63],"which":[64,204],"are":[65,128],"incompatible":[66],"with":[67,107,166],"this":[68,75,126,186],"vast":[69],"pool":[70],"video":[72,212,215],"data.":[73],"In":[74],"paper,":[76],"we":[77],"focus":[78],"automatic":[81],"identification":[82],"non-talking":[84,137,193],"participants":[85,138,194],"in":[86,92,139],"videos":[87],"panel":[89],"conversations":[90],"acquired":[91],"uncontrolled":[93],"environments,":[94],"based":[95,112],"solely":[96],"visual":[98],"cues.":[100],"Our":[101],"approach":[102,162],"characterizes":[103],"body":[105],"motion":[106],"novel":[109],"feature":[110],"descriptor":[111,127],"non-linear":[115],"model":[116],"pixel":[118],"change":[119],"history;":[120],"motor":[121],"behavioral":[122],"patterns":[123],"derived":[124],"from":[125,199],"then":[129],"utilized":[130],"via":[131],"supervised":[132],"machine":[133],"learning":[134],"to":[135,163,177],"identify":[136],"each":[140],"frame":[141],"provide":[143],"an":[144,167],"assessment":[145],"participants'":[148],"engagement":[149,196],"levels.":[150],"Performance":[151],"evaluation":[152],"challenging":[155],"dataset":[156],"demonstrated":[157],"effectiveness":[159],"our":[161,184],"detect":[164],"non-speakers,":[165],"overall":[168],"F-score":[169],"86.2%,":[171],"well":[173],"its":[175],"robustness":[176],"varied":[178],"settings.":[179],"To":[180],"best":[182],"knowledge,":[185],"is":[187],"first":[189],"attempt":[190],"at":[191],"identifying":[192],"level":[197],"assessments":[198],"vision":[202],"viewpoint,":[203],"has":[205],"several":[206],"relevant":[207],"applications,":[208],"content-based":[211],"retrieval":[213],"summarization.":[216]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}