{"id":"https://openalex.org/W2016885041","doi":"https://doi.org/10.1145/2787626.2787635","title":"Mouth gesture based emotion awareness and interaction in virtual reality","display_name":"Mouth gesture based emotion awareness and interaction in virtual reality","publication_year":2015,"publication_date":"2015-07-30","ids":{"openalex":"https://openalex.org/W2016885041","doi":"https://doi.org/10.1145/2787626.2787635","mag":"2016885041"},"language":"en","primary_location":{"id":"doi:10.1145/2787626.2787635","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2787626.2787635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2015 Posters","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/A5100399115","display_name":"Xing Zhang","orcid":"https://orcid.org/0000-0002-2414-0134"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xing Zhang","raw_affiliation_strings":["SUNY-Binghamton University","SUNY, Binghamton University"],"affiliations":[{"raw_affiliation_string":"SUNY-Binghamton University","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"SUNY, Binghamton University","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070812939","display_name":"Umur Aybars \u00c7ift\u00e7i","orcid":null},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Umur A Ciftci","raw_affiliation_strings":["SUNY-Binghamton University","SUNY, Binghamton University"],"affiliations":[{"raw_affiliation_string":"SUNY-Binghamton University","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"SUNY, Binghamton University","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100411653","display_name":"Lijun Yin","orcid":"https://orcid.org/0000-0002-0343-7190"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lijun Yin","raw_affiliation_strings":["SUNY-Binghamton University","SUNY, Binghamton University"],"affiliations":[{"raw_affiliation_string":"SUNY-Binghamton University","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"SUNY, Binghamton University","institution_ids":["https://openalex.org/I123946342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100399115"],"corresponding_institution_ids":["https://openalex.org/I123946342"],"apc_list":null,"apc_paid":null,"fwci":0.3234,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61720271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9894000291824341,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9894000291824341,"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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9789999723434448,"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":0.9560999870300293,"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/headset","display_name":"Headset","score":0.9087573885917664},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.7920876741409302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7455433011054993},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.7397339344024658},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.7152717113494873},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5798430442810059},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5152797698974609},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4921395182609558},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.45605844259262085},{"id":"https://openalex.org/keywords/user-experience-design","display_name":"User experience design","score":0.4136471450328827},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.37742412090301514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2219049334526062}],"concepts":[{"id":"https://openalex.org/C2780657452","wikidata":"https://www.wikidata.org/wiki/Q1193170","display_name":"Headset","level":2,"score":0.9087573885917664},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7920876741409302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7455433011054993},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.7397339344024658},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.7152717113494873},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5798430442810059},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5152797698974609},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4921395182609558},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.45605844259262085},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.4136471450328827},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.37742412090301514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2219049334526062},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2787626.2787635","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2787626.2787635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2015 Posters","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":2,"referenced_works":["https://openalex.org/W1980134726","https://openalex.org/W2079638262"],"related_works":["https://openalex.org/W2549567669","https://openalex.org/W2323345712","https://openalex.org/W104838418","https://openalex.org/W4294974825","https://openalex.org/W3173825713","https://openalex.org/W4224238571","https://openalex.org/W3027547044","https://openalex.org/W2562843170","https://openalex.org/W4302759797","https://openalex.org/W4206297952"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"Virtual":[3],"Reality":[4],"(VR)":[5],"has":[6],"become":[7,81],"a":[8],"new":[9],"media":[10,68],"to":[11,24,29,50,66,83,86,109,112,120],"provide":[12],"users":[13,117],"an":[14,98],"immersive":[15],"experience.":[16,74],"Events":[17],"happening":[18],"in":[19,129],"the":[20,42,51,59,67,72,76,87,135,144,149,153,161],"VR":[21,44,150],"connect":[22],"closer":[23],"our":[25,38],"emotions":[26],"as":[27,37],"compared":[28],"other":[30,77],"interfaces.":[31],"The":[32],"emotion":[33],"variations":[34],"are":[35,118],"reflected":[36],"facial":[39],"expressions.":[40],"However,":[41,104],"current":[43,136],"systems":[45,138],"concentrate":[46],"on":[47],"\"giving\"":[48],"information":[49,63],"user,":[52,60],"yet":[53],"ignore":[54],"\"receiving\"":[55],"emotional":[56],"status":[57],"from":[58,160],"while":[61],"this":[62],"definitely":[64],"contributes":[65],"content":[69],"rating":[70],"and":[71,92,116,132],"user":[73],"On":[75],"hand,":[78],"traditional":[79],"controllers":[80],"difficult":[82],"use":[84],"due":[85],"obscured":[88],"view":[89],"point.":[90],"Hand":[91],"head":[93],"gesture":[94],"based":[95],"control":[96,114],"is":[97,146,156],"option":[99],"[Cruz-Neira":[100],"et":[101],"al.":[102],"1993].":[103],"certain":[105],"sensor":[106],"devices":[107],"need":[108],"be":[110],"worn":[111],"assure":[113],"accuracy":[115],"easy":[119],"feel":[121],"tired.":[122],"Although":[123],"face":[124,145],"tracking":[125],"achieves":[126],"accurate":[127],"result":[128],"both":[130],"2D":[131],"3D":[133],"scenarios,":[134],"state-of-the-art":[137],"cannot":[139],"work":[140],"when":[141],"half":[142],"of":[143],"occluded":[147],"by":[148,158],"headset":[151],"because":[152],"shape":[154],"model":[155],"trained":[157],"data":[159],"whole":[162],"face.":[163]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
