{"id":"https://openalex.org/W2907995245","doi":null,"title":"Automatic Eye-Gaze Following from 2-D Static Images: Application to Classroom Observation Video Analysis","display_name":"Automatic Eye-Gaze Following from 2-D Static Images: Application to Classroom Observation Video Analysis","publication_year":2018,"publication_date":"2018-04-23","ids":{"openalex":"https://openalex.org/W2907995245","mag":"2907995245"},"language":"en","primary_location":{"id":"pmh:oai:digitalcommons.wpi.edu:etd-theses-1250","doi":null,"is_oa":true,"landing_page_url":"https://digitalcommons.wpi.edu/etd-theses/251","pdf_url":"https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=1250&context=etd-theses","source":{"id":"https://openalex.org/S4377196141","display_name":"Digital WPI","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Masters Theses (All Theses, All Years)","raw_type":"text"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=1250&context=etd-theses","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056976439","display_name":"Arkar Min Aung","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Arkar Min Aung","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5056976439"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.86080002784729,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.86080002784729,"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":0.06620000302791595,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.026100000366568565,"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/gaze-estimation","display_name":"gaze estimation","score":0.7480000257492065},{"id":"https://openalex.org/keywords/gaze-following","display_name":"gaze following","score":0.9629999995231628},{"id":"https://openalex.org/keywords/face-detection","display_name":"face detection","score":0.4659999907016754},{"id":"https://openalex.org/keywords/still-images","display_name":"still images","score":0.5090000033378601},{"id":"https://openalex.org/keywords/neural-network-architecture","display_name":"neural network architecture","score":0.492000013589859}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.7255637645721436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5983513593673706},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.561565637588501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5600816011428833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5351598858833313},{"id":"https://openalex.org/C2777394604","wikidata":"https://www.wikidata.org/wiki/Q173318","display_name":"Pupil","level":2,"score":0.4234755039215088},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.40458694100379944},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.32802075147628784},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3258311450481415},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:digitalcommons.wpi.edu:etd-theses-1250","doi":null,"is_oa":true,"landing_page_url":"https://digitalcommons.wpi.edu/etd-theses/251","pdf_url":"https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=1250&context=etd-theses","source":{"id":"https://openalex.org/S4377196141","display_name":"Digital WPI","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Masters Theses (All Theses, All Years)","raw_type":"text"},{"id":"mag:2907995245","doi":null,"is_oa":false,"landing_page_url":"https://digitalcommons.wpi.edu/etd-theses/251/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:digitalcommons.wpi.edu:etd-theses-1250","doi":null,"is_oa":true,"landing_page_url":"https://digitalcommons.wpi.edu/etd-theses/251","pdf_url":"https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=1250&context=etd-theses","source":{"id":"https://openalex.org/S4377196141","display_name":"Digital WPI","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Masters Theses (All Theses, All Years)","raw_type":"text"},"sustainable_development_goals":[{"score":0.4156000018119812,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2907995245.pdf","grobid_xml":"https://content.openalex.org/works/W2907995245.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W56903235","https://openalex.org/W103971623","https://openalex.org/W166091568","https://openalex.org/W169539560","https://openalex.org/W657812159","https://openalex.org/W1510835000","https://openalex.org/W1542235487","https://openalex.org/W1599341914","https://openalex.org/W1614862348","https://openalex.org/W1686810756","https://openalex.org/W1896788142","https://openalex.org/W1899185266","https://openalex.org/W1965770722","https://openalex.org/W1971029019","https://openalex.org/W1987411016","https://openalex.org/W1989460402","https://openalex.org/W1992695642","https://openalex.org/W1994463521","https://openalex.org/W2035423930","https://openalex.org/W2038765747","https://openalex.org/W2040870580","https://openalex.org/W2041283295","https://openalex.org/W2075997786","https://openalex.org/W2077318835","https://openalex.org/W2077324971","https://openalex.org/W2090785766","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2112991204","https://openalex.org/W2117539524","https://openalex.org/W2127429655","https://openalex.org/W2134670479","https://openalex.org/W2134977817","https://openalex.org/W2141538250","https://openalex.org/W2143419558","https://openalex.org/W2151103935","https://openalex.org/W2160613239","https://openalex.org/W2161381512","https://openalex.org/W2161969291","https://openalex.org/W2164777277","https://openalex.org/W2165758113","https://openalex.org/W2184540135","https://openalex.org/W2194775991","https://openalex.org/W2212494831","https://openalex.org/W2294813873","https://openalex.org/W2342717020","https://openalex.org/W2407869609","https://openalex.org/W2468114283","https://openalex.org/W2776312359","https://openalex.org/W2807661964","https://openalex.org/W2964095005","https://openalex.org/W4394642372"],"related_works":["https://openalex.org/W6997330521","https://openalex.org/W4402917282","https://openalex.org/W2963556443","https://openalex.org/W2894479865","https://openalex.org/W2998351836","https://openalex.org/W7010797283","https://openalex.org/W2093822429","https://openalex.org/W3156573447","https://openalex.org/W7214590714","https://openalex.org/W2794517705"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,123],"develop":[4],"an":[5],"end-to-end":[6],"neural":[7,148],"network-based":[8],"computer":[9],"vision":[10],"system":[11],"to":[12,63,86,172],"automatically":[13],"identify":[14],"where":[15],"each":[16,103],"person":[17,95,104,165],"within":[18],"a":[19,23,108,164],"2-D":[20],"image":[21],"of":[22,45,48,141,163],"school":[24],"classroom":[25,49,120,132],"is":[26,35,73,84,96,105,118],"looking":[27,36,97,106],"(\u00e2\u20ac\u0153gaze":[28],"following\u00e2\u20ac\ufffd),":[29],"as":[30,32],"well":[31],"who":[33,93],"she/he":[34],"at.":[37],"Automatic":[38],"gaze":[39,125,128,153],"following":[40],"could":[41],"help":[42],"facilitate":[43],"data-mining":[44],"large":[46],"datasets":[47],"observation":[50,121],"videos":[51],"that":[52,145],"are":[53],"collected":[54],"routinely":[55],"in":[56,61,138],"schools":[57],"around":[58],"the":[59,76,94,113,146,152,157,161],"world":[60],"order":[62],"understand":[64],"social":[65],"interactions":[66],"between":[67],"teachers":[68,137],"and":[69,99,136],"students.":[70],"Our":[71],"network":[72,149],"based":[74],"on":[75,119],"architecture":[77],"by":[78],"Recasens,":[79],"et":[80],"al.":[81],"(2015)":[82],"but":[83,92],"extended":[85],"(1)":[87],"predict":[88,101],"not":[89],"only":[90],"where,":[91],"at;":[98],"(2)":[100],"whether":[102],"at":[107],"target":[109,154],"inside":[110],"or":[111,160],"outside":[112],"image.":[114],"Since":[115],"our":[116,142],"focus":[117],"videos,":[122],"collect":[124],"dataset":[126],"(48,907":[127],"annotations":[129],"over":[130],"2,263":[131],"images)":[133],"for":[134],"students":[135],"classrooms.":[139],"Results":[140],"experiments":[143],"indicate":[144],"proposed":[147],"can":[150],"estimate":[151],"-":[155,166],"either":[156],"spatial":[158],"location":[159],"face":[162],"with":[167],"substantially":[168],"higher":[169],"accuracy":[170],"compared":[171],"several":[173],"baselines.":[174]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-01-11T00:00:00"}