{"id":"https://openalex.org/W2086099057","doi":"https://doi.org/10.1145/1599301.1599339","title":"Ray tracing to get 3D fixations on VOIs from portable eye tracker videos","display_name":"Ray tracing to get 3D fixations on VOIs from portable eye tracker videos","publication_year":2009,"publication_date":"2009-08-03","ids":{"openalex":"https://openalex.org/W2086099057","doi":"https://doi.org/10.1145/1599301.1599339","mag":"2086099057"},"language":"en","primary_location":{"id":"doi:10.1145/1599301.1599339","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1599301.1599339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH '09: 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/A5024623928","display_name":"Susan M. Munn","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Susan M. Munn","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY","Rochester institute of Technology, Rochester, NY"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester institute of Technology, Rochester, NY","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038705688","display_name":"Jeff B. Pelz","orcid":"https://orcid.org/0000-0002-0649-3876"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeff B. Pelz","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY","Rochester institute of Technology, Rochester, NY"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester institute of Technology, Rochester, NY","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024623928"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13608539,"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":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9997000098228455,"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":0.9997000098228455,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9940000176429749,"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/computer-vision","display_name":"Computer vision","score":0.8837016820907593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8317059278488159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7620457410812378},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.6866630911827087},{"id":"https://openalex.org/keywords/endocentric-and-exocentric","display_name":"Endocentric and exocentric","score":0.5295594334602356},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5230487585067749},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.47801673412323},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.47437983751296997},{"id":"https://openalex.org/keywords/eye-movement","display_name":"Eye movement","score":0.46943143010139465},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.43610697984695435},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.4251613914966583},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3917076885700226}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8837016820907593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8317059278488159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7620457410812378},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.6866630911827087},{"id":"https://openalex.org/C131042201","wikidata":"https://www.wikidata.org/wiki/Q493198","display_name":"Endocentric and exocentric","level":4,"score":0.5295594334602356},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5230487585067749},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.47801673412323},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.47437983751296997},{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.46943143010139465},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.43610697984695435},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.4251613914966583},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3917076885700226},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C153962237","wikidata":"https://www.wikidata.org/wiki/Q1401131","display_name":"Noun phrase","level":3,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1599301.1599339","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1599301.1599339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH '09: Posters","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1976595761","https://openalex.org/W1989479670","https://openalex.org/W2006428236","https://openalex.org/W2013636107","https://openalex.org/W2029423551","https://openalex.org/W2033819227"],"related_works":["https://openalex.org/W4384434815","https://openalex.org/W1701036363","https://openalex.org/W2958385752","https://openalex.org/W1561131412","https://openalex.org/W1981014703","https://openalex.org/W4206950173","https://openalex.org/W2186236678","https://openalex.org/W2113629050","https://openalex.org/W2978078285","https://openalex.org/W1975214622"],"abstract_inverted_index":{"Our":[0],"portable":[1],"video-based":[2],"monocular":[3],"eye":[4,19,31],"tracker":[5],"contains":[6],"a":[7,36],"headgear":[8],"with":[9,76],"two":[10],"cameras":[11],"that":[12,39],"capture":[13],"videos":[14,100],"of":[15,44,51,70],"the":[16,21,24,41,52,66,71,77,89,99,117,124],"observer's":[17,25,42,78],"right":[18],"and":[20,126],"scene":[22,53,72,125],"from":[23],"perspective":[26],"(Figure":[27,55],"1a).":[28],"With":[29],"this":[30],"tracker,":[32],"we":[33,110],"typically":[34],"obtain":[35],"position":[37],"--":[38,47],"represents":[40],"point":[43],"regard":[45],"(POR)":[46],"in":[48,65,93,123,127],"each":[49,106],"frame":[50],"video":[54],"1b":[56],"without":[57],"bottom":[58],"left":[59],"box).":[60],"These":[61],"POR":[62,82],"positions":[63,83],"are":[64,101,132],"image":[67],"coordinate":[68],"system":[69],"camera,":[73],"which":[74],"moves":[75],"head.":[79],"Therefore,":[80],"these":[81,130],"do":[84],"not":[85],"tell":[86],"us":[87],"where":[88],"person":[90],"is":[91],"looking":[92],"an":[94],"exocentric":[95],"reference":[96],"frame.":[97,107],"Currently,":[98],"analyzed":[102],"manually":[103],"by":[104],"examining":[105],"In":[108],"short,":[109],"aim":[111],"to":[112],"automatically":[113],"determine":[114],"how":[115],"long":[116],"observer":[118],"spends":[119],"fixating":[120],"specific":[121],"objects":[122,131],"what":[128],"order":[129],"fixated.":[133]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}