{"id":"https://openalex.org/W2977176005","doi":"https://doi.org/10.2352/issn.2470-1173.2019.3.sda-647","title":"Enhanced head-mounted eye tracking data analysis using super-resolution","display_name":"Enhanced head-mounted eye tracking data analysis using super-resolution","publication_year":2019,"publication_date":"2019-01-13","ids":{"openalex":"https://openalex.org/W2977176005","doi":"https://doi.org/10.2352/issn.2470-1173.2019.3.sda-647","mag":"2977176005"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2019.3.sda-647","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.3.sda-647","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5068681615","display_name":"Qianwen Wan","orcid":"https://orcid.org/0000-0001-5885-2618"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qianwen Wan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081155018","display_name":"Aleksandra Kaszowska","orcid":"https://orcid.org/0000-0003-2733-5954"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aleksandra Kaszowska","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069074343","display_name":"Karen Panetta","orcid":"https://orcid.org/0000-0001-9435-4536"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karen Panetta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074502941","display_name":"Holly A. Taylor","orcid":"https://orcid.org/0000-0001-6811-9356"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Holly A Taylor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5048285657","display_name":"Sos \u0421. Agaian","orcid":"https://orcid.org/0000-0003-4601-4507"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sos Agaian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12203544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":"3","first_page":"647","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":0.977400004863739,"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":0.977400004863739,"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/T12599","display_name":"Retinal and Optic Conditions","score":0.9248999953269958,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9241999983787537,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.8010305166244507},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7737605571746826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.754095196723938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7207930088043213},{"id":"https://openalex.org/keywords/headset","display_name":"Headset","score":0.6209830641746521},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5553537607192993},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.5542277693748474},{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.5268220901489258},{"id":"https://openalex.org/keywords/eye-movement","display_name":"Eye movement","score":0.4625048041343689},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.41961079835891724},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.2097967565059662},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1507464051246643},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.09207284450531006}],"concepts":[{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.8010305166244507},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7737605571746826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754095196723938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7207930088043213},{"id":"https://openalex.org/C2780657452","wikidata":"https://www.wikidata.org/wiki/Q1193170","display_name":"Headset","level":2,"score":0.6209830641746521},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5553537607192993},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.5542277693748474},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.5268220901489258},{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.4625048041343689},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.41961079835891724},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2097967565059662},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1507464051246643},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.09207284450531006},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2019.3.sda-647","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.3.sda-647","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4384434815","https://openalex.org/W4220921009","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"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,41,87],"novel":[4],"framework":[5,166],"for":[6],"enhancing":[7,128],"head-mounted":[8,94],"eye":[9,24,33,45,56,73,95,104,177],"tracking":[10,25,46,57,74,96,105,178],"data":[11],"analysis":[12],"by":[13,112,132],"utilizing":[14],"state-of-art":[15],"computer":[16],"vision":[17],"techniques.":[18],"Recently,":[19],"the":[20,81,125,129,145,151,164],"development":[21],"of":[22,54,83,150],"mobile":[23,55],"sensors":[26],"allowed":[27],"researchers":[28],"to":[29,59,102],"explore":[30],"more":[31],"comprehensive":[32],"movements":[34],"in":[35,79,124],"an":[36,171],"unobtrusive":[37],"environment.":[38],"It":[39],"opened":[40],"door":[42],"that":[43],"stationary":[44],"devices":[47],"could":[48],"never":[49],"approach.":[50],"Literature":[51],"demonstrates":[52],"applications":[53,162],"technology":[58],"fields":[60],"such":[61],"as":[62],"psychology,":[63],"education":[64],"and":[65,69,85,122,127,138,148,158],"learning,":[66],"usability,":[67],"marketing,":[68],"medical":[70],"diagnostics.":[71],"The":[72],"research":[75],"community":[76],"is":[77,89],"interested":[78],"analyzing":[80],"details":[82],"what":[84],"where":[86],"person":[88],"looking":[90],"at":[91,114],"using":[92,140,163,170],"large-scale":[93],"data.":[97],"We":[98],"formulated":[99],"this":[100],"problem":[101],"be":[103,110],"video":[106],"processing,":[107],"which":[108],"can":[109],"resolved":[111],"locating":[113],"region-of-interests":[115],"(ROI)":[116],"based":[117],"on":[118,169],"fixation":[119],"location,":[120],"cropping":[121],"zooming":[123],"ROI":[126],"partial":[130],"image":[131,134,141],"super-resolution":[133],"transformation.":[135],"Experimental":[136],"results":[137],"evaluation":[139],"quality":[142],"measurements":[143],"show":[144],"effectiveness,":[146],"efficiency,":[147],"robustness":[149],"proposed":[152,165],"prototype":[153],"system.":[154],"Furthermore,":[155],"we":[156],"discuss":[157],"demonstrate":[159],"potential":[160],"real-time":[161],"with":[167,176],"emphasis":[168],"Augmented":[172],"Reality":[173],"(AR)":[174],"headset":[175],"capabilities.":[179]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}