{"id":"https://openalex.org/W2593167663","doi":"https://doi.org/10.1109/robio.2016.7866370","title":"Toward flexible calibration of head-mounted gaze trackers with parallax error compensation","display_name":"Toward flexible calibration of head-mounted gaze trackers with parallax error compensation","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2593167663","doi":"https://doi.org/10.1109/robio.2016.7866370","mag":"2593167663"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2016.7866370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2016.7866370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101913303","display_name":"Dan Su","orcid":"https://orcid.org/0000-0003-0072-0967"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dan Su","raw_affiliation_strings":["Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100642147","display_name":"Youfu Li","orcid":"https://orcid.org/0000-0002-5227-1326"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"You Fu Li","raw_affiliation_strings":["City University of Hong Kong, Shenzhen Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Shenzhen Research Institute","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I4210105229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":null,"first_page":"491","last_page":"496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":1.0,"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":1.0,"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.9541000127792358,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9506000280380249,"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/epipolar-geometry","display_name":"Epipolar geometry","score":0.8744945526123047},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8178368806838989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7560299634933472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7336656451225281},{"id":"https://openalex.org/keywords/parallax","display_name":"Parallax","score":0.6402809619903564},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6078800559043884},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.5785269737243652},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2521919310092926},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1466321349143982}],"concepts":[{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.8744945526123047},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8178368806838989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7560299634933472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7336656451225281},{"id":"https://openalex.org/C15759828","wikidata":"https://www.wikidata.org/wiki/Q165074","display_name":"Parallax","level":2,"score":0.6402809619903564},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6078800559043884},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.5785269737243652},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2521919310092926},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1466321349143982},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2016.7866370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2016.7866370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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":20,"referenced_works":["https://openalex.org/W1571870753","https://openalex.org/W1969600929","https://openalex.org/W1976280195","https://openalex.org/W1990266873","https://openalex.org/W1995055145","https://openalex.org/W2017617273","https://openalex.org/W2023287188","https://openalex.org/W2030484260","https://openalex.org/W2091507572","https://openalex.org/W2099768828","https://openalex.org/W2104849640","https://openalex.org/W2107956149","https://openalex.org/W2109088621","https://openalex.org/W2125518445","https://openalex.org/W2167020116","https://openalex.org/W2169561119","https://openalex.org/W2233667611","https://openalex.org/W4211049957","https://openalex.org/W6674989108","https://openalex.org/W6676453642"],"related_works":["https://openalex.org/W132764016","https://openalex.org/W2148054235","https://openalex.org/W2132043085","https://openalex.org/W4251504644","https://openalex.org/W2995498265","https://openalex.org/W2737258383","https://openalex.org/W2101703235","https://openalex.org/W1957820763","https://openalex.org/W2385108104","https://openalex.org/W2163153861"],"abstract_inverted_index":{"Although":[0],"the":[1,15,29,48,60,102,107,114,150,153,171,179,200,208,215,218,222,232,248],"mobile":[2],"head-mounted":[3],"gaze":[4,146,225],"tracker":[5],"(HMGT)":[6],"has":[7],"gained":[8],"its":[9],"great":[10],"success":[11],"in":[12,41],"human-machine":[13],"interactions,":[14],"real":[16,223],"implementation":[17],"of":[18,35,52,80,92,131,138,144,162,217,234,250],"HMGT":[19,185],"still":[20],"poses":[21,88,95],"several":[22,55],"significant":[23],"challenges.":[24],"The":[25,174,242],"parallax":[26,210],"error":[27],"and":[28,118,156,167,186,244],"tedious":[30],"calibration":[31,45,57,76,172,219,253],"procedure,":[32],"as":[33,231],"two":[34,129,235],"these":[36],"challenges,":[37],"will":[38],"be":[39,228],"addressed":[40],"our":[42,251],"proposed":[43,252],"two-step":[44],"method.":[46,254],"In":[47],"first":[49],"step,":[50],"instead":[51],"fixating":[53],"at":[54,74],"pre-defined":[56],"points":[58],"successively,":[59],"user":[61],"is":[62,195],"only":[63],"required":[64],"to":[65,101,134,163,197],"change":[66,86],"his":[67],"or":[68,89],"her":[69],"head":[70,87,94,104,132],"pose":[71],"while":[72],"gazing":[73],"one":[75],"marker":[77],"with":[78,141],"allowance":[79],"short-period":[81],"distractions.":[82],"Users":[83],"can":[84,227],"continuously":[85],"keep":[90],"each":[91],"their":[93],"for":[96,127,199],"1~2":[97],"seconds":[98],"before":[99],"changing":[100],"next":[103],"pose.":[105],"Then":[106,221],"traditional":[108],"Gaussian":[109],"process":[110],"(GP)":[111],"regression":[112,122],"considering":[113],"dominant":[115],"linear":[116],"trend":[117],"a":[119,191],"sparse":[120],"GP":[121],"using":[123],"pseudo-inputs":[124],"are":[125,159],"applied":[126],"above":[128],"kinds":[130],"motions":[133],"register":[135],"input":[136],"space":[137,143],"glint-pupil":[139],"vectors":[140],"output":[142],"image":[145,224],"points,":[147],"respectively.":[148],"Besides,":[149],"heat":[151],"map,":[152],"correlation":[154],"test":[155],"blob":[157],"analysis":[158],"made":[160],"use":[161],"detect":[164],"users'":[165],"distractions":[166],"eye":[168],"blinks":[169],"during":[170],"phase.":[173],"second":[175],"step":[176],"involves":[177],"recovering":[178],"epipolar":[180,236],"geometry":[181,201],"set":[182,203],"up":[183],"by":[184],"eyeballs.":[187],"To":[188],"this":[189],"end,":[190],"nonlinear":[192],"optimization":[193],"problem":[194],"formulated":[196],"search":[198],"parameter":[202],"which":[204],"could":[205],"well":[206],"explain":[207],"detected":[209],"errors":[211],"resulted":[212],"from":[213,239],"varying":[214],"depth":[216],"point.":[220],"point":[226],"straightforwardly":[229],"estimated":[230],"intersection":[233],"lines":[237],"calculated":[238],"binocular":[240],"data.":[241],"simulation":[243],"experimental":[245],"results":[246],"validate":[247],"effectiveness":[249]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}