{"id":"https://openalex.org/W2293006698","doi":"https://doi.org/10.1109/icce.2016.7430685","title":"Fast ellipse fitting based pupil tracking design for human-computer interaction applications","display_name":"Fast ellipse fitting based pupil tracking design for human-computer interaction applications","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2293006698","doi":"https://doi.org/10.1109/icce.2016.7430685","mag":"2293006698"},"language":"en","primary_location":{"id":"doi:10.1109/icce.2016.7430685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2016.7430685","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 Consumer Electronics (ICCE)","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/A5001821290","display_name":"Chun-Wen Cheng","orcid":"https://orcid.org/0000-0001-9891-2953"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chun-Wen Cheng","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Hsing University, Taiwan R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University, Taiwan R.O.C","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046734691","display_name":"Wei-Liang Ou","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Liang Ou","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Hsing University, Taiwan R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University, Taiwan R.O.C","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003025198","display_name":"Chih\u2010Peng Fan","orcid":"https://orcid.org/0000-0002-0585-975X"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Peng Fan","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Hsing University, Taiwan R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University, Taiwan R.O.C","institution_ids":["https://openalex.org/I162838928"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001821290"],"corresponding_institution_ids":["https://openalex.org/I162838928"],"apc_list":null,"apc_paid":null,"fwci":1.169,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84456341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"445","last_page":"446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9995999932289124,"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/T13579","display_name":"Image and Video Stabilization","score":0.995199978351593,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9922999739646912,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.9628783464431763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6619845032691956},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.6541768312454224},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6539562940597534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5968109369277954},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5481005311012268},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.518397867679596},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.5117628574371338},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4888288378715515},{"id":"https://openalex.org/keywords/pupil","display_name":"Pupil","score":0.4549999535083771},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24966585636138916},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22233039140701294},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.19661569595336914},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.16739043593406677},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14833524823188782}],"concepts":[{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.9628783464431763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6619845032691956},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.6541768312454224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6539562940597534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5968109369277954},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5481005311012268},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.518397867679596},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.5117628574371338},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4888288378715515},{"id":"https://openalex.org/C2777394604","wikidata":"https://www.wikidata.org/wiki/Q173318","display_name":"Pupil","level":2,"score":0.4549999535083771},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24966585636138916},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22233039140701294},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19661569595336914},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.16739043593406677},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14833524823188782},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce.2016.7430685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2016.7430685","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 Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2017617273","https://openalex.org/W2085261163","https://openalex.org/W2091507572"],"related_works":["https://openalex.org/W2110614960","https://openalex.org/W1984312628","https://openalex.org/W3169126738","https://openalex.org/W1994279415","https://openalex.org/W2558559991","https://openalex.org/W1986338341","https://openalex.org/W2545065926","https://openalex.org/W2980082320","https://openalex.org/W2036421992","https://openalex.org/W3093839383"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"fast":[3,27,93],"ellipse":[4,28,39,61,94],"fitting":[5,74,95],"based":[6,26,38,60,96],"pupil":[7,36,84],"tracking":[8,85],"design":[9,97],"is":[10,41,69],"studied":[11],"for":[12],"human-computer":[13],"interaction":[14],"applications.":[15],"The":[16],"proposed":[17,92],"scheme":[18],"uses":[19],"the":[20,31,34,45,54,57,64,73,79,87,91,109],"two-stage":[21],"Random":[22],"Sample":[23],"Consensus":[24],"(RANSAC)":[25],"fittings.":[29],"At":[30,53],"first":[32],"stage,":[33,56],"binaried":[35],"contour":[37],"model":[40,62],"applied":[42],"to":[43,71],"select":[44],"possible":[46],"candidate":[47,66],"points":[48,68],"on":[49],"Canny":[50,58],"filtered":[51],"edges.":[52],"second":[55],"edge":[59,67],"by":[63,112],"selected":[65],"calculated":[70],"increase":[72],"accuracy":[75],"further.":[76],"Under":[77],"keeping":[78],"similar":[80],"detection":[81],"rate":[82],"and":[83,103,117],"accuracy,":[86],"core":[88],"functions":[89],"of":[90,108],"speed":[98],"up":[99],"more":[100],"4":[101],"times":[102,105],"10":[104],"than":[106],"those":[107],"previous":[110],"work":[111],"software":[113],"implementations":[114],"with":[115],"4-core":[116],"1-core":[118],"CPU's":[119],"computers,":[120],"respectively.":[121]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}