{"id":"https://openalex.org/W2002894654","doi":"https://doi.org/10.1145/1125451.1125655","title":"Full-time wearable headphone-type gaze detector","display_name":"Full-time wearable headphone-type gaze detector","publication_year":2006,"publication_date":"2006-04-21","ids":{"openalex":"https://openalex.org/W2002894654","doi":"https://doi.org/10.1145/1125451.1125655","mag":"2002894654"},"language":"en","primary_location":{"id":"doi:10.1145/1125451.1125655","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1125451.1125655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CHI '06 Extended Abstracts on Human Factors in Computing Systems","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/A5039768881","display_name":"Hiroyuki Manabe","orcid":"https://orcid.org/0000-0002-3613-0216"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Manabe","raw_affiliation_strings":["NTT DoCoMo, Inc., Yokosuka, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT DoCoMo, Inc., Yokosuka, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015480821","display_name":"Masaaki Fukumoto","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaaki Fukumoto","raw_affiliation_strings":["NTT DoCoMo, Inc., Yokosuka, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT DoCoMo, Inc., Yokosuka, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":1.7415,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.8224211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1073","last_page":"1078"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9998999834060669,"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":0.9998999834060669,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10789","display_name":"Interactive and Immersive Displays","score":0.9668999910354614,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.7674729824066162},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.700586199760437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6562119722366333},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5998184680938721},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5945116877555847},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5797536373138428},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5548134446144104},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4620141088962555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4197118282318115},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3582291901111603},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32264769077301025},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13681796193122864},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06416651606559753}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.7674729824066162},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.700586199760437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6562119722366333},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5998184680938721},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5945116877555847},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5797536373138428},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5548134446144104},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4620141088962555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4197118282318115},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3582291901111603},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32264769077301025},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13681796193122864},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06416651606559753},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1125451.1125655","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1125451.1125655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CHI '06 Extended Abstracts on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1967828772","https://openalex.org/W2005375673","https://openalex.org/W2046496967","https://openalex.org/W2047201262","https://openalex.org/W2096562421","https://openalex.org/W3140457520"],"related_works":["https://openalex.org/W1880689012","https://openalex.org/W3014378845","https://openalex.org/W4240909707","https://openalex.org/W2059546927","https://openalex.org/W3207760378","https://openalex.org/W4386072035","https://openalex.org/W2562758970","https://openalex.org/W1986970529","https://openalex.org/W1563178652","https://openalex.org/W2947492009"],"abstract_inverted_index":{"A":[0],"headphone-type":[1],"gaze":[2,32,85],"detector":[3],"for":[4],"a":[5,13,70],"full-time":[6],"wearable":[7],"interface":[8],"is":[9,41,51,63,78],"proposed.":[10],"It":[11],"uses":[12],"Kalman":[14],"filter":[15],"to":[16,30,53],"analyze":[17],"multiple":[18],"channels":[19],"of":[20,27,82],"EOG":[21],"signals":[22],"measured":[23],"at":[24],"the":[25,37,49,54],"locations":[26],"headphone":[28,84],"cushions":[29],"estimate":[31],"direction.":[33],"Evaluations":[34],"show":[35],"that":[36,48],"average":[38],"estimation":[39],"error":[40],"4.4\u00ae":[42],"(horizontal)":[43],"and":[44,47],"8.3\u00ae":[45],"(vertical),":[46],"drift":[50],"suppressed":[52],"same":[55],"level":[56],"as":[57],"in":[58],"ordinary":[59],"EOG.":[60],"The":[61],"method":[62],"especially":[64],"robust":[65],"against":[66],"signal":[67],"anomalies.":[68],"Selecting":[69],"real":[71],"object":[72],"from":[73],"among":[74],"many":[75],"surrounding":[76],"ones":[77],"one":[79],"possible":[80],"application":[81],"this":[83],"detector.":[86]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":6},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}