{"id":"https://openalex.org/W2739545236","doi":"https://doi.org/10.1109/icves.2017.7991917","title":"An eye state recognition algorithm based on feature level fusion","display_name":"An eye state recognition algorithm based on feature level fusion","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2739545236","doi":"https://doi.org/10.1109/icves.2017.7991917","mag":"2739545236"},"language":"en","primary_location":{"id":"doi:10.1109/icves.2017.7991917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2017.7991917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","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/A5055058704","display_name":"Ximing Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ximing Tong","raw_affiliation_strings":["Electronic and Information Engineering, South China Univesity of Technology, Guang Zhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic and Information Engineering, South China Univesity of Technology, Guang Zhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024813614","display_name":"Huabiao Qin","orcid":"https://orcid.org/0000-0002-8241-3639"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huabiao Qin","raw_affiliation_strings":["Electronic and Information Engineering, South China Univesity of Technology, Guang Zhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic and Information Engineering, South China Univesity of Technology, Guang Zhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016169949","display_name":"Linhai Zhuo","orcid":"https://orcid.org/0000-0002-5557-2896"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linhai Zhuo","raw_affiliation_strings":["Electronic and Information Engineering, South China Univesity of Technology, Guang Zhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic and Information Engineering, South China Univesity of Technology, Guang Zhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.648,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70120012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"151","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9977999925613403,"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":0.9977999925613403,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.963699996471405,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9593999981880188,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7673652172088623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7536798715591431},{"id":"https://openalex.org/keywords/zernike-polynomials","display_name":"Zernike polynomials","score":0.6533790230751038},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6318929195404053},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6267060041427612},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5564325451850891},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5406657457351685},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5319042205810547},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.46560484170913696},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4478321671485901},{"id":"https://openalex.org/keywords/eye-movement","display_name":"Eye movement","score":0.41039371490478516}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7673652172088623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7536798715591431},{"id":"https://openalex.org/C92423082","wikidata":"https://www.wikidata.org/wiki/Q132146","display_name":"Zernike polynomials","level":3,"score":0.6533790230751038},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6318929195404053},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6267060041427612},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5564325451850891},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5406657457351685},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5319042205810547},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.46560484170913696},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4478321671485901},{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.41039371490478516},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icves.2017.7991917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2017.7991917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","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":9,"referenced_works":["https://openalex.org/W1985441869","https://openalex.org/W2086936614","https://openalex.org/W2097290407","https://openalex.org/W2138584058","https://openalex.org/W2154039332","https://openalex.org/W2159498975","https://openalex.org/W2161969291","https://openalex.org/W2381607453","https://openalex.org/W2583387051"],"related_works":["https://openalex.org/W2547138831","https://openalex.org/W2061580049","https://openalex.org/W1997638723","https://openalex.org/W2067788074","https://openalex.org/W2183108721","https://openalex.org/W3160617640","https://openalex.org/W2073465494","https://openalex.org/W2081217624","https://openalex.org/W3141187597","https://openalex.org/W1989910702"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,40,53],"overcome":[3,41,54,92],"the":[4,42,55,63,68,87,93],"impact":[5,43,56],"of":[6,44,57,95,105],"complex":[7],"illumination":[8,58,99],"environment":[9],"and":[10,47,74,98,100],"head":[11,45,96],"movement,":[12],"a":[13,102],"novel":[14],"eye":[15,79,108],"state":[16,80,109],"recognition":[17],"algorithm":[18],"is":[19,25],"proposed":[20],"in":[21,72,77,107],"this":[22],"paper,":[23],"which":[24],"based":[26],"on":[27],"feature":[28,34,49,65,90],"level":[29],"fusion.":[30],"Firstly,":[31],"Pseudo":[32],"Zernike":[33],"was":[35],"found":[36],"can":[37,50,91],"be":[38,51],"used":[39,52,75],"movement":[46,97],"Gabor":[48],"changing.":[59],"Then":[60],"we":[61],"got":[62],"fusion":[64,89],"by":[66],"combining":[67],"two":[69],"normalized":[70],"features":[71],"series":[73],"it":[76],"SVM":[78],"classifier.":[81],"The":[82],"experimental":[83],"results":[84],"show":[85],"that":[86],"new":[88],"challenges":[94],"reach":[101],"high":[103],"accuracy":[104],"99.8%":[106],"recognition.":[110]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}