{"id":557,"date":"2016-07-17T19:23:08","date_gmt":"2016-07-17T22:23:08","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=557"},"modified":"2016-07-17T19:23:08","modified_gmt":"2016-07-17T22:23:08","slug":"vol9-no4-art3","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no4\/vol9-no4-art3\/","title":{"rendered":"An Intelligent Human-Machine Interface Based on Eye Tracking to Afford Written Communication of Locked-In Syndrome Patients"},"content":{"rendered":"

T\u00edtulo:<\/strong> An Intelligent Human-Machine Interface Based on Eye Tracking to Afford Written Communication of Locked-In Syndrome Patients<\/p>\n

Autores:<\/strong> Leonel, Amanda; Lima Neto, Fernando B. de; Oliveira, S\u00e9rgio Campello; Filho, Hugo Serrano B.<\/p>\n

Resumo:<\/strong> Patients with \u2018Locked-in Syndrome\u2019 (LIS) report rare and severe clinical cases as they become paralyzed and voiceless. Due to a brain damage, patients lose movements of their voluntary muscles and also,their ability to speak. In spite of that, their cognitive functions remain in perfect order. In general, the only voluntary movement that still remains is the motor control of the eyes and eyelids. This work presents a proof-of-concept,including an algorithm, based on an Intelligent Human-Computer Interface to enable written communication of paralytic patients. The proposed system uses techniques from Computer Vision and Artificial Intelligence in order to acquire and detect eye-eyelid movements affording written communications of LIS patients. The processed images result in low resolution patterns of the patients\u2019 eye-eyelid. Artificial Neural Networks are then trained in order to recognize such patterns and relate them to written symbols that are presented in a computer screen. The high rate of successand performance on the system, obtained in experiments demonstrate the feasibility of the proposed interface model.<\/p>\n

Palavras-chave:<\/strong> Human-Computer Interface; Paralysis; Locked-in Syndrome; Eye-tracking; Artificial Neural Networks<\/p>\n

P\u00e1ginas:<\/strong> 7<\/p>\n

C\u00f3digo DOI:<\/strong> 10.21528\/lmln-vol9-no4-art3<\/a><\/p>\n

Artigo em PDF:<\/strong> vol9-no4-art3.pdf<\/a><\/p>\n

Arquivo BibTex:<\/strong> vol9-no4-art3.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

T\u00edtulo: An Intelligent Human-Machine Interface Based on Eye Tracking to Afford Written Communication of Locked-In Syndrome Patients Autores: Leonel, Amanda; Lima Neto, Fernando B. de; Oliveira, S\u00e9rgio Campello; Filho, Hugo Serrano B. Resumo: Patients with \u2018Locked-in Syndrome\u2019 (LIS) report rare Read More …<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":551,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-557","page","type-page","status-publish","hentry"],"yoast_head":"\nAn Intelligent Human-Machine Interface Based on Eye Tracking to Afford Written Communication of Locked-In Syndrome Patients - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no4\/vol9-no4-art3\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"An Intelligent Human-Machine Interface Based on Eye Tracking to Afford Written Communication of Locked-In Syndrome Patients - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: An Intelligent Human-Machine Interface Based on Eye Tracking to Afford Written Communication of Locked-In Syndrome Patients Autores: Leonel, Amanda; Lima Neto, Fernando B. de; Oliveira, S\u00e9rgio Campello; Filho, Hugo Serrano B. Resumo: Patients with \u2018Locked-in Syndrome\u2019 (LIS) report rare Read More ...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no4\/vol9-no4-art3\/\" \/>\n<meta property=\"og:site_name\" content=\"Learning and NonLinear Models\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minuto\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no4\/vol9-no4-art3\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no4\/vol9-no4-art3\/\",\"name\":\"An Intelligent Human-Machine Interface Based on Eye Tracking to Afford Written Communication of Locked-In Syndrome Patients - Learning and NonLinear Models\",\"isPartOf\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\"},\"datePublished\":\"2016-07-17T22:23:08+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no4\/vol9-no4-art3\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no4\/vol9-no4-art3\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no4\/vol9-no4-art3\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Browse issues\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Learning & Nonlinear Models – L&NLM – Volume 9 – N\u00famero 4\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no4\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"An Intelligent Human-Machine Interface Based on Eye Tracking to Afford Written Communication of Locked-In Syndrome Patients\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/\",\"name\":\"Learning and NonLinear Models\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/sbia.org.br\/lnlm\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"pt-BR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#organization\",\"name\":\"Learning and NonLinear Models\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png\",\"contentUrl\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png\",\"width\":398,\"height\":94,\"caption\":\"Learning and NonLinear Models\"},\"image\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"An Intelligent Human-Machine Interface Based on Eye Tracking to Afford Written Communication of Locked-In Syndrome Patients - Learning and NonLinear Models","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no4\/vol9-no4-art3\/","og_locale":"pt_BR","og_type":"article","og_title":"An Intelligent Human-Machine Interface Based on Eye Tracking to Afford Written Communication of Locked-In Syndrome Patients - Learning and NonLinear Models","og_description":"T\u00edtulo: An Intelligent Human-Machine Interface Based on Eye Tracking to Afford Written Communication of Locked-In Syndrome Patients Autores: Leonel, Amanda; Lima Neto, Fernando B. de; Oliveira, S\u00e9rgio Campello; Filho, Hugo Serrano B. 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