{"id":10460,"date":"2024-03-04T10:15:23","date_gmt":"2024-03-04T10:15:23","guid":{"rendered":"https:\/\/dailyai.com\/?p=10460"},"modified":"2024-03-04T10:15:23","modified_gmt":"2024-03-04T10:15:23","slug":"ai-smartphone-app-can-detect-depression-from-facial-cues","status":"publish","type":"post","link":"https:\/\/dailyai.com\/pt\/2024\/03\/ai-smartphone-app-can-detect-depression-from-facial-cues\/","title":{"rendered":"Aplica\u00e7\u00e3o de IA para smartphone consegue detetar a depress\u00e3o a partir de sinais faciais"},"content":{"rendered":"

Os investigadores do Dartmouth College desenvolveram a MoodCapture, uma aplica\u00e7\u00e3o para smartphone que utiliza a IA para analisar as caracter\u00edsticas faciais com vista \u00e0 dete\u00e7\u00e3o precoce da depress\u00e3o.<\/strong><\/p>\n

O estigma associado \u00e0 sa\u00fade mental<\/a> \u00e9 uma das principais raz\u00f5es pelas quais as pessoas se mostram corajosas, mesmo quando se sentem em baixo. \u00c9 tamb\u00e9m por isso que fazemos um esfor\u00e7o maior para sorrir quando interagimos com as pessoas ou tiramos uma selfie que planeamos publicar nas redes sociais.<\/p>\n

Quando olhamos para baixo para utilizar os nossos telem\u00f3veis, na maior parte das vezes n\u00e3o nos apercebemos de que h\u00e1 uma c\u00e2mara a olhar para tr\u00e1s. O MoodCapture utiliza a c\u00e2mara frontal de um smartphone para captar regularmente express\u00f5es faciais aut\u00eanticas e sem disfarces quando um utilizador desbloqueia o telem\u00f3vel. Em seguida, utiliza um algoritmo de IA para monitorizar continuamente os primeiros sinais de depress\u00e3o.<\/p>\n

Os investigadores treinaram o seu algoritmo utilizando 125.000 fotografias de 177 participantes diagnosticados com perturba\u00e7\u00e3o depressiva grave.<\/p>\n

As fotografias foram captadas ao longo de 90 dias, enquanto os participantes utilizavam uma aplica\u00e7\u00e3o nos seus telem\u00f3veis para responder a um breve Question\u00e1rio de Sa\u00fade do Doente (PHQ-8) tr\u00eas vezes por dia.<\/p>\n

Quando o participante respondia ao item \"J\u00e1 me senti em baixo, deprimido ou sem esperan\u00e7a\", a aplica\u00e7\u00e3o captava uma imagem do rosto da pessoa. Os doentes consentiram que lhes fosse tirada uma fotografia, mas n\u00e3o sabiam exatamente quando isso tinha acontecido.<\/p>\n

Para al\u00e9m das caracter\u00edsticas faciais, o modelo de IA tamb\u00e9m foi treinado com base no \u00e2ngulo do telefone, na cor dominante, nas condi\u00e7\u00f5es de ilumina\u00e7\u00e3o, na localiza\u00e7\u00e3o da fotografia e nos elementos de fundo presentes nas fotografias.<\/p>\n

Utilizando a aprendizagem autom\u00e1tica e a aprendizagem profunda, os investigadores criaram um modelo que aprendeu quais as express\u00f5es faciais com nuances e os elementos contextuais de fundo que se correlacionavam com a depress\u00e3o.<\/p>\n

\"\"
O modelo de IA que alimenta o MoodCapture foi treinado utilizando fotografias do rosto do utilizador e elementos de fundo, juntamente com a aprendizagem autom\u00e1tica e a aprendizagem profunda para determinar os n\u00edveis de depress\u00e3o. Fonte: arXiv<\/a><\/figcaption><\/figure>\n

O prot\u00f3tipo da aplica\u00e7\u00e3o MoodCapture consegue detetar de forma fi\u00e1vel o in\u00edcio da depress\u00e3o, mesmo antes de o utilizador saber que est\u00e1 em risco.<\/p>\n

Milh\u00f5es de pessoas sofrem de depress\u00e3o em todo o mundo, sendo os casos graves respons\u00e1veis por 800 000 suic\u00eddios por ano. A dete\u00e7\u00e3o precoce da depress\u00e3o pode levar a que mais pessoas tenham acesso a cuidados adequados e atempados.<\/p>\n

A funcionalidade da aplica\u00e7\u00e3o \u00e9 impressionante, mas os investigadores observam em o seu trabalho<\/a> que as aplica\u00e7\u00f5es de monitoriza\u00e7\u00e3o da sa\u00fade mental, como o MoodCapture, t\u00eam uma s\u00e9rie de quest\u00f5es \u00e9ticas complicadas.<\/p>\n

Se o meu telem\u00f3vel detectasse que me estou a sentir em baixo, seria bom que um assistente de IA me desse um incentivo ou recomendasse uma op\u00e7\u00e3o de cuidados de sa\u00fade. Mas eu gostaria de manter essa informa\u00e7\u00e3o privada.<\/p>\n

A perspetiva de ser alvo de publicidade relacionada com o humor ou de monitoriza\u00e7\u00e3o da sa\u00fade mental pelo Big Brother por parte das autoridades n\u00e3o \u00e9 assim t\u00e3o rebuscada se os dados do utilizador da aplica\u00e7\u00e3o forem expostos. \u00c0 medida que a IA no dispositivo se torna mais vi\u00e1vel, estas quest\u00f5es de privacidade tornar-se-\u00e3o mais f\u00e1ceis de gerir.<\/p>\n

As c\u00e2maras melhoradas e a IA integrada poder\u00e3o em breve permitir que os nossos telem\u00f3veis saibam se estamos a ter um bom dia ou n\u00e3o, mesmo que os nossos amigos nem sempre consigam perceber.<\/p>","protected":false},"excerpt":{"rendered":"

Investigadores do Dartmouth College desenvolveram a MoodCapture, uma aplica\u00e7\u00e3o para smartphone que utiliza a IA para analisar as caracter\u00edsticas faciais e detetar precocemente a depress\u00e3o. O estigma associado \u00e0 sa\u00fade mental \u00e9 uma das principais raz\u00f5es pelas quais as pessoas se mostram corajosas, mesmo quando se sentem em baixo. \u00c9 tamb\u00e9m por isso que fazemos um esfor\u00e7o maior para sorrir quando interagimos com as pessoas ou tiramos uma selfie que planeamos publicar nas redes sociais. Quando olhamos para baixo para utilizar os nossos telem\u00f3veis, na maioria das vezes n\u00e3o nos apercebemos de que h\u00e1 uma c\u00e2mara a olhar para n\u00f3s. O MoodCapture utiliza a c\u00e2mara frontal de um smartphone para captar regularmente<\/p>","protected":false},"author":6,"featured_media":10488,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[150,166,101],"class_list":["post-10460","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-benefits","tag-computer-vision","tag-medtech"],"yoast_head":"\nAI smartphone app can detect depression from facial cues | DailyAI<\/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:\/\/dailyai.com\/pt\/2024\/03\/ai-smartphone-app-can-detect-depression-from-facial-cues\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI smartphone app can detect depression from facial cues | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers from Dartmouth College developed MoodCapture, a smartphone app that uses AI to analyze facial features for early detection of depression. 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