{"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\/fr\/2024\/03\/ai-smartphone-app-can-detect-depression-from-facial-cues\/","title":{"rendered":"Une application d'IA pour smartphone peut d\u00e9tecter la d\u00e9pression \u00e0 partir d'indices faciaux"},"content":{"rendered":"

Des chercheurs du Dartmouth College ont mis au point MoodCapture, une application pour smartphone qui utilise l'IA pour analyser les traits du visage afin de d\u00e9tecter pr\u00e9cocement la d\u00e9pression.<\/strong><\/p>\n

La stigmatisation associ\u00e9e \u00e0 la sant\u00e9 mentale<\/a> est l'une des principales raisons pour lesquelles les gens font bonne figure, m\u00eame lorsqu'ils se sentent d\u00e9prim\u00e9s. C'est \u00e9galement la raison pour laquelle nous nous effor\u00e7ons de sourire lorsque nous interagissons avec les gens ou lorsque nous prenons un selfie que nous pr\u00e9voyons de publier sur les m\u00e9dias sociaux.<\/p>\n

Lorsque nous baissons les yeux pour utiliser notre t\u00e9l\u00e9phone, nous n'avons g\u00e9n\u00e9ralement pas conscience qu'une cam\u00e9ra nous regarde en retour. MoodCapture utilise la cam\u00e9ra frontale d'un smartphone pour capturer r\u00e9guli\u00e8rement des expressions faciales authentiques et spontan\u00e9es lorsque l'utilisateur d\u00e9verrouille son t\u00e9l\u00e9phone. Il utilise ensuite un algorithme d'intelligence artificielle pour surveiller en permanence les signes pr\u00e9curseurs de la d\u00e9pression.<\/p>\n

Les chercheurs ont entra\u00een\u00e9 leur algorithme \u00e0 l'aide de 125 000 photos de 177 participants souffrant de troubles d\u00e9pressifs majeurs.<\/p>\n

Les photos ont \u00e9t\u00e9 prises pendant 90 jours, alors que les participants utilisaient une application sur leur t\u00e9l\u00e9phone pour r\u00e9pondre \u00e0 un bref questionnaire sur la sant\u00e9 des patients (PHQ-8) trois fois par jour.<\/p>\n

Lorsque le participant r\u00e9pondait \u00e0 la question \"Je me suis senti abattu, d\u00e9prim\u00e9 ou d\u00e9sesp\u00e9r\u00e9\", l'application capturait une image de son visage. Les patients ont consenti \u00e0 ce que leur photo soit prise, mais ils ne savaient pas exactement quand cela s'\u00e9tait produit.<\/p>\n

Outre les caract\u00e9ristiques du visage, le mod\u00e8le d'IA a \u00e9galement \u00e9t\u00e9 entra\u00een\u00e9 sur l'angle du t\u00e9l\u00e9phone, la couleur dominante, les conditions d'\u00e9clairage, l'emplacement de la photo et les \u00e9l\u00e9ments d'arri\u00e8re-plan pr\u00e9sents sur les photos.<\/p>\n

En utilisant l'apprentissage automatique et l'apprentissage profond, les chercheurs ont cr\u00e9\u00e9 un mod\u00e8le qui a appris quelles expressions faciales nuanc\u00e9es et quels \u00e9l\u00e9ments contextuels \u00e9taient en corr\u00e9lation avec la d\u00e9pression.<\/p>\n

\"\"
Le mod\u00e8le d'IA qui alimente MoodCapture a \u00e9t\u00e9 form\u00e9 \u00e0 l'aide de photos du visage de l'utilisateur et d'\u00e9l\u00e9ments de l'arri\u00e8re-plan, ainsi que de l'apprentissage automatique et de l'apprentissage profond pour d\u00e9terminer les niveaux de d\u00e9pression. Source : arXiv<\/a><\/figcaption><\/figure>\n

Le prototype de l'application MoodCapture peut d\u00e9tecter de mani\u00e8re fiable l'apparition d'une d\u00e9pression avant m\u00eame que l'utilisateur ne sache qu'il est \u00e0 risque.<\/p>\n

Des millions de personnes souffrent de d\u00e9pression dans le monde, les cas graves \u00e9tant \u00e0 l'origine de 800 000 suicides par an. La d\u00e9tection pr\u00e9coce de la d\u00e9pression pourrait permettre \u00e0 un plus grand nombre de personnes d'acc\u00e9der \u00e0 des soins appropri\u00e9s et opportuns.<\/p>\n

La fonctionnalit\u00e9 de l'application est impressionnante, mais les chercheurs notent en leur document<\/a> que les applications de suivi de la sant\u00e9 mentale telles que MoodCapture posent une s\u00e9rie de probl\u00e8mes \u00e9thiques \u00e9pineux.<\/p>\n

Si mon t\u00e9l\u00e9phone d\u00e9tecte que je me sens d\u00e9prim\u00e9, il pourrait \u00eatre int\u00e9ressant qu'un assistant IA me remonte le moral ou me recommande une option de soins de sant\u00e9. Je souhaiterais toutefois que ces informations restent confidentielles.<\/p>\n

La perspective d'\u00eatre la cible d'une publicit\u00e9 li\u00e9e \u00e0 l'humeur ou d'une surveillance de la sant\u00e9 mentale par les autorit\u00e9s de Big Brother n'est pas si \u00e9loign\u00e9e si les donn\u00e9es de l'utilisateur de l'application ont \u00e9t\u00e9 divulgu\u00e9es. Au fur et \u00e0 mesure que l'IA sur l'appareil devient plus r\u00e9alisable, ces questions de protection de la vie priv\u00e9e deviendront plus faciles \u00e0 g\u00e9rer.<\/p>\n

L'am\u00e9lioration des cam\u00e9ras et l'int\u00e9gration de l'IA pourraient bient\u00f4t permettre \u00e0 nos t\u00e9l\u00e9phones de savoir si nous passons une bonne journ\u00e9e ou non, m\u00eame si nos amis ne sont pas toujours en mesure de le dire.<\/p>","protected":false},"excerpt":{"rendered":"

Des chercheurs du Dartmouth College ont mis au point MoodCapture, une application pour smartphone qui utilise l'IA pour analyser les traits du visage afin de d\u00e9tecter la d\u00e9pression \u00e0 un stade pr\u00e9coce. La stigmatisation associ\u00e9e \u00e0 la sant\u00e9 mentale est l'une des principales raisons pour lesquelles les gens font bonne figure, m\u00eame lorsqu'ils se sentent d\u00e9prim\u00e9s. C'est \u00e9galement la raison pour laquelle nous nous effor\u00e7ons de sourire lorsque nous interagissons avec les gens ou lorsque nous prenons un selfie que nous pr\u00e9voyons de publier sur les m\u00e9dias sociaux. Lorsque nous regardons vers le bas pour utiliser notre t\u00e9l\u00e9phone, nous ne sommes g\u00e9n\u00e9ralement pas conscients de la pr\u00e9sence d'un appareil photo qui nous regarde. MoodCapture utilise la cam\u00e9ra frontale d'un smartphone pour capturer r\u00e9guli\u00e8rement des images.<\/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\/fr\/2024\/03\/ai-smartphone-app-can-detect-depression-from-facial-cues\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\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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