AI Based Third Eye for Alzheimer Patient

S. Mahaboob Basha, S. Vaishali, B. Vinothini, S. Shalini
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Abstract

Visual impairment is one of the common symptoms of Alzheimer's Disease (ADAccording to recent research, visual interventions can help the patients to function better. As a result, a more detailed research study is required to analyze the visual abnormalities in Alzheimer's disease and also the possible mechanisms underlying these deficits. This research study intends to develop a camera-based detection system for Alzheimer's patients by utilizing face detection and sign languages to detect words on images or books in real time, and names of familiar people. Here, OCR (Optical Character Recognition) technique is used to convert images to text in order to read the text from books. When the visuals have been converted to text, the similar images will be recognized and further convert the text into visual indications. The anticipated output of Machine Learning is to translate the text into voice by utilizing the Text to Speech API.
基于AI的阿尔茨海默病患者的第三只眼
视觉障碍是阿尔茨海默病(ad)的常见症状之一,根据最近的研究,视觉干预可以帮助患者更好地发挥功能。因此,需要更详细的研究来分析阿尔茨海默病的视觉异常以及这些缺陷的可能机制。本研究旨在开发一种基于摄像头的阿尔茨海默病患者检测系统,利用人脸检测和手语来实时检测图像或书籍上的文字,以及熟悉的人的名字。这里,OCR(光学字符识别)技术用于将图像转换为文本,以便从书籍中读取文本。当视觉转换为文本后,将识别相似的图像,并进一步将文本转换为视觉指示。机器学习的预期输出是通过使用文本到语音API将文本翻译成语音。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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