痴呆的自动回忆疗法

Mariona Carós, M. Garolera, P. Radeva, Xavier Giró-i-Nieto
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引用次数: 24

摘要

随着人们的寿命比以往任何时候都长,阿尔茨海默病等痴呆症的病例数量也在稳步增加。它影响着全球超过4600万人,据估计,到2050年,将有超过1亿人受到影响。虽然对这些绝症没有有效的治疗方法,但推荐一些疗法,比如唤起对过去的记忆的回忆。目前,回忆疗法在疗养院进行,由治疗师或护理人员指导。在这项工作中,我们提出了一个基于人工智能的解决方案来自动化记忆治疗。这包括一个对话系统,它使用用户的照片作为输入,生成关于他们生活的问题。总的来说,这篇论文展示了如何通过使用深度学习实现记忆疗法的自动化,并将其部署到智能手机和笔记本电脑上,使每个患有痴呆症的人都能更容易地接受这种疗法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Reminiscence Therapy for Dementia
With people living longer than ever, the number of cases with dementia such as Alzheimer's disease increases steadily. It affects more than 46 million people worldwide, and it is estimated that in 2050 more than 100 million will be affected. While there are no effective treatments for these terminal diseases, therapies such as reminiscence, that stimulate memories from the past are recommended. Currently, reminiscence therapy takes place in care homes and is guided by a therapist or a carer. In this work, we present an AI-based solution to automate the reminiscence therapy. This consists of a dialogue system that uses photos of the users as input to generate questions about their life. Overall, this paper presents how reminiscence therapy can be automated by using deep learning, and deployed to smartphones and laptops, making the therapy more accessible to every person affected by dementia.
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