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A Study of Conversation Support System Between the Elderly Person and Young Adults by Using Facial Expression Analysis

机译:基于面部表情分析的老年人与年轻人对话支持系统研究

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Japanese society is recently facing a problem of a super-aging population. The proportion of aged people is growing. The number of families with old couples and old singles is increasing. In some case s/he passes a day without speaking a word, and that causes a disuse of cognitive functions and a risk for dementia and/or depression. In the future, it is expected that young adults in the region will be involved with the elderly actively as a conversational partner. They focused on reminiscence technique which is effective to control dementia in order to reduce the mental burden of the partner young adult. We have already examined the difference of the mental burden and the quality of communication between the elderly and young adults when they use any photographs as content for communication support. As a result, depending on the category of the photo as a content for conversation support we are sure that there is tension in conversation. So, we went to build a conversation support system for the elderly and young adults to provide content according to the circumstances of the conversation to allow the conversation to go smoothly without feeling a sense of tension and discomfort. In previous studies, the frustration and discomfort was determined by using wearable devices (such as for heart or brain wave). However, in order to construct a system, it is necessary to use a non-contact device that can easily measure the frustration and discomfort. We measure the dissatisfaction, discomfort during a conversation using the expression analysis sensor. Therefore, in this study, it is an object of comparison and evaluation of the data obtained by measuring the dissatisfaction, discomfort in wearable devices (heart-EEG) and non-contact devices (expression analysis).
机译:日本社会最近面临人口老龄化的问题。老年人的比例正在增加。有老夫妻和老单身的家庭数量正在增加。在某些情况下,他/她一天都不说话,会导致认知功能丧失,并有患痴呆症和/或抑郁症的风险。将来,预计该地区的年轻人将以对话伙伴的身份积极参与老年人的活动。他们专注于回忆技术,该技术可有效控制痴呆症,以减轻伴侣年轻成年人的精神负担。我们已经研究了老年人和年轻人使用任何照片作为交流支持内容时的精神负担和交流质量的差异。因此,根据照片的类别作为对话支持的内容,我们可以确保对话中存在紧张感。因此,我们建立了一个针对老年人和年轻人的会话支持系统,以根据会话的情况提供内容,从而使会话顺利进行而不会感到紧张和不适。在以前的研究中,使用可穿戴设备(例如用于心电波或脑电波)来确定沮丧和不适。然而,为了构造系统,必须使用能够容易地测量挫折感和不适感的非接触装置。我们使用表情分析传感器来衡量谈话过程中的不满,不适。因此,在本研究中,其目的是比较和评估通过测量可穿戴设备(心脏EEG)和非接触设备(表达分析)的不满,不适而获得的数据。

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