Utilizing Technology and AI Approaches to Facilitate Independence and Resilience in Older Adults

基于人工智能的面部表情检测养老院AD/ADRD患者的情绪激动 分析 摘要 50%的养老院居民有中度或重度认知障碍。拥有先进技术的人 AD/ADRD通常不再能够进行口头交流。激动，这在80%的 患有AD/ADRD的居民可能会给居民、他们的家庭和专业人员带来重大问题 照顾者。无法成功管理AD/ADRD行为通常会导致负担加重 关于照顾者和使用抗精神病药物和其他精神药物，可能会有严重的 不良影响。新冠肺炎也增加了患有AD/ADRD的居民和 居民和照顾者的痛苦程度都增加了。 在这个项目中，我们将集成一个基于人工智能的面部表情分析软件和一个自主的 导航机器人，并验证了集成系统能够以先进的方式访问养老院居民 AD/ADRD并检测激动感。

Detecting Agitation in Persons with AD/ADRD in a Nursing Home Using AI-based Facial Expression Analysis ABSTRACT 50% of nursing home residents have moderate or severe cognitive impairment. Persons with advanced AD/ADRD are often no longer able to communicate verbally. Agitation, which is found in 80% of residents with AD/ADRD, can pose a major problem for the resident, their family and professional caregivers. The inability to successfully manage AD/ADRD behaviors, often results in increased burden on caregivers and use of antipsychotic and other psychotropic medications which may have severe adverse effects. COVID-19 has also increased agitation incidents among residents with AD/ADRD and increased distress levels in both residents and caregivers. In this project we will integrate an AI-based facial expression analysis software with an autonomous navigating robot and validate that the integrated system can visit nursing home residents with advanced AD/ADRD and detect agitation.