PFI: TT: An Intelligent Homecare System to Assist Older Adults Who Age in Place

这一创新技术转化伙伴关系(PFI-TT)项目的更广泛影响/商业潜力是，拟议的智能家庭护理系统(IHS)将使居家的老年人在自己的家中保持安全和健康，从而使美国不断增长的老年人口受益。如果PFI项目成功，预计IHS将提供以下职能。首先，通过监测老年人在日常生活活动(ADL)、身体和主观幸福感以及紧急情况方面的幸福感，IHS将促进老年人的健康、安全和独立。其次，通过更好地将老年人与他们的照顾者联系起来，更好地管理他们的日常生活，IHS将帮助家庭成员安心并降低医疗成本。第三，有了更好的家庭医疗保健工具，正式的照顾者可以提高生产率，降低运营成本，增加收入。这项研究还将改善俄克拉荷马州立大学在人工智能(AI)、机器人学、嵌入式计算和机器学习等学科以及老年学和创业学等非STEM学科的教育环境。这个拟议的项目旨在开发IHS的原型，并为其商业化做准备。这项研究解决了将IHS部署到现实世界应用中的挑战。主要的研究任务是：1)设计IHS的原型和可穿戴设备；2)开发协作和多模式活动识别算法；3)开发IHS的福祉监测、干预和交流功能；4)开发IHS的能力，以克服与高龄相关的心理社会障碍。拟议工作的新颖性包括：1)IHS利用其传感能力和本地人工智能来了解老年人的日常活动，这为健康监测、干预和与照顾者沟通提供了基础。2)IHS通过异常检测和临床访谈评估老年人的身体和主观幸福感。3)IHS主动接触高危老年人，通过健康指导和日常生活管理提供及时的干预。4)IHS提供人工智能辅助的智能消息传递和远程健康，将老年人与照顾者联系起来，从而促进老年人的社会情感福祉。5)IHS通过开发适合年龄的人机界面(HMI)、学习和适应以及隐私保护技术来克服心理社会障碍。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project is that the proposed Intelligent Homecare System (IHS) will allow home-bound older adults to remain safe and healthy within their own homes, therefore benefiting the growing elderly population in the United States. If the PFI project is successful, the IHS is expected to offer the following functions. First, by monitoring older adults’ well-being in terms of activities of daily living (ADLs), physical and subjective well-being, and emergency situations, the IHS will promote older adults' health, safety and independence. Second, by better connecting older adults with their caregivers and better managing their daily life, the IHS will help bring peace of mind and reduce the cost of healthcare to family members. Third, with a better tool for home healthcare, formal caregivers can enjoy improved productivity, reduced cost of operation and increased revenue. This research will also improve the educational environment at Oklahoma State University in disciplines such as artificial intelligence (AI), robotics, embedded computing, and machine learning, as well as in non-STEM disciplines such as gerontology and entrepreneurship. This proposed project aims to develop a prototype of the IHS and prepare it for commercialization. The research addresses the challenges in deploying the IHS for real world applications. The major research tasks are: 1) designing a prototype of IHS and a wearable device; 2) developing a collaborative and multimodal activity recognition algorithm; 3) developing the IHS functions for well-being monitoring, intervention, and communication; 4) developing the IHS capabilities to overcome the psychosocial barriers associated with advanced ages. The novelties of the proposed work include: 1) The IHS leverages its sensing capability and local AI to understand the daily activities of older adults, which provides the basis for health monitoring, intervention, and communication with caregivers. 2) The IHS assesses the physical and subjective well-being of older adults through anomaly detection and clinical interview. 3) The IHS proactively engages the at-risk older adults to deliver timely interventions through health coaching and daily life management. 4) The IHS offers AI-assisted intelligent messaging and telehealth to connect the older adults with caregivers, therefore promoting the socioemotional well-being of older adults. 5) The IHS overcomes the psychosocial barriers by developing technologies for age-friendly human machine interface (HMI), learning and adaptation, and privacy protection.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.