SHB: Medium: Collaborative Research: Crafting a Human-Centric Environment to Support Human Health Needs

SHB：媒介：合作研究：打造以人为本的环境来支持人类健康需求

• 批准号: 1064628
• 负责人: Diane Cook
• 金额: $ 70.36万
• 依托单位: Washington State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1064628&HistoricalAwards=false
• 关键词: SHB; Medium; Collaborative; Research; Crafting

Researchers and providers alike are recognizing that human-centric smart environments can provide health monitoring services and support aging in place through adaptive interventions. The need for the development of such technologies is underscored by the aging of the population, the cost of formal health care, and the importance that individuals place on remaining independent in their own homes. The goal of this project is to design, implement, and evaluate in-home techniques for generating reports of activities and social interactions that are useful for monitoring well being and for automating intervention strategies for persons with dementia. The plan is to design machine learning techniques that make effective use of sensor data to perform automated activity monitoring and prompting-based interventions that are beneficial for the residents as well as for their caregivers and family. The environment is human-centric because it learns information about its human residents and uses this information to provide activity-aware monitoring and intervention services. By transforming everyday environments into smart environments, many older adults with cognitive and physical impairment can lead independent lives in their own homes. A key component of this project is an evaluation of the technologies in actual homes with volunteer older adults and thus will assess the technologies for acceptance with the target population. This project addresses NSF?s Smart Health and Wellbeing goal of leveraging computational expertise leading to fundamental advances in the development of algorithms to create improvements in safe, effective, and patient-centered health and wellness services. The development of a Gerontechnology class is focused on training students to design and use these technologies. This effort includes REU and IGERT students in the research project, which involves students from underrepresented groups in this multidisciplinary, collaborative effort. To facility community-wide use, comparison and collaboration, all of our datasets, tools, and course materials will be disseminated from our project web page.

研究人员和提供者都认识到，以人为中心的智能环境可以通过自适应干预措施提供健康监测服务并支持衰老。人口老龄化，正式卫生保健成本以及个人对自己在自己的家中保持独立的重要性的强调，需要开发此类技术。该项目的目的是设计，实施和评估用于生成活动和社交互动报告的家庭技术，这些技术和社交互动有助于监测良好的生活和自动化痴呆症患者的干预策略。 该计划是设计机器学习技术，以有效利用传感器数据来执行自动化活动监控和促使基于促进的干预措施，这些干预措施对居民以及他们的护理人员和家人有益。环境以人为中心为中心，因为它学习了有关其人类居民的信息，并使用此信息来提供活动感知的监测和干预服务。通过将日常环境转变为智能环境，许多具有认知和身体障碍的老年人可以带领自己家中的独立生活。该项目的关键组成部分是评估与志愿老年人的实际家庭中的技术，因此将评估对目标人群接受的技术。该项目涉及NSF的智能健康和福祉目标，即利用计算专业知识，从而为开发算法发展的基本进步，以改善安全，有效和以患者为中心的健康和健康服务。老年技术课程的开发专注于培训学生设计和使用这些技术。这项工作包括研究项目中的REU和IGERT学生，该项目涉及来自代表性不足的团体的学生参加这一多学科，协作的努力。 为了在社区范围内使用，比较和协作，我们的所有数据集，工具和课程材料都将从我们的项目网页中传播。