ITR - (EVS) - (int+soc+dmc): Technology Interventions for Elders with Mobility and Cognitive Impairments

美国人的寿命更长，生活更充实，他们希望尽可能地独立生活。但是独立的生活方式也有风险。为了解决这些问题，研究人员正在开发“智能家居”技术，以帮助老年人在控制成本的同时保持家中的独立。智能家居提高了居民的安全，并使用传感器和其他设备监测健康状况。这种技术可以帮助老年人在控制费用的同时保持独立。pi提出了一个老年人衰退的模型，其中行动能力和认知障碍导致功能衰退，从而降低了独立性。适当的干预，如果提供及时，可以提高功能能力。关键是早期识别表明损伤的变化条件。在这个项目中，pi将在两所大学内不同学院的教师、学生和研究人员之间建立伙伴关系，以开发和评估老年人干预技术。他们将利用哥伦比亚一家名为TigerPlace的独特老年护理机构，研究针对行动能力和认知障碍的技术。项目目标包括：发展一个综合监测系统，以无创的方式可靠地获取有关老年居民及其环境的数据，并平衡健康安全和隐私的需要；在典型的独立生活、老年人环境中收集数据，使用综合监测系统；开发从收集的传感器数据中提取活动模式的算法；以及评估技术的可用性和调查老年人人机交互的基本问题。为了达到这些目的，一个由参与者之一开发的监测系统将被扩展，该系统包含步态、生理和环境传感器。将开发一个事件驱动的视频传感器网络，以生成“匿名”视频流，隐藏居民的识别特征，传感器和视频数据将被融合和处理，以识别行为活动模式。基本的人机交互（HCI）问题，有关老年人也将进行调查。将进行审议性评价和可用性研究。更广泛的影响：该项目将对我们的社会产生广泛的影响，通过为老年护理技术提供一个模型，并为政策制定者提供成本效益和结果等复杂问题的答案，以帮助指导老年人服务的决策，例如由医疗保险和医疗补助资助的服务（据估计，2000年美国人口中有12.4%超过65岁，预计到2030年这一比例将增长到20%）。从技术角度来看，该研究将推动老年人HCI，匿名和压缩视频，从视频数据中提取人类运动和行为，从感官事件中提取人类活动，以及融合传感器和视频数据以识别行为模式等方面的最新技术。此外，该项目将培训研究生和本科生，并帮助建立进行未来研究项目的基础设施；密苏里州杰斐逊城林肯大学的教职员工和管理人员将协助pi招募传统上代表性不足的护理和CIS学生参加多学科团队和暑期实习。

Americans are living longer and more fulfilled lives, and they desire to live as independently as possible. But independent lifestyles come with risks. To address these issues, researchers are developing "smart home" technologies to help older adults remain independent at home while controlling costs. Smart homes enhance residents' safety and monitor health conditions using sensors and other devices. Such technology can help keep older adults independent while controlling costs. The PIs have proposed a model of decline in older adults in which mobility and cognitive impairments lead to functional decline, thereby reducing independence. Appropriate interventions, if offered in a timely manner, can improve functional ability. The key is early identification of changing conditions that indicate impairments. In this project, the PIs will establish a partnership among faculty, students, and researchers across diverse schools within two universities, in order to develop and evaluate intervention technology for elders. They will utilize a unique eldercare facility in Columbia, called TigerPlace, to study technology targeting mobility and cognitive impairments. Project objectives include: development of an integrated monitoring system that reliably captures data about the elder residents and their environment in a noninvasive manner and balances the needs of health safety and privacy; collection of data in typical independent living, elder settings, using the integrated monitoring system; development of algorithms to extract patterns of activity from the collected sensor data; and evaluation of the usability of the technology and investigation of fundamental issues in human-computer interaction for the population of older adults. To these ends, a monitoring system developed by one of the participants and incorporating gait, physiological, and environmental sensors will be extended. An event-driven video sensor network will be developed to generate an "anonymized" video stream that hides identifying features of the residents, and sensor and video data will be fused and processed for identifying patterns of behavioral activity. Fundamental human-computer interaction (HCI) issues as related to elders will also be investigated. Deliberative evaluation and usability studies will be conducted.Broader Impacts: This project will have broad impact on our society, by offering a model for eldercare technology and by providing policy makers with answers to complex questions of cost effectiveness and outcomes to help guide decisions about services for older people, such as those funded by Medicare and Medicaid (it is estimated that 12.4% of the U.S. population was over 65 in 2000, and this percentage is projected to grow by 2030 is 20%). From the technical point of view, the research will advance the state of the art in HCI for elders, in anonymized and compressed video, in extracting human motion and behaviors from video data, in extracting human activity from sensory events, and in fusing sensor and video data for identifying behavioral patterns. In addition, the project will train both graduate and undergraduate students and help establish an infrastructure in conducting future research projects; faculty and administrators from Lincoln University in Jefferson City, MO will assist the PIs in recruiting traditionally underrepresented nursing and CIS students for multi-disciplinary teams and summer internships.