CPS: Medium: Active Heterogeneous Sensing for Fall Detection and Fall Risk Assessment

CPS：中：用于跌倒检测和跌倒风险评估的主动异构传感

• 批准号: 0931607
• 负责人: Marjorie Skubic
• 金额: $ 141万
• 依托单位: University of Missouri-Columbia
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0931607&HistoricalAwards=false
• 关键词: CPS; Medium; Active; Heterogeneous; Sensing

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The objective of this research is to study active sensing and adaptive fusion using vision and acoustic sensors for continuous, reliable fall detection and assessment of fall risk in dynamic and unstructured home environments. The approach is to incorporate active vision with infrared light sources and camera controls, an acoustic array that identifies the sound characteristics and location, and sensor fusion based on the Choquet integral and hierarchical fuzzy logic systems that supports uncertain heterogeneous sensor data at varying time scales, qualitative data, and risk factors. The project will advance the state of the art in (1) active vision sensing for human activity recognition in dynamic and unpredictable environments, (2) acoustic sensing in unstructured environments, (3) adaptive sensor fusion and decision making using heterogeneous sensor data in dynamic and unpredictable environments, (4) automatic fall detection and fall risk assessment using non-wearable sensors, and (5) algorithms for cyber physical systems that address the interplay of anomaly detection (falls) and risk factors affecting the likelihood of an anomaly event. The project will impact the health care and quality of life for older adults. New approaches will assist health care providers to identify potential health problems early, offering a model for eldercare technology that keeps seniors independent while reducing health care costs. The project will train the next generation of researchers to handle real, cyber-physical systems. Students will be mentored, and research outcomes will be integrated into the classroom. Novel outreach activities are planned to reach the elderly community and the general public

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。本研究的目的是研究主动传感和自适应融合，使用视觉和声学传感器进行连续，可靠的跌倒检测和评估跌倒风险，在动态和非结构化的家庭环境。该方法是将主动视觉与红外光源和摄像机控制，声学阵列，识别声音的特性和位置，传感器融合的基础上Choquet积分和层次模糊逻辑系统，支持不确定的异构传感器数据在不同的时间尺度，定性数据和风险因素。该项目将推进以下领域的最新技术：（1）在动态和不可预测的环境中用于人类活动识别的主动视觉传感，（2）非结构化环境中的声学传感，（3）在动态和不可预测的环境中使用异构传感器数据的自适应传感器融合和决策，（4）使用非可穿戴传感器的自动跌倒检测和跌倒风险评估，以及（5）用于处理异常检测（福尔斯）和影响异常事件的可能性的风险因素的相互作用的网络物理系统的算法。该项目将影响老年人的医疗保健和生活质量。新方法将帮助医疗保健提供者及早发现潜在的健康问题，为老年人护理技术提供一个模式，使老年人保持独立，同时降低医疗保健成本。该项目将培训下一代研究人员处理真实的网络物理系统。学生将得到指导，研究成果将融入课堂。计划开展新颖的外展活动，以接触老年人社区和公众