CPS: Synergy: Integrated Sensing and Control Algorithms for Computer-Assisted Training

CPS：Synergy：用于计算机辅助训练的集成传感和控制算法

• 批准号: 1329738
• 负责人: David Roberts
• 金额: $ 99.91万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1329738&HistoricalAwards=false
• 关键词: CPS; Synergy; Integrated; Sensing; Control

This project will result in fundamental physical and algorithmic building blocks of a novel cyber-physical for a two-way communication platform between handlers and working dogs designed to enable accurate training and control in open environments (eg, disaster response, emergency medical intervention).Miniaturized sensor packages will be developed to enable non- or minimally-invasive monitoring of dogs' positions and physiology. Activity recognition algorithms will be developed to blend data from multiple sensors. The algorithms will dynamically determine position and behavior from time series of inertial and physiological measurements. Using contextual information about task performance, the algorithms will provide duty-cycling information to reduce sensor power consumption while increasing sensing specificity. The resulting technologies will be a platform for implementation of communication. Strong interactions among computer science, electrical engineering, and veterinary science support this project. Work at the interface between electrical engineering and computer science will enable increased power efficiency and specificity of sensing in the detectors; work at the interface of electrical engineering and veterinary behavior will enable novel physiological sensing packages to be developed which measure behavioral signals in real time; Project outcomes will enable significant advances in how humans interact with both cyber and physical agents, including getting clearer pictures of behavior through real time physiological monitoring. Students are part of the project and multidisciplinary training will help to provide development of the Cyber-Physical Systems pipeline. Project outreach efforts will include working with middle school children, especially women and under-represented minorities, presentations in public museums that will promote public engagement and appreciation of the contribution of cyber-physical systems to daily lives. The goal of each outreach activity is to encourage both interest and excitement for STEM topics, demonstrating how computer science and engineering can lead to effective and engaging cyber-physical systems.

该项目将产生一个新的网络物理的基本物理和算法构建模块，用于处理器和工作犬之间的双向通信平台，旨在实现开放环境中的准确训练和控制（例如，灾难响应，紧急医疗干预）。微型传感器包将被开发，以实现对犬的位置和生理的无创或微创监测。将开发活动识别算法，以混合来自多个传感器的数据。该算法将根据惯性和生理测量的时间序列动态地确定位置和行为。使用有关任务性能的上下文信息，该算法将提供占空比信息，以降低传感器功耗，同时提高感测特异性。由此产生的技术将是一个平台，用于实施通信。计算机科学，电气工程和兽医科学之间的强有力的相互作用支持这个项目。在电气工程和计算机科学之间的接口方面的工作将能够提高检测器中的功率效率和传感特异性;在电气工程和兽医行为之间的接口方面的工作将能够开发新的生理传感包，其可以真实的时间测量行为信号;项目成果将使人类如何与网络和物理代理互动方面取得重大进展，包括通过真实的时间生理监测获得更清晰的行为图片。学生是该项目的一部分，多学科培训将有助于提供网络物理系统管道的开发。项目的外联工作将包括与中学生，特别是妇女和代表性不足的少数民族合作，在公共博物馆举办讲座，促进公众参与，并欣赏网络物理系统对日常生活的贡献。每一个推广活动的目标是鼓励对STEM主题的兴趣和兴奋，展示计算机科学和工程如何能够导致有效和参与的网络物理系统。