CSR: Small: Infrastructure-free Human Context Awareness with a Wearable Sensing and Computing System

CSR：小：通过可穿戴传感和计算系统实现无基础设施的人类情境感知

• 批准号: 0916864
• 负责人: Weihua Sheng
• 金额: $ 29.4万
• 依托单位: Oklahoma State University
• 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=0916864&HistoricalAwards=false
• 关键词: CSR; Small; Infrastructure; free; Human

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The major objective of this project is to develop the fundamental theoretical framework and algorithms that realize human context awareness in an infrastructure-free fashion and validate them through physical experiments using a body sensor network. This new human context-awareness approach will open up many new research opportunities in pervasive computing, as well as human-computer interaction and human-robot interaction. This project will have many societal impacts. First, the research results can be applied to track and monitor emergency responders, therefore significantly improving the operation efficiency and personnel safety. Second, this project will benefit health research and health care practices. Being able to monitor human's activity and location in a daily setting will enable researchers to study many health problems related to human behaviors. When used by physicians to monitor their patients or elderly people, it can greatly improve the accuracy of disease diagnosis and human health assessment. The proposed research and education integration activities will help boost the enrollment and retention rate in the ECEN program at Oklahoma State University. The proposed outreach activities will stimulate prospective and current college students, especially Native American, female students, to pursue degrees or careers in science and engineering.

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。该项目的主要目标是开发基本的理论框架和算法，以无基础设施的方式实现人类情境感知，并通过使用身体传感器网络的物理实验来验证它们。这种新的人类情境感知方法将在普适计算以及人机交互和人机交互方面开辟许多新的研究机会。这一项目将产生许多社会影响。首先，研究成果可以应用于对应急人员的跟踪和监控，从而显著提高运行效率和人员安全。其次，该项目将有益于卫生研究和卫生保健实践。能够在日常环境中监测人类的活动和位置，将使研究人员能够研究与人类行为相关的许多健康问题。当医生使用它来监测他们的病人或老年人时，它可以极大地提高疾病诊断和人类健康评估的准确性。拟议的研究和教育整合活动将有助于提高俄克拉荷马州立大学ECEN项目的入学率和保留率。拟议的外展活动将刺激未来和现有的大学生，特别是美国原住民女学生，追求科学和工程方面的学位或职业。