NeTS-NOSS: Sensor Systems to Support Context-Aware Applications

需要一种融合了个人和环境传感器系统的中间件。其目标是让运行在用户个人/可穿戴设备上的应用程序利用安装在人们通常通过的环境中的传感器网络增强的感知能力。这种协作感知能够极大地增强个人系统，同时允许用户保持对隐私敏感信息的控制。此外，合作可以通过要求环境系统做更多详细阐述传感器数据的工作来增强计算能力并降低应用程序的功率要求。这项工作以实际应用为指导，将以个人健康感知和测量作为初始应用领域来验证概念。例如，激励应用是个人活动测量系统，它不仅通过测量身体上的力来测量人的活动和用力水平，而且还可以与健身中心的设备接口，并从锻炼设备上的设置和传感器(例如，心率监测器)获得进一步的数据。软件构件将是中间件，以使构建这些类型的新应用程序更有效率，并且应用程序本身对感知和计算资源的可用性更加健壮。科学成果将是使传感系统相互关联的技术，以及在用户来来去去的高度动态环境中协调计算的方法。这种中间件将在华盛顿大学的产品设计课程中进行练习，学生们将在课程中构建和评估可穿戴式和环境传感器混合系统。

There is a need for middleware that blends personal and ambient sensor systems. The objective is for applications, running on a user's personal/wearable devices, to take advantage of the enhanced sensing capabilities of sensor networks installed in the environments that people typically move through. This cooperative sensing has the ability to greatly enhance personal systems while allowing users to retain control of privacy-sensitive information. Moreover, cooperation can enhance the computational capabilities and lessen the power requirements of applications by asking the ambient systems to do more of the work of elaborating the sensor data. This work is guided by practical applications and the concepts will be validated using personal health sensing and measurement as the initial application area. For example, the motivating application is a personal activity measurement system that not only measures a person's activities and level of exertion from measuring forces on their body but can also interface to equipment in a fitness center and gain further data from setting and sensors (e.g., heart rate monitors) on exercise equipment. The software artifacts will be middleware to make building these kinds of new applications more efficient and the applications themselves more robust to the availability of sensing and computational resources. The scientific results will be techniques to correlate sensing systems as well as methods for coordinating computations in a highly dynamic environment where users come and go. The middleware will be exercised in product-design courses at the University of Washington where students will build and evaluate hybrid wearable and ambient sensors systems.