CSR: Small: Collaborative Research: Smart Buttons: Bio-Enabled Wearable Devices

CSR：小型：协作研究：智能按钮：生物可穿戴设备

• 批准号: 1527540
• 负责人: John Stankovic
• 金额: $ 20.29万
• 依托单位: University of Virginia Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-10-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1527540&HistoricalAwards=false
• 关键词: CSR; Small; Collaborative; Research; Smart

This project aims to build Smart Buttons, a bio-enabled wearable device weighing less than 2 grams. A network of smart buttons will be built that scales from a few buttons for each person individually to over a hundred of buttons for a crowd. This network simultaneously records, generates, compiles posture and interaction data spanning various scenarios, time scales and physical settings. The smart button platform will be able to assist domain scientists in understanding human posture and behavior as well as social interaction in a crowd.The intellectual contributions include a novel bio-enable design philosophy and a set of concrete approaches to seamlessly integrate computation with bio-enabled functions. Subjects (e.g., humans) are treated not only as the source of information, but also as the source of functionality. Unlike electronic computation functions, bio-enabled functions are highly unpredictable and have inherent uncertainty in both measurement and control. The research explores (i) how computation from electronic systems interact with physical bio-enabled functions from living subjects, and (ii) how to integrate these functions. The proposal work first demonstrates a few cases of bio-enabled functions and their effectiveness, including bio-enabled proximity detection, ranging, bio-enabled on-demand sensing, bio-enabled networking and energy management. After these case studies, reusable patterns are extracted, and principles and methodologies to design bio-enabled wearable devices are derived. The results of this research can be used in the future by domain scientists to support (i) individual's behavior predictions and generalizations, and (ii) crowd social interaction modeling and control. The broader impact of this work includes (i) utilizing the smart button technology to analyze teaching effectiveness and reveal the issues and desired features in a teaching environment; (ii) improving curriculum development with hand-on smart button projects; (iii) raising interest in technology among K-12 students and under-represented minority groups through smart button demos in open houses; and (iv) supporting talented female and minority PhD students to successfully accomplish their doctoral studies. The ultimate impact of the smart button technology is to provide a low-cost open experimental platform for behavior/social scientists, leading to a solid foundation for a new science of social interaction. The principles based on bio-feedback can give rise to new paradigms, principles, theory and methods in computer system control with bio-in-the-loop.

该项目旨在制造一种重量不到2克的生物可穿戴设备——智能按钮。一个智能按钮网络将被建立起来，从每个人的几个按钮扩展到人群的一百多个按钮。该网络同时记录、生成、编译跨越各种场景、时间尺度和物理设置的姿态和交互数据。智能按钮平台将能够帮助领域科学家了解人类的姿势和行为以及人群中的社会互动。其智力贡献包括一种新颖的生物激活设计理念和一套将计算与生物激活功能无缝集成的具体方法。受试者（如人类）不仅被视为信息的来源，而且被视为功能的来源。与电子计算功能不同，生物功能是高度不可预测的，在测量和控制方面都具有固有的不确定性。该研究探索了(i)电子系统的计算如何与生物主体的物理生物功能相互作用，以及（ii）如何整合这些功能。该提案首先展示了一些生物功能及其有效性的案例，包括生物功能的接近检测、测距、生物功能的按需传感、生物功能的网络和能源管理。在这些案例研究之后，提取了可重用模式，并推导了设计生物可穿戴设备的原则和方法。本研究的结果可以在未来被领域科学家用于支持(i)个人行为预测和概括，以及（ii）群体社会互动建模和控制。这项工作的更广泛的影响包括(i)利用智能按钮技术来分析教学效果，揭示教学环境中的问题和期望特征；（ii）以手提智能按钮项目改善课程发展；（iii）通过开放参观的智能按钮演示，提高K-12学生和少数族裔对科技的兴趣；（四）支持优秀女、少数民族博士生顺利完成博士学业。智能按钮技术的最终影响是为行为/社会科学家提供了一个低成本的开放实验平台，为社会互动的新科学奠定了坚实的基础。基于生物反馈的原理为生物在环计算机系统控制提供了新的范式、原理、理论和方法。

项目成果

Preclude: Conflict detection in textual health advice

• DOI: 10.1109/percom.2017.7917875
• 发表时间: 2017-03
• 期刊: 2017 IEEE International Conference on Pervasive Computing and Communications (PerCom)
• 作者: S. Preum;M. A. S. Mondol;Meiyi Ma;Hongning Wang;J. Stankovic