CAREER: Transforming Personalized Computing with Flexible Systems-On-Polymer

职业：利用灵活的聚合物系统转变个性化计算

基本信息

批准号：
1651624
负责人：
Umit Ogras
金额：
$ 49.99万
依托单位：
Arizona State University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-07-01 至 2021-03-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1651624&HistoricalAwards=false
关键词：
CAREER Transforming Personalized Computing Flexible

项目摘要

Flexible electronics technology has the potential to transform computing by enabling bendable and stretchable systems at a low cost. Physical flexibility combined with cost and weight advantages opens a wide range of application areas, including wearable electronics, medical sensing and rollable displays. However, the performance and capabilities of purely flexible electronics are currently much more limited than the silicon technology. Emerging flexible hybrid electronics (FHE) integrates rigid silicon chips and printed electronics to bridge the gap between today's complex systems and flexible electronics. Hence, FHE can drive the next big leap forward in the form factor design, similar to the shift from desktop and laptop computers to hand-held devices. FHE systems differ significantly from traditional computing systems. First, physical flexibility and stretchability expands the design space into an uncharted dimension, which introduces intricate trade-offs with the traditional power, performance and area metrics. Second, bending and stretching can alter the characteristics of FHE systems. Finally, large batteries and heat sinks are prohibitive due to flexibility and wearability constraints. Therefore, there is a need for theoretically grounded and practically applicable tools that quantify physical flexibility as a new metric. The proposed project will advance the state-of-the-art in FHE by developing modeling, flexibility-aware optimization and run-time management techniques. FHE can be an enabler for ubiquitous devices for wearable computing, internet-of-things, body sensors, and medical applications. This project will help in transforming lives by providing a systematic approach to design wearable systems and arbitrarily shaped objects. For example, FHE can enable electronic patches equipped with motion, physiological and biochemical sensors, and wireless transceivers. These patches can be used to examine movement disorders anytime and anywhere, in stark contrast to the current practice, where a patient has to stay in a clinical environment. The educational goal of this project is to enrich the engineering curriculum with FHE. A digest of research outcomes will be presented to undergraduate and graduate students through a new course. This project will also provide hands-on training to high school, undergraduate, and graduate students to strengthen the STEM workforce pipeline.

灵活的电子技术有可能通过低成本启用可弯曲和可伸缩的系统来转换计算。物理灵活性加上成本和重量优势，开放了广泛的应用领域，包括可穿戴电子设备，医疗传感和可滚动显示。但是，纯粹灵活的电子产品的性能和功能目前比硅技术更有限。新兴的柔性混合电子电子（FHE）整合了刚性硅芯片和印刷的电子产品，以弥合当今复杂系统和柔性电子产品之间的差距。因此，FHE可以在外形设计中推动下一个大型飞跃，类似于从台式机和笔记本电脑到手持设备的转变。 FHE系统与传统计算系统有很大不同。首先，物理灵活性和可拉伸性将设计空间扩展到了未知的维度，该维度引入了传统的权力，性能和区域指标，这引入了复杂的权衡。其次，弯曲和拉伸可以改变系统的特性。最后，由于灵活性和耐磨性限制，大型电池和散热器均过敏。因此，理论上需要基础且实际上适用的工具，以量化物理灵活性为新指标。拟议的项目将通过开发建模，灵活性优化和运行时间管理技术来推动FHE的最新技术。 FHE可以成为无处不在的设备的推动力，用于可穿戴计算，物体，身体传感器和医疗应用。该项目将通过提供系统设计可穿戴系统和任意形状的物体的系统方法来帮助改变生活。例如，FHE可以启用配备运动，生理和生化传感器以及无线收发器的电子贴片。这些补丁可用于随时随地检查运动障碍，与当前的做法形成鲜明对比，与当前的做法形成鲜明对比，患者必须留在临床环境中。该项目的教育目标是通过FHE丰富工程课程。通过一门新课程，将向本科和研究生提出一系列研究成果。该项目还将为高中，本科生和研究生提供动手培训，以加强STEM劳动力管道。

项目成果

期刊论文数量（14）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Multi-objective design optimization for flexible hybrid electronics

柔性混合电子器件的多目标设计优化

DOI：
10.1145/2966986.2967057
发表时间：
2016
期刊：
2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD
影响因子：
0
作者：
Bhat, Ganapati;Gupta, Ujjwal;Tran, Nicholas;Park, Jaehyun;Ozev, Sule;Ogras, Umit Y.
通讯作者：
Ogras, Umit Y.

Online Human Activity Recognition using Low-Power Wearable Devices

DOI：
10.1145/3240765.3240833
发表时间：
2018-01-01
期刊：
2018 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN (ICCAD) DIGEST OF TECHNICAL PAPERS
影响因子：
0
作者：
Bhat, Ganapati;Deb, Ranadeep;Ogras, Umit Y.
通讯作者：
Ogras, Umit Y.

Sensor-Classifier Co-Optimization for Wearable Human Activity Recognition Applications