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Framework for Rapid Development of Embedded Human-in-the-Loop Cyber-Physical Systems

机译:嵌入式人型网络物理系统快速发展的框架

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Human-in-the-Loop Cyber-Physical Systems (HiLCPS) offers assistive technology that augments human interaction with the physical world, such as self-feeding, communication and mobility for functionally locked-in individuals. HiLCPS applications are typically implemented as networked embedded systems interfacing both human and the physical environment. Developing HiLCPS applications is challenging due to interfacing with hardware with different specifications and physical location (local/remote). Also, while algorithm designers prototype applications in MATLAB benefiting from an algorithm design environment, the gap from prototyping MATLAB application to embedded solution traditionally requires significant manual implementation. In this paper, we propose a HiLCPS Framework for the rapid development of embedded HiLCPS applications. The framework groups similar hardware types to classes, unifying their access and with this offering both hardware and location transparent access. The framework furthermore incorporates a domain-specific synthesis tool, called Hsyn. Hsyn empowers algorithm designers to prototype a portable, hardware-agnostic application in MATLAB while offering an automatic path to embedded deployment without requiring embedded knowledge. We demonstrate the benefit of the framework with a brain-controlled wheelchair application prototyped in MATLAB that transparently accesses a variety of EEG acquisition systems with local or remote connections. Then, by using Hsyn, the application is automatically deployed to a BeagleBone Black equipped with a custom-designed electrophysiological acquisition cape. Hsyn shows six orders of magnitude of productivity gain compared to manual embedded deployment. The wheelchair performs stepwise navigated based on human intent inference with 91% accuracy at 0.9 confidence threshold every 4 seconds on average over 9 users.
机译:Loop-Loopy Cyber​​-Mevice-Systems(HILCPS)提供辅助技术,即增加与物理世界的人类互动,例如用于功能锁定的个人的自馈,沟通和移动性。 HILCPS应用通常作为网络嵌入式系统实现,接口人类和物理环境。由于与具有不同规格和物理位置(本地/遥控器)的硬件接口,开发HILCPS应用是具有挑战性的。此外,虽然算法设计人员在MATLAB中的原型应用受益于算法设计环境,但原型MATLAB应用于嵌入式解决方案的差距传统上需要进行重要的手动实现。在本文中,我们提出了一个HILCPS框架,用于嵌入式HILCPS应用的快速发展。该框架将类似的硬件类型与类相似,统一其访问,并使用此提供硬件和位置透明访问。该框架还包含一个特定于域的合成工具,称为HSYN。 HSYN授予算法设计人员在MATLAB中的推出,在MATLAB中的应用程序,同时提供嵌入式部署的自动路径,而无需嵌入知识。我们展示了框架与MATLAB中的脑控制轮椅应用程序的兴趣,透明地访问具有本地或远程连接的各种EEG采集系统。然后,通过使用HSYN,应用程序自动部署到配备定制设计的电生理学采集斗篷的Beaglebone Black。与手动嵌入式部署相比,HSYN显示了六个生产力增益的六个级。轮椅根据人类意向推理的逐步导航,每4秒以0.9次置信阈值,平均超过9个用户。

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