Applications of CPS technologies used in health care.
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Our overarching goal is to develop a framework for design automation of cyber-physical systems that augment human-in-the-loop inference and interaction by complex systems operating at the interface of computation and physical environment.
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Many practical barriers continue to exist for a blind individual who strives to live an independent and active life, despite decades of development of assistive technologies. This project addresses the following two most prominent challenges: (1) disparity in information-sharing among people with visual impairment and its limited understanding by the research community; and (2) lack of methods and tools for effectively addressing the disparity.
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Stroke is the leading cause of long-term disability in the US with approximately 7 million stroke survivors living in the US today and for patients with neurological disorders, it has been shown that limited gait velocity commonly results in walking that is predominantly restricted to the household. Unlike traditional exoskeletons, which contain rigid linkage elements, the vision for this work is for exosuits that use soft materials such as textiles to provide a more conformal, unobtrusive and compliant means to interface to the human body.
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The iShadow project aims to develop an end-to-end system that includes novel ultra-low power computational eyeglasses capable of detecting eye movement and features of the external environment. It will provide real-time sensing, processing, and inference capability. Using this system, we will be able to provide the fundamental knowledge base necessary to discover patterns of human behavior and to leverage such patterns to improve transportation and healthcare.
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Researchers from the University of Illinois at Urbana-Champaign in collaboration with physicians and nurses from Intensive Care Unit, Carle Foundation Hospital are developing a new initiative on engineering next generation of medical systems. This project is part of the initiative and focuses on exploring the efficient and safe operation of integrated Emergency Cyber Physical Human (ECPH) systems in emergency scenarios from the Intensive Care Unit (ICU) environment. The key requirements are:
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This project's overall objective is to enable assertion-driven development and debugging of cyberphysical systems (CPS). As opposed to traditional uses of assertions in software engineering, CPS demand a tight coupling of the cyber with the physical, especially to aid system validation. This project will show how physical system models can be used to create and apply assertions to help produce methods and tools that will facilitate verification and validation of cyberphysical systems.In the first year of this project, an emp
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With the increasing popularity of mobile computing, cyber physical systems are merging into major mobile systems of our society, such as public transportation, supply chain systems, health and wellness, and taxi networks. Mobile CPSs interact with phenomena of interest at different locations and environments, and where the context information (e.g., network availability and connectivity) about these physical locations might not be available.
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This project is a modular, computationally-distributed multi-robot cyberphysical system (CPS) for assisting young developmentally-delayed children in learning to walk. Three challenges are stabilizing medio-lateral body sway, developing gait that exploits energy exchange, and coordination of multiple degrees of freedom. Adults assisting children learning to walk provide a "scaffold" of postural supports that enables the child to safely explore the forces acting on its body.
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Human motion-capture and computational analysis tools have played a significant role in a variety of product-design and ergonomics settings for over a quarter-century. In moving beyond traditional kinematic (and its dual-static) settings, advances in biomechanics and multibody dynamics have led up to computational analysis tools that can provide significant insights into the functional performance.
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Optimization algorithms used in a real-time and safety-critical context offer the potential for considerably advancing robotic and autonomous systems by improving their ability to execute complex missions. However, this promise cannot happen without proper attention to the considerably stronger operational constraints that real time, safety-critical applications must meet, unlike their non-real-time, desktop counterparts.
