Designing Multi-sensory Personal Aids in the IoT Age

该计划的目标是物联网（IoT）的质量驱动设计，重点是建立在多传感器无线系统上的健康/保健应用。设计和验证将探索安全和安全的系统，包括可靠，廉价和可用的机器智能（MI）在网络边缘的结合。从长远来看，我们的进步应该能够实现个性化医疗系统，其中跟踪主要生理状态变量以个性化药物，运动和营养剂量，从而实现精确控制，减少广泛的不良反应，特别是对于慢性疾病。短期目标包括质量驱动的可靠系统设计，健康测试平台的开发和信任/认证合规性。慢性健康状况（糖尿病、呼吸）和衰老的系统将被调整，以改善或改进（单独进行的）人体试验。越来越多地使用MI产生了可靠性和可解释性（可信任）的问题，使得它们可以安全地添加到健康和保健设备中。加速器将被设计用于分布式的、隐私保护的人类活动识别（HAR）和其他MI，以及利用嵌入在网络边缘的设备的精心设计的新功能。为了实现多样化的质量目标，我们将联合收割机与特定领域的工具相结合。*确保不同利益相关者正确处理数据目前成本高昂，因为常见的物联网平台成为安全目标，特别是危及健康和健康应用程序中的隐私，我们将在安全设计，信任和安全方面进行多项研究。除了基于断言的质量保证，监控和验证技术外，我们还将探索无否认区块链，用于医疗保健和健康中使用的物联网设备网络中的可行信任机制，特别是身体传感器网络（BSN）。可扩展的区块链技术将被开发用于实现电子健康记录，以解决在医生、药店、保险公司和患者之间的交换中提供可信处方、药物和传感器数据的挑战，从而实现健康/保健方案，并最终实现精确（个性化）医疗。研究重点是物联网在医疗保健领域的可用性和持续服务质量改进，因此将与安全和隐私问题相结合。我们将探索新的混合系统优化和验证方法的使用，以及新兴的计算领域，如不精确，内存，可逆或量子计算。未来的研究将包括量子计算抗性安全和可扩展的可逆电路合成，从能源效率到智能，安全和隐私保护。我们将培养20-30名行业和学术界高度需求的HQP。

This program targets quality-driven design of Internet of Things (IoT), with emphasis on health/wellness applications built on multi-sensory wireless systems. Design and validation will be explored for secure and safe systems including dependable, inexpensive and usable Machine Intelligence (MI) incorporation on the network edge. In long-term, our advances should enable the personalized medicine systems, where major physiological state variables are tracked to personalize medicaments, exercise and nutrition dosing, leading to precise control that reduces widespread adverse effects, especially for chronic conditions.***Short-term goals include the quality-driven design of dependable systems, the development of health testbeds and the trust/certification compliance. Systems for chronic health conditions (diabetes, respiration) and aging will be tuned to improve or obviate the (separately undertaken) human trials. The increasing use of MI creates problems with dependability and with being explainable (trusted), such that they can be safely added to health and wellness devices. Accelerators will be designed for distributed, privacy- preserving human activity recognition (HAR) and other MI, as well as harnessing the carefully designed new capabilities of the devices embedded in the edge of the network. To achieve diverse quality goals, we will combine our property monitors with domain-specific tools.***Ensuring proper data handling by diverse stakeholders is currently costly, as common IoT platforms become security targets, which especially endangers privacy in health and wellness applications, towards which we will undertake several threads of research in secure design, trust and safety. Besides the assertion-based quality assurance, monitoring and verification techniques, we will explore the repudiation-free blockchain for feasible trust mechanisms in networks of IoT devices used in healthcare and wellness, including notably Body Sensor Networks (BSNs). Scalable blockchain technologies will be developed for the realization of electronic health records addressing the challenges of providing trusted prescriptions, medicaments and sensor data in the exchange between medical practitioners, pharmacies, insurance companies and patients, allowing the health/wellness regimen and, ultimately, precision (personalized) medicine.***Research focus on the usability and continuous service quality improvements of IoT for healthcare will be hence combined with the security and privacy concerns. We will explore the use of new hybrid system optimization and verification methods, as well as the emerging computing fields, such as the imprecise, in-memory, reversible or quantum computing. Future-proofing of the research will include the quantum computing-resistant security and scalable reversible circuit synthesis, with benefits ranging from energy-efficiency to intelligence, safety and privacy preservation. We will train 20-30 HQPs in high demand for industry and academy.