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  1. The increasingly sophisticated at-home screening systems for obstructive sleep apnea (OSA), integrated with both contactless and contact-based sensing modalities, bring convenience and reliability to remote chronic disease management. However, the device pairing processes between system components are vulnerable to wireless exploitation from a noncompliant user wishing to manipulate the test results. This work presents SIENNA, an insider-resistant context-based pairing protocol. SIENNA leverages JADE-ICA to uniquely identify a user’s respiration pattern within a multi-person environment and fuzzy commitment for automatic device pairing, while using friendly jamming technique to prevent an insider with knowledge of respiration patterns from acquiring the pairing key. Our analysis and test results show that SIENNA can achieve reliable (> 90% success rate) device pairing under a noisy environment and is robust against the attacker with full knowledge of the context information. 
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    Augmented Reality (AR) as a technology will improve the way we work and live in the future. The Microsoft HoloLens device allows for rendering of interactive virtual components into a real world space. The HoloLens is an augmented reality headset and can display these virtual components in front of the user’s eyes, so the data needed to complete a real-world task will always be available. The nature of a HoloLens device lends itself useful for applications in a healthcare setting. Potential benefits come from transitioning to a more hands-free environment such as allowing the logging of data while in sterile environments without needing to sterilize repeatedly from touching paper or tablet. This project developed an augmented reality (AR) application to include a care plan tracker established by a patient’s doctor to allow the patient to do daily tasks without a health care worker’s supervision. The application displays the medications that the patient needs to ingest, daily tasks to complete, and health data to record. The application allows the physician to retrieve useful patient information regularly without scheduled physicals. This project sets a baseline that will provide future developers with documentation, research, and this sample application to assist in the design and construction of more complex applications in the future at the University of New Hampshire. 
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