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Project Title: Batteryless Wearable Device for Human Physiological Sensing
Project Title: Batteryless Wearable Device for Human Physiological Sensing
WSSL's broad research interests are in the areas of mobile/wearable computing, wireless networking, and embedded systems. Our research agenda has focused on Sustainable Autonomous Things (SATs) for the vision of the Internet of Sustainable Medical Things, Internet of Sustainable Living Things, and Internet of Sustainable Flying Things. Our work is interdisciplinary in nature, where we develop new techniques in sensor and sensing system development, algorithms, data analytics, signal processing, hardware, and firmware optimization to invent (1) a new class of medical devices” that can continuously and unobtrusively collect novel and important health data in non-clinical settings, (2) a new class of "living sensors" that can live with plants/animals, and (3) a new class of "unmanned aerial vehicles" that requires extremely low maintenance.
Project Description
We aim to develop a battery-free wearable system that utilizes solar/wind energy to power brain sensors embedded in a helmet. These sensors will detect fatigue and monitor the cognitive state of bikers, allowing for informed decisions when riders are tired or fatigued.
Learning Objectives:
Learn how to interact with brain sensor developed by our lab (WSSL)
Learn how to develop a battery-free prototype
Creating energy-aware code allowing the system to operate battery-free
Exploring methods to make user-friendly computational headwear
Project management, C++ programming, reading, writing, communication, presentation, experience interactions with PhD students and the PI.
Skills needed:
Basic knowledge of Algorithms, and Data structures.
(optional) Engineering skills such as 3D printing, PCB fabrication and embedded programming.
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