Download or read book Towards Self-sustainable Wearable Devices written by Yigit Tuncel and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wearable devices have many promising applications ranging from activity recognition to early diagnosis and prognosis of diseases through continuous monitoring of health-related signals. The emergence of new device form-factors, such as electronic patches and devices embedded into clothing, further amplifies the potential impact of wearable devices on everyday life. Despite the promising outlook, the widespread adoption of wearable devices has been hindered due to several adaptation and technology challenges owing to their limited battery, processing and storage capabilities. On the one hand, wearable devices have severely limited battery capacity due to form-factor requirements, such as small size, light weight and flexibility. On the other hand, these devices collect significant amounts of data to enable sophisticated applications. The energy consumption soars if they transmit this data to a mobile device since wireless streaming of data is prohibitively power-consumptive. Consequently, the recharge interval is short, causing users to stop using these devices.Thus, reducing the dependency of wearable devices on batteries and achieving \textit{self-sustainability} is necessary for unlocking the full potential of these devices and to boost their widespread adoption. To this end, this thesis presents three chapters to form a collaborative solution strategy: i) Incorporate novel, flexible, wearable energy harvesters as orthogonal sources to the battery, ii) employ energy management frameworks to make judicious use of the limited energy to maximize device lifetime, and iii) minimize energy consumption through SW and HW optimizations. In the first chapter, we present a novel analytical model and experimental validation for piezoelectric energy harvesting from joint movements . In the second chapter, we present two energy management algorithms, ECO and tinyMAN, to achieve long-term self-sustained operation. In the third chapter, we present a wearable ultra-low power IoT system for cattle health monitoring, and an open-source domain-specific system-on-chip combining a RISC-V core with accelerators targeting wearable applications. These developments reduce wearable devices' dependency on batteries, maximize their energy efficiency, and foster wider adoption.