Energy-harvesting technology provides a promising platform for future IoT applications.
However, since communication is very expensive in these devices, applications will require …

Recent advances in deep learning motivate the use of deep neutral networks in sensing
applications, but their excessive resource needs on constrained embedded devices remain …

Battery-free, energy-harvesting devices operate using energy collected exclusively from
their environment. Energy-harvesting devices allow maintenance-free deployment in …

Tiny energy harvesting sensors that operate intermittently, without batteries, have become
an increasingly appealing way to gather data in hard to reach places at low cost. Frequent …

Batteryless image sensors present an opportunity for long-life, long-range sensor
deployments that require zero maintenance, and have low cost. Such deployments are …

The COVID-19 pandemic has dramatically increased the use of face masks across the
world. Aside from physical distancing, they are among the most effective protection for …

Frequent blood pressure (BP) assessment is key to the diagnosis and treatment of many
severe diseases, such as heart failure, kidney failure, hypertension, and hemodialysis …

Battery-free sensing devices harvest energy from their surrounding environment to perform
sensing, computation, and communication. This enables previously impossible applications …

Batteryless energy-harvesting devices are computing platforms that operate in environments
where batteries are not viable for energy storage. Energy-harvesting devices operate …

We propose Zygarde--which is an energy--and accuracy-aware soft real-time task
scheduling framework for batteryless systems that flexibly execute deep learning tasks1 that …