Physical Sensors & Devices

Sweat rate can provide the precautious signal of hyperhidrosis, hypohidrosis, and autonomic dysfunction. Currently, microfluidic and hygrometer-based sweat rate sensors are two types of available real-time sweat rate sensors. However, microfluidic device has issues of low temporal resolution, limited volume capacity, and surrounding artifact dependencies, while hygrometer-based devices also has overfilling and environmental artifact issues. In this work, we present reusable sweat rate sensor for continuous monitoring of sweat rate with novel sensor design.

Project...

Endoscopic ultrasound imaging systems require compact, low-power probes with a dense array of sensing elements. At the same time, the cabling inside the probe tube that interfaces with the external processing unit should be minimal. State-of-the-art ultrasound imagers that utilize CMUTs and PMUTs require integrating each transducer’s power-hungry analog frontend on probe, making it more difficult to satisfy the safe power limit. To address this, we propose the use of silicon microring resonators (MRRs) as ultrasound sensors. Their small element size (10-20 µm in diameter) allows us to...

3D perception is an essential task for autonomous driving, and thus building the most accurate, computationally efficient, fast, and label efficient models is of great interest. In particular, label-efficient 3D detection is attractive as manual labeling of 3D LiDAR point clouds is both costly and time-consuming. Autolabeling is a machine learning paradigm in which a model is trained on a (small) set of labeled data before being used to generate predictions, known as pseudo-labels, on a large set of unlabeled data which can then be used to train an accurate downstream model with only a...