Invited Speakers
HALOVS: Highly Accelerated Learning of Vibratory Systems
The Highly Accelerated Learning of Vibratory Systems (HALOVS) portfolio is a fundamental science portfolio launched by DARPA’s Defense Sciences Office to develop, model, prototype, and demonstrate technologies to overcome the existing performance limitations of vibratory sensors (e.g., inertial sensors such as accelerometers or gyroscopes in your smartphone) for improved positioning and navigation.
The HALOVS programs will investigate and demonstrate new technology platforms that exploit the latest breakthroughs and insights in 3D micromachining, assembly, and fabrication processes using novel materials and chemistries to determine their dynamic performance limits while increasing lifetime. The goal is to provide precision navigation via a handheld device in GPS-denied environments.
Continuous Physiological Monitoring Using Mechano-acoustic Sensing for Chronic Disease Management
Advances in inertial sensor technology with respect to power consumption, noise, and bandwidth are opening the door to a multitude of use cases for monitoring sounds from the heart, lungs, and digestive tract which contain a wealth of physiological and pathological information.