Sensors Midwest 2017

Working with sensor data, particularly sensor data in the form ofsignals, can be very difficult. High sample-rate signals like sound,vibration, accelerometry and electrical signals are usually thedomain of the signal processing engineer, but there are newmachine learning and AI-driven techniques that make thesetypes of data much easier to work with, and much easier to blendwith data from other sensors. This session will help you better understand the difference between time-series and signal data in sensors. Attendees will learn how to determine the right approach for working with each and how to use the latest machine learning and AI techniques on this kind of data.