Authentication based on correlation of multiple pulse signals

Abstract

Techniques are described for user authentication based on correlation of multiple pulse signals that each describe an independently determined pulse pattern for an individual. Different measurements of an individual's pulse can be generated in response to a request from the individual to access a computing system, such as a kiosk. The different measurements can be generated independently of one another using different types of sensor devices. For example, a measurement can be made using a radar sensor to detect movements caused by the user's pulse, and another measurement can be made through analysis of video data. If the independently generated pulse patterns are sufficiently similar to each other (e.g., determined using machine learning or other techniques), a determination may be made that the individual is not attempting to spoof another individual, and access to the computing system can be granted based at least partly on the determination.