Abstract
This publication describes techniques relating to the detection and classification of user behavior through the fusion of ultrasonic proximity data and Doppler-shift velocity data on a computing device. Through the use of an ultrasonic proximity sensor and, in aspects, a radar sensor, user position and velocity can be combined and analyzed by the computing device to provide accurate user behavior predictions. These user behavior predictions may be used by the computing device to identify unique user behavior features and perform actions based on user behavior identification.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Nadig, Sachin, "Techniques for Detecting and Classifying User Behavior Through the Fusion of Ultrasonic Proximity Data and Doppler-Shift Velocity Data", Technical Disclosure Commons, (November 04, 2022)
https://www.tdcommons.org/dpubs_series/5442