Asurion Corporation

Shawn O'Donnell

Richard Kenneth Reybok

Jeffrey Rhines

Cory Adams

Michael Ballou

Heather Lee Wilson

Lindsay Thompson

Christopher Morgan

Glen Tregoning

Nathanial Beck

Technologies for wireless device battery analysis and prediction are disclosed. A described technology includes extracting first attributes associated with first applications; collecting data samples from wireless devices that are configured to execute one or more of the first applications, each of the data samples including (i) one or more application identifiers identifying one or more processes executing on a wireless device during a time duration, and (ii) battery drain information associated with the time duration; determining battery usage characteristics of the extracted first attributes based on correlations among a portion of the data samples; extracting second attribute(s) associated with a second application; identifying one or more of the extracted first attributes that correspond respectively to the second attribute(s); and using one or more of the determined battery usage characteristics that correspond respectively to the one or more identified first attributes to determine a battery usage profile for the second application.

Battery drain analysis and prediction for wireless devices

Technologies for wireless device battery analysis and prediction are disclosed. A described technology includes collecting wireless device information including battery drain information relating to a battery of a wireless device; determining, based on the collected wireless device information, a plurality of prediction outcomes corresponding respectively to a plurality of different battery usage prediction models; determining accuracies respectively for the battery usage prediction models; generating weight values respectively for the battery usage prediction models based on the determined accuracies; and generating a battery prediction result for the wireless device based on the prediction outcomes and the generated weight values.

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Long Beach, CA, United States of America

Shawn O'Donnell