Palo Alto Research Center Inc.

David Gunning

Shane Patrick Ahern

Michael Roberts

Evgeniy Bart

A computer-implemented system and method for distributed activity detection is provided. Contextual data collected for a user performing an activity is processed on a mobile computing device. The mobile computing device extracts features from the contextual data and compares the features with a set of models. Each model represents an activity. A confidence score is assigned to each model based on the comparison with the features and the mobile computing device transmits the features to a server when the confidence scores for the models are low. The server trains a new model using the features and sends the new model to the mobile computing device.

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Seattle, WA, United States of America

David Gunning