Nike, Inc.

Joshua Rooke-Ley

Jordan M Rice

Steven H Walker

SantoshKumar Balakrishnan

James Mathew Mullin

John Michael Schmitt

Aaron K Goodwin

Adam S Carroll

Corey Dow-Hygelund

Tye L Rattenbury

Aaron B Weast

Brandon S Burroughs

Wade Convay

Richard J Engelberg

Bob Sweet

Example embodiments may relate systems, methods, apparatuses, and computer readable media configured to correlate image data of a user performing physical activity with data collected during the user's performance. Data may include sensor data measuring, force, acceleration, speed, and/or processed sensor data from one or more sensors. Certain embodiments may determine whether the user is within a performance zone based on user attributes. Correlation of the image data with physical activity data may be based, at least in part, whether the user is within a performance zone.

Selecting and correlating physical activity data with image data

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like.

Action detection and activity classification

Growing community of inventors

New York, NY, United States of America

Joshua Rooke-Ley