Adidas Ag

Stephen John Black

Jon Harald Werner

Christian DiBenedetto

Christian Dibenedetto

Maya Ann Powch

Amy Jones Vaterlaus

Alan Russell Lee

Tony Hope

Mark Arthur Oleson

Andrew Leonard Axelrod

Jason Iijima

Maya Ann Page

Maya Ann Pouch

Devices, systems, and methods can be used including receiving motion data, categorizing the motion data into portions of a minute that indicate activity or a workout, and automatically determining an accurate number of active minutes for an individual. Multiple data streams may be analyzed and de-duplicated, such that an accurate metric may be computed and reported to an individual.

Increasing accuracy in workout autodetection systems and methods

Fitness monitoring methods, systems, and program products are disclosed. In an embodiment, a computer-implemented method for providing a new workout for an athlete utilizing a fitness monitoring service includes the steps of granting an athlete access to an account of the fitness monitoring service, maintaining a schedule of workouts for the athlete to complete in association with the account, receiving the new workout from a coach, adding the new workout to the schedule of workouts, and exchanging information related to the new workout with a portable fitness monitoring device.

Fitness monitoring methods, systems, and program products, and applications thereof

Apparatus, systems, and methods for monitoring the performance of an individual during a fitness activity are disclosed. A method of monitoring the performance of a participant engaged in a fitness activity includes receiving a GPS signal during the fitness activity at a portable fitness device used by the participant; determining participant performance data based on the received GPS signal; at a stationary position beacon, transmitting location data associated with the location of the stationary position beacon; at a mobile participant receiver supported by the participant, receiving the location data from the stationary position beacon; and modifying the participant performance data based on the data received from the stationary position beacon.

Fitness activity monitoring systems and methods

Methods and program products for building a workout are disclosed. In an embodiment, a method for generating a workout includes the steps of receiving user input indicating features of a desired workout, generating a workout, wherein the workout comprises a plurality of intervals, and wherein a first interval comprises an interval intensity and an interval duration, and initiating a graphical display that conveys the number of intervals making up the workout and the interval intensity and the interval duration of the first interval.

Methods and program products for building a workout

Apparatus, systems, and methods for tracking the location of an individual during a fitness activity are disclosed. A method of tracking a participant engaged in a fitness activity includes determining a location of the participant during the fitness activity based on data received at a portable fitness device used by the participant; determining a location of a spectator during the fitness activity based on data received at a mobile spectator device used by the spectator; from a server, sending an alert to a spectator at a spectator device during the fitness activity indicating that the participant is within a predetermined distance of the spectator; and sending an alert to the portable fitness device during the fitness activity indicating that the spectator is within a predetermined distance of the participant.

Devices, systems, and methods can be used including receiving motion data including comparing time-stamped speed data with predetermined cycling speed ranges, categorizing the speed data into portions of a minute that indicate each of the predetermined cycling speed ranges, determining portions of a minute indicate a cycling activity has begun, determining portions of a later minute indicate a cycling activity has paused or ended, confirming a minimum time inactive indicating that a cycling activity has ended, and determining that a minimum time active has elapsed between the indication a cycling activity has begun and indication a cycling activity has ended such that a cycling activity is categorized as a cycling workout.

Automatic cycling workout detection systems and methods

Program products, methods, and systems for providing fitness monitoring are disclosed. In an embodiment, a method for scheduling training activities for a user of a fitness monitoring device includes: defining a cardio training plan including one or more cardio training activities and defining a non-cardio training plan including one or more non-cardio training activities; scheduling execution of the non-cardio training plan and the cardio training plan in a training calendar; and providing a graphical display of the training calendar including the cardio training plan and the non-cardio training plan to the user of the fitness monitoring device.

A robotic athletic training system may include a mobile robotic platform, a sensor module associated with the mobile robotic platform and configured to obtain data from an environment. The system may include a drive system that propels the platform, as well as a steering system that steers the platform. The system may include a processor which receives data from the sensor module and control the drive system or steering system to follow a path based on the data received from the sensor module. A method may include controlling a robotic athletic training system (or robotic training platform) so that it moves at a velocity. The robotic athletic training system may include a vision system configured to receive data related to a surface and compare a baseline data of a desired surface to the received data and adjusting a travel direction of the robotic system in response to the comparison.

Growing community of inventors

Portland, OR, United States of America

Stephen John Black