Apple Inc.

Moov Corporation

Yaohua Hu

Christopher D Moore

Aroon Pahwa

Tong Yuan

Meng Li

Marcel Van Os

Billy P Chen

Christine B McGavran

Adrian Peter Lindberg

Elisabeth Lindkvist

Cédric J Bray

Some embodiments provide a mapping application that has a novel way of displaying traffic congestion along roads in the map. The mapping application in some embodiments defines a traffic congestion representation to run parallel to its corresponding road portion when the map is viewed at a particular zoom level, and defines a traffic congestion representation to be placed over its corresponding mad portion when the map is viewed at another zoom level. The mapping application in some embodiments differentiates the appearance of the traffic congestion representation that signifies heavy traffic congestion from the appearance of the traffic congestion representation that signifies moderate traffic congestion. In some of these embodiments, the mapping application does not generate a traffic congestion representation for areas along a road that are not congested.

Representing traffic along a route

Some embodiments provide a mapping application that has a novel way of displaying traffic congestion along roads in the map. The mapping application in some embodiments defines a traffic congestion representation to run parallel to its corresponding road portion when the map is viewed at a particular zoom level, and defines a traffic congestion representation to be placed over its corresponding road portion when the map is viewed at another zoom level. The mapping application in some embodiments differentiates the appearance of the traffic congestion representation that signifies heavy traffic congestion from the appearance of the traffic congestion representation that signifies moderate traffic congestion. In some of these embodiments, the mapping application does not generate a traffic congestion representation for areas along a road that are not congested.

Automated fitness coaching includes: receiving a plurality of motion data samples obtained by a sensor device, wherein the plurality of motion data samples comprises a plurality of acceleration data samples and a plurality of angular velocity data samples, and pertains to a plurality of motions performed by a user; determining based at least in part on some of the motion data samples, a set of one or more corrected core measurements of the user's body positions during a subset of the plurality of motions; and providing feedback to the user, the feedback being determined based at least in part on the set of one or more corrected core measurements.

Automated fitness coaching based on motion data

Motion data processing includes receiving a plurality of motion data samples, wherein the plurality of motion data samples comprises a plurality of acceleration data samples obtained by an accelerometer and a plurality of angular velocity data samples obtained by a gyroscope, and the plurality of motion data samples pertains to a plurality of motions performed by a user; and correcting for distortions in the motion data samples, including determining, based at least in part on some of the motion data samples, a set of one or more corrected core measurements of the user's body positions during a subset of the plurality of motions.

Automated motion data processing

Techniques of the present disclosure guide an exercise, including counting a number of repetitions, a duration of a static movement, and providing feedback regarding the exercise. In some embodiments a plurality of motion data samples are obtained and collected during a repetitive fitness exercise. A set of extreme points is identified among the plurality of motion data samples, a number of repetitions performed during the fitness exercise is determined based on the set of extreme points, and the information regarding the determined number of repetitions is output. With this information, the management device can give context-aware coaching feedback to the users, for example, counting, motivating, and giving instructions on the exercise.

Automated circuit training

An automated fitness coaching device is presented, comprising: a light emitting diode (LED); a set of one or more sensors configured to obtain motion data samples; one or more processors coupled to the LED and the set of one or more sensors; wherein the one or more processors are configured to: obtain an indication of a color configuration; and cause a control signal to be sent to the LED to cause the LED to emit a color according to the color configuration.

Configuration of an automated personal fitness coaching device

For a device that runs a mapping application, a method for providing maneuver indicators along a route of a map. The maneuver indicators are arrows that identify the direction and orientation of a maneuver. A maneuver arrow may be selected and displayed differently from unselected maneuver arrows. Maneuver arrows may be selected automatically based on a user's current location. The mapping application transitions between maneuver arrows and provides an animation for the transition. Complex maneuvers may be indicated by multiple arrows, providing a more detailed guidance for a user of the mapping application.

Growing community of inventors

Mountain View, CA, United States of America

Yaohua Hu