Nike, Inc.

Koninklijke Philips Corporation N.v.

Michael E Schmitt

Aaron B Weast

Michael Levi Orenstein

Kristopher L Homsi

Katie Anne Ruoff

Vikram Malhotra

Kwamina Crankson

Cesar Marchetti

Evan Dak Wah Dengler

Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment, friends used and the like. Workout information may be shared to social messaging and networking outlets. Workout information shared may include map information including images of maps, interactive maps, links to maps, route information and the like and/or combinations thereof. Additionally or alternatively, an application may be configured to execute within a context of a social networking system to facilitate athletic activity data transfer and generation of workout entries in the social networking site. Recommended activities to be performed or a recommended time to perform an activity may be determined based on a user's schedule, weather or conditions forecasts, or a location of the user or the potential activity.

Monitoring fitness using a mobile device

A brush head () including a neck () having a brush neck (); a plurality of bristle tufts (), each of which includes a plurality of bristle strands with a free end () and a proximal end (), the proximal end having a proximal end head portion (); a plurality of retention rings (), each configured to receive the proximal end of at least one of the plurality of bristle tufts; an elastomeric matrix () bonded to at least a portion of the brush neck, the plurality of retention rings, and the proximal end of the plurality of bristle tufts, wherein the proximal end head portion of each of the plurality of bristle tufts is configured to comprise a space () between the proximal end head portion and the respective retention ring.

Brush head assembly and methods of manufacture

Systems and methods are provided for calculating point values for users who participate in activities. An activity is first captured with a sensor. A processor classifies the activity by comparing a sensor signal to templates. Once the activity is classified, an activity factor is selected. Point values are then calculated as a function of the activity factor and duration of the activity. If a predetermined criteria is met, such as inactivity for a predetermined time period, points may be deducted.

Activity and inactivity monitoring

Systems and method for calculating energy expenditure values and activity points are provided. One or more devices may use an accelerometer and/or other sensors to monitor activity of a user. The user may identify the activity via one of the devices, a mobile phone, a computer device or another device. Activity points or energy expenditure values may be calculated from data received from sensors and the identification provided by the user.

Activity identification

Sporting devices having the ability to provide dynamic indicia are disclosed. Further aspects relate to systems and methods for altering the output of at least one light-emitting/light reflecting device of a sporting device. In one aspect, the selective utilization of dynamic indicia may be implemented in the training or coaching of athletes. In one embodiment, a user input may be received by manipulating a structure traditionally located on a particular type of sporting device or from an external electronic device, including for example, a portable communication device, such as a wireless telephone, media player, tablet, netbook, or notebook computer. Further aspects relate to utilizing sensors to detect a motion parameter of the sporting device and/or an athletic parameter during a selected athletic routine. Certain implementations may utilize data from multiple sporting devices and/or other structures.

Growing community of inventors

Portland, OR, United States of America

Michael E Schmitt