A method for providing at least one of the following information to an athlete during a race such as a running or a cycling race: a race time prediction; a probability to achieve a target time at the end of the race; and/or an indication whether the pace followed by the athlete is too fast, adequate or too slow in order to achieve a target time. The method includes measuring during the race a plurality of intermediate times with an inertial sensor and/or a positional sensor in a wearable device; causing a processing unit in the wearable device to retrieve, based on the intermediate time and on previous races of other athletes, a race profile as non-linear function of time over distance (t=f(d)); and using the retrieved race profile for determining the information.

The present disclosure generally provides oral inserts useful for determining forces experienced by a user, such as a human user, to the head, for example, by measuring one or more of acceleration, velocity, displacement, or rotation. In some aspects, the disclosure provides oral inserts that, when worn properly by a human user, calculate the forces experienced by the user's head with high accuracy. In some aspects, the disclosure provides systems for detecting and calculating forces experienced by the user's head and to determine whether such forces are above a certain threshold indicative of increased concussion risk. In some aspects, the disclosure provides methods for calculating forces experienced by the user's head and determining whether such forces are above a certain threshold indicative of concussion.

A system and method for estimating a caloric expenditure by a user for a workout. A system includes one or more wearable sensors configured to be worn by the user, each sensing biometric data and/or performance data about the user during the workout. A mobile computing device includes a memory that stores a user profile for the user and a metabolic equivalent of tasks (METs) table, and one or more communication inputs for receiving the biometric data from the one or more wearable sensors. A computer processor associated with the mobile computing device is configured by an application to calculate the caloric expenditure by the user for the workout according to one or more fields of the METs table and the user profile, and based on the workout defined by the application.

An article of footwear includes a motorized tensioning system, sensors, and a gesture control system. Based on information received from one or more sensors the gesture control system may detect a prompting gesture and enters an armed mode for receiving further instructions. In the armed mode the system may detect a variety of different control gestures that correspond to different tensioning commands.

A multi-mode tracking method according to the present disclosure includes receiving sensor signals from a plurality of positioning sensors located on a plurality of sport participants wherein the sensor signals each include a participant identifier and location data, receiving a sport image captured from a camera located near a playfield wherein the sport image includes at least a target participant among a plurality of sport participants on the playfield, detecting an occlusion related to the target participant in the sports image, determining the severity of the occlusion on the basis of a sensor signal received from a specific positioning sensor installed on a specific sport player located in a region of interest related to the occlusion, and determining a location of the sport participant on the basis of the severity of the occlusion.

Training at the proper level of effort is important for athletes whose objective is to achieve the best results in the least time. In running, for example, pace is often monitored. However, pace alone does not reveal specific issues with regard to running form, efficiency, or technique, much less inform how training should be modified to improve performance or fitness. A sensing system and wearable sensor platform described herein provide real-time feedback to a user/wearer of his power expenditure during an activity. In one example, the system includes an inertial measurement unit (IMU) for acquiring multi-axis motion data at a first sampling rate, and an orientation sensor to acquire orientation data at a second sampling rate that is varied based on the multi-axis motion data.

Systems, methods, and computer-readable media are disclosed for capturing, over the course of a sports match, gaze data for each participant on a team, identifying a team-level key performance indicator (KPI) associated with a sports domain to which the sports match corresponds, and generating KPI data corresponding to the KPI. A graph may then be constructed based at least in part on the KPI data, where each node in the graph may represent a player on the team or an object of interest, and each edge connecting adjacent nodes may be weighted to indicate a degree of interaction between the nodes connected by the edge. KPI data may be aggregated across multiple sports domain KPIs and analyzed to assess team performance characteristics during the sports match. Report data indicative of team performance for different game scenarios, and optionally including recommendations for improving team performance in such scenarios, may be generated.

Hand held weight units of light weight manufactured as a solid unit, a shell unit with core insert combinations or modular units with interlocking ends. Shell units with core inserts and modular interlocking units allow for the changing of held weight by inserting or removing inserts or by locking or unlocking of modular weight unit sets creating varying held weight. The weight units are primarily used with upper body exercises during aerobic exercises in the home, outdoors, or in a gym setting such as walking or running to vary the intensity of workout during use.

Hand held weight units of light weight manufactured as a solid unit, a shell unit with core insert combinations or modular units with interlocking ends. Shell units with core inserts and modular interlocking units allow for the changing of held weight by inserting or removing inserts or by locking or unlocking of modular weight unit sets creating varying held weight. The weight units are primarily used with upper body exercises during aerobic exercises in the home, outdoors, or in a gym setting such as walking or running to vary the intensity of workout during use.

Systems, methods, and computer-readable media are disclosed for capturing gaze data for a sports participant over the course of a sports match, identifying a key performance indicator (KPI) corresponding to a sports domain with which the sports match is associated, and generating KPI data corresponding to the KPI. Report data indicative of the KPI data may be generated and presented to the sports participant in-match or post-match. KPI data for a player may be aggregated across multiple sports domain KPIs and multiple sports matches and analyzed to determine player activity patterns. The player activity patterns may indicate statistical differences in KPIs for the player in relation to different in-match scenarios. Recommendations may be provided to the player for improving the player's performance with respect to various KPIs.