The invention concerns a device for measuring instantaneous sprint velocity, said device consisting of at least one position and/or one velocity sensor and one IMU sensor that respectively provide position and/or velocity and acceleration signals and wherein said signals are fused. The invention also concerns a method for measuring instantaneous sprint velocity comprising the use of at least one position and/or one velocity sensor and one IMU sensor that respectively provide position and/or velocity and acceleration signals and wherein said signals are fused.

Systems and methods for sports analytics are disclosed. A system for evaluating athletic performance can include wearable sensor devices configured to be removably coupled to an athlete's body during athletic performance, and one or more equipment-mountable sensor devices configured to be coupled to reference objects adjacent to an athletic performance site such as a goal or equipment. A computing device can be communicatively coupled to the wearable sensor device(s) and the equipment-mountable sensor device(s). The computing device is configured to receive sensor data from each of the sensor device(s) and to determine at least one performance parameter.

A variety of improvements to portable electronic devices are disclosed, particularly electronic devices designed for use in and around water. The improvements include a more secure interface jack, improved waterproofing techniques, improved battery stability, and improved device functionality. One or more of the disclosed improvements may be incorporated into a variety of portable electronic devices.

A computer implemented method for predicting the oxygen uptake (% VO.sub.2Max) during an exercise of a user in proportion to the user's maximum oxygen uptake through a wearable device. The method comprising obtaining information from a user profile, capturing at least three temporal input data from a user during an exercise, using the information from a user profile and the at least three temporal input data to extract features to compose features vectors, identifying the exercise being performed by the user based on the feature vectors, selecting a predictor model to compute predictions for the % VO.sub.2Max from the user based on the exercise being performed, and predicting the % VO.sub.2Max from the user based on the selected predictor model.

A method comprises detecting, by one or more processors of a wearable device, a tag identifier of a tag located on exercise equipment. The method also comprises selecting, from a memory of the wearable device, an algorithm from a plurality of stored algorithms responsive to the algorithm having a stored association with the tag identifier and receiving, from a sensor of the wearable device, movement data of a user performing an exercise associated with the exercise equipment. The method may also comprise executing the selected algorithm using the received movement data as input and determining, when the user has completed one repetition of the exercise based on the execution of the selected algorithm using the received movement data. The method may also comprise transmitting a record comprising repetition movement data that was received during the one repetition to a remote computing device.

Methods and systems for force and inertial sensing in a garment. The system may include one or more wearable garments. The one or more garments may include one or more layers and an outer surface. Additionally, a force sensing array including a plurality of force sensing resistors, an inertial measurement unit, and a transmitter unit may be disposed within the one or more garments. A processor may comprise one or more receivers and may connect to the force sensing array, inertial measurement unit, or transmitter unit.

Methods and systems for force and inertial sensing in a garment. The system may include one or more wearable garments. The one or more garments may include one or more layers and an outer surface. Additionally, a force sensing array including a plurality of force sensing resistors, an inertial measurement unit, and a transmitter unit may be disposed within the one or more garments. A processor may comprise one or more receivers and may connect to the force sensing array, inertial measurement unit, or transmitter unit.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a sporting system. The sporting system includes a display screen, a plurality of sensors configured to generate sensor data regarding a sports attempt of a user, imaging devices configured to generate image data of the sports attempt, a speaker, and a control unit. The control unit can receive (i) the sensor data from the plurality of sensors and (ii) the image data from the imaging devices. Based on the received sensor data, the control unit can determine whether the sports attempt was successful. Based on the received image data and whether the sports attempt was successful, the control unit can generate analytics that indicate characteristics of the user and the sports attempt and recommendations for improving the sports attempt for subsequent sports attempts. The control unit can provide output data representing the analytics.

An image-stream windowing method includes capturing, with a camera located at a fixed position and having a fixed field of view, a high-resolution image stream of an object that moves during said capturing. The high-resolution image stream includes a sequence of high-resolution frames. The method also includes determining, for each high-resolution frame of the sequence of high-resolution frames, a respective window, of a sequence of windows corresponding to the sequence of high-resolution frames, that encloses the object within said each high-resolution frame. The size and location of the respective window are determined based at least on the fixed position, the fixed field of view, and a position of the object. The method also includes generating a low-resolution image stream from the high-resolution image stream by cropping said each high-resolution frame with its respective window.

This disclosure relates to systems, media, and methods for quantifying and monitoring exercise parameters and/or motion parameters, including performing data acquisition, analysis, and providing scientifically valid, clinically relevant, and/or actionable diagnostic feedback. Embodiments may be related to systems, devices, methods, and computer-readable media for providing baseline-adjusted real-time feedback to a user. Embodiments may include determining a type of activity for the user. Embodiment may include receiving data from the one or more motion sensors indicating a time-dependent series of three axis acceleration data and three-axis orientation data. Embodiments additionally may include providing a graphical user interface with a real-time representation of the received data. The real-time representation may include a scaled representation of at least one dimension of the time-dependent series of three axis acceleration data and three-axis orientation data for at least one of the one or more motion sensors based on the updated baseline adjustment.