The present disclosure relates to systems and methods for elastic delivery, processing, and storage for wearable devices based on system resources. For example, a wearable apparatus may have at least one battery; at least one sensor configured to measure at least one property associated with a user of the wearable apparatus; at least one memory storing measurements from the at least one sensor and instructions; at least one transmitter configured to send data to a device remote from the wearable apparatus; and at least one processor configured to execute the instructions to: receive, from the at least one battery, an indicator of a charge; and based on the received indicator, sending a command to the at least one sensor to operate in a low-power mode or a high-power mode, the low-power mode having. a lower sampling rate than the high-power mode.

The present disclosure relates to systems and methods for elastic delivery, processing, and storage for wearable devices based on system resources. For example, a wearable apparatus may have at least one battery; at least one sensor configured to measure at least one property associated with a user of the wearable apparatus; at least one memory storing measurements from the at least one sensor and instructions; at least one transmitter configured to send data to a device remote from the wearable apparatus; and at least one processor configured to execute the instructions to: receive, from the at least one battery, an indicator of a charge; and based on the received indicator, sending a command to the at least one sensor to operate in a low-power mode or a high-power mode, the low-power mode having. a lower sampling rate than the high-power mode.

A grip assembly for an item if sporting equipment. The grip assembly is built around a core that is an elongated tubular body dimensioned for mounting on a grip mounting portion of the sporting equipment. The tubular body is formed with a three dimensional open structure located between an inner and an outer wall. The outer surface of the outer wall can also be equipped with a sleeve or other cover to facilitate the grip of a user. Sensors and transmission equipment located within the grip structure can be used to transmit data on forces that the grip is being subjected to, to reception equipment located for convenient viewing by a user.

A pickleball training apparatus that includes a base; a substantially vertical stem configured to engage the base; and an arm assembly coupled to the vertical stem, the arm assembly having: a) a coupler having: i) a bearing configured to engage the vertical stem; ii) one or more apertures; and iii) one or more stand offs; b) one or more arms each having a proximal end configured to engage the one or more apertures of the coupling; and c) a ball connected to a distal end of each of the one or more arms; the one or more arms are substantially rigid and extend in a substantially horizontal orientation from the coupler and the substantially vertical base; and the one or more stand offs extend from the coupler in a generally vertical orientation.

A system for providing golf swing information including a body, a force sensor, and a controller. The body can include a bottom portion configured to rest on a ground surface and can include a top portion. The force sensor can be connected to the top portion of the body. The force sensor can be engageable with a foot of a user performing a golf swing. The force sensor can be configured to generate a force signal based on a force generated by the foot of the user during the golf swing. The control module comprising can include a housing and a speaker connected to the housing and configured to generate an audible indication. The controller can be connected to the housing and can be in communication with the force sensor. The controller can be configured to operate the speaker to generate the audible indication based on the force signal.

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.

Provided is a sensitive golf club with a sensor unit. The sensor unit includes a battery, a sensor module configured to measure sensor data indicating a state of the golf club using power from the battery, a communications unit configured to wirelessly transmit the sensor data to an external device using power from the battery, and a control unit configured to control operation of the sensor module and the communications unit using power from the battery. The sensor unit has an A mode, and a B mode in which operation of the communications unit is suppressed compared to the A mode. The control unit is configured to judge whether or not the golf club is prepared for a shot based on the sensor data, and switch between the A mode and B mode based on whether or not the golf club is prepared for a shot.

The present disclosure relates to systems and methods for elastic delivery, processing, and storage for wearable devices based on system resources. For example, a wearable apparatus may have at least one battery; at least one sensor configured to measure at least one property associated with a user of the wearable apparatus; at least one memory storing measurements from the at least one sensor and instructions; at least one transmitter configured to send data to a device remote from the wearable apparatus; and at least one processor configured to execute the instructions to: receive, from the at least one battery, an indicator of a charge; and based on the received indicator, sending a command to the at least one sensor to operate in a low-power mode or a high-power mode, the low-power mode having. a lower sampling rate than the high-power mode.

A grip adjustment system comprising: a sleeve positionable, in use, on an object configured to be gripped by a user. The system also comprises a distributed array of actuators, each actuator being arranged to actuate a respective portion of the sleeve between a first position and a second position in response to an actuation signal; and a processor. The processor is operable to: receive a pressure distribution and an event quality indicator corresponding to an event of interest; determine an optimal grip based on the pressure distribution and the event quality indicator; select an actuator, of the distributed array of actuators, to be actuated based on the optimal grip; transmit the actuation signal to the actuator such that the shape of the sleeve is changed and the grip of the user is adjusted.

A medical status analysis system, comprising a positionable sleeve a distributed array of pressure sensors arranged to detect a pressure applied to the sleeve; an inertial sensor arranged to detect an inertial measurement of an object; and a processor operable to detect an event of interest, by: receiving inertial input data; and determining that the event of interest has occurred and operable to detect a grip of a user on the sleeve; and analyse the grip of the user on the sleeve, by: receiving input data; determining a grip attribute based on the input data; and determining a medical status of the user based on the grip attribute. Finally, the processor is operable to output the medical status corresponding to the user. The medical status analysis system therefore preferably provides a user of the system with meaningful and interpretable data regarding their medical status.