Embodiments of the present invention are directed to devices, systems, and methods for measuring values obtained from one or more sensors installed on a player's tennis racket and/or worn on the player's body, and using those values to calculate various parameters, such as the physical position and motion of the tennis racket. Embodiments may translate the parameters and derive one or more occurrences corresponding to phases of a tennis point or drill and then generate real-time audible, visual, and/or haptic coaching prompts and other related commands and signals, for the purpose of improving a player's motor skills. Embodiments may also send and receive messages to/from other embodiments, thereby permitting a player to interact with other players, coaches, or devices, such as ball machines and cameras.

The invention comprises an apparatus for arm exercise for therapy of a subject. The apparatus comprises a base comprising a planar upper surface. A first set of parallel rails are affixed to said upper surface of the base, the first set of parallel rails comprising a first rail and a second rail positioned parallel to each other and separated from each other by a predefined first distance. A second set of rails comprising at least a third rail having a first end and a second end are also provided, wherein said first end is slidably mounted on the first rail and said second end is slidably mounted on said second end. A sliding mount is slidably affixed to the second set of rails, and configured such that said sliding mount can be slidingly moved between the first end and the second end of the third rail.

A method includes providing information to a user about available guided exercise routines. The method further includes receiving from the user a selection of one of the available guided exercise routines. The method further includes providing digital and audio content comprising the selected guided exercise routine to the user. The method further includes receiving motion data from a at least one motion sensor worn by the user while performing exercises associated with the selected guided exercise routine. The method further includes identifying repetitions of an exercise being performed by the user. The method further includes calculating a performance score based on the motion data received from the motion sensor using a neural network trained using feedback provided by one or more expert reviewers based on review of video of one or more training users performing the exercise. The method further includes displaying the performance score on the display unit.

Aspects of the invention are directed to golf club having a crown, a sole, a face, and a primary alignment feature hard tooled into the golf club head. In some embodiments the golf club has a primary alignment feature comprising a line delineating a transition between at least a portion of the crown having an area of contrasting shade or color with a shade or color of the face. The primary alignment feature is hard tooled into the golf club head with the face of the golf club body.

The present invention relates generally to a novelty golf ball that has a plurality of internal electrical components capable of storing and playing a sound recording when motion of the novelty golf ball is detected. The body of the novelty golf ball may be of unitary construction or comprised of two separate halves that may be removably attached to one another to allow a user to access the electrical components stored on the interior of the novelty golf ball.

A sensor event detection and tagging system that analyzes data from multiple sensors to detect an event and to automatically select or generate tags for the event. Sensors may include for example a motion capture sensor and one or more additional sensors that measure values such as temperature, humidity, wind or elevation. Tags and event detection may be performed by a microprocessor associated with or integrated with the sensors, or by a computer that receives data from the microprocessor. Tags may represent for example activity types, players, performance levels, or scoring results. The system may analyze social media postings to confirm or augment event tags. Users may filter and analyze saved events based on the assigned tags. The system may create highlight and fail reels filtered by metrics and by tags.

A golf launch monitor is configured to determine a flight characteristic of a golf ball. The golf launch monitor includes two low-speed cameras, a trigger device, and a processor. The trigger device is configured to detect a golf swing. The processor is configured to instruct, upon the trigger device detecting said golf swing, the first camera to capture the first ball image; instruct the second camera to capture the second ball image after a time interval, wherein the time interval is less than the first frame rate and the second frame rate; and determine, based at least in part on the first ball image and the second ball image, the flight characteristic of the golf ball.

The exercise management system includes a storage device for storing user personal information; a processor including hardware for determining a resistance exercise content and an aerobic exercise content based on the user personal information; and a communication interface for acquiring motion information indicating motion of the user when exercise instructions are given based on the resistance exercise content, and vital information indicating vitals of the user when the exercise instructions are given based on the aerobic exercise content. Based on the motion information and the vital information, the processor performs a process of presenting performance result information of resistance exercise and aerobic exercise performed by the user on a user terminal device, or another terminal device.

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.

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.