Mouth guard that includes a flexible printed circuit board encapsulated within a base member is provided. The flexible printed circuit board includes multiple separate stiff sections spaced apart from each other within the base member. One or more electronic devices are disposed within the base member. In particular, the one or more electronics are disposed on the base member.

An automated runway loop including a u-shaped runway, wherein the runway is configured to support an aerial projectile with the runway having a discharging end and a receiving end. The runway has a support attached to the runway and to a motor capable of extending and retracting the runway along an axis. At least one sensor is positioned along the runway and configured to provide at least one output indicative of at least one parameter of the aerial projectile. A computer is connected to the sensors and the motor, the computer controlling energization of the motor based at least in part on an indicated parameter of the aerial projectile, where the energization of the motor causes the aerial projectile to be discharged from one end of the runway and to be received at the other end of the runway.

In a first aspect, a method for monitoring a golf swing is provided that includes coupling a mobile telephone to a golf club and employing the mobile telephone coupled to the golf club to monitor acceleration of the mobile telephone as the mobile telephone swings while a user swings the golf club, collect acceleration information based on the monitored acceleration of the mobile telephone as the mobile telephone swings, analyze the collected acceleration information to determine one or more characteristics of the golf swing based on the collected acceleration information, and output information regarding the one or more characteristics of the golf swing on the display of the mobile telephone. Numerous other aspects are provided.

This tool for recording the number of swings in a ball game includes a plurality of holed beads 20 and a cord 30 that is passed through the holes 20H of the beads 20 and that holds the beads 20 so that the beads 20 can slide, the cord 30 is formed from a cord material that does not stretch in an axial direction but that stretches in a diametrical direction and that is normally urged in a diameter-expanding direction, and the cord 30 constrict in diameter so as to elastically interlock with the walls of the holes 20H of the beads 20 and hold the beads 20 in position, whereby the beads do not shift even if a player strongly shakes the tool, the number of swings in the ball game can be reliably recorded and confirmed, and the tool is easily assembled.

A disclosed feedback method for a smart wearable device includes the following steps: acquiring characterized information of a current motion; searching the database to determine whether corresponding characterized information of motion is found in a database based on the acquired characterized information; prompting to notify that the user's motion is correct, recording the acquired characterized information to have a segmented data, and inserting the segmented data into to the database if the corresponding characterized information is found; and prompting to notify that the user's motion is incorrect if the corresponding characterized information is not found. A motion detector implementing the method and a smart wearable device are also provided.

A wrist worn muscle movement monitoring device includes a wrist strap; a sensor that responds to muscle movement at a wrist wearing the wrist strap; and monitoring circuitry connected to the sensor.

Described herein are systems and methods of guiding a user to achieve musculoskeletal counterpulsation. A method may include receiving a cardiovascular cycle signal from a first sensor; determining a heart rate of the user based on the cardiovascular cycle signal; receiving a rhythmic musculoskeletal activity timing signal from a second sensor; determining an actual musculoskeletal activity cycle (MSKC) to cardiovascular cycle (CC) timing relationship; comparing the actual MSKC to CC timing relationship to a target MSKC to CC timing relationship; providing a recurrent prompt to the user as a timing indication for performance of a rhythmic musculoskeletal activity to guide the user to achieve a musculoskeletal activity cycle rate (MSKR) that approaches the target MSKC to CC timing relationship; and altering a feature of the recurrent prompt based on a determined alignment between the actual MSKC to CC timing relationship and the target MSKC to CC timing relationship.

Disclosed are systems and methods for a computerized framework that leverages artificial intelligence (AI) / machine learning (ML) mechanisms to assign selected individuals to military operations. The disclosed framework comparatively analyzes an ops sheet of a military operation and profile data related to a user(s), and automatically determines user(s) who are optimal for the operation. The determined user or users possess the physical and/or intellectual capabilities to accurately and efficiently, with respect to real-world and electronic resources, perform and complete the operation. The disclosed framework provides a computerized platform that selects users for highly specific tasks based on the users’ analyzed skill sets, and based on computerized determinations of how such users are predicted to perform using those skill sets, securely and/or confidentially provides the users access to information related to the operation.

A computer-implemented method is disclosed. The method includes determining whether one or more messages have been received from at least one of an electromechanical machine, a sensor, and an interface. Then the one or more messages may pertain to at least one of a user and a usage of the electromechanical machine by the user. The electromechanical machine may be configured to be manipulated by the user while the user is performing a treatment plan. The method also includes, responsive to determining that the one or more messages have not been received, determining, using one or more machine learning models, one or more preventative actions to perform. The method also includes causing the one or more preventative actions to be performed.

Portable fitness monitoring methods are disclosed. In an embodiment, a portable fitness monitoring method includes a method for providing audible output to a user during an athletic activity using a portable fitness monitoring device. The method includes the steps of receiving an audio feedback file package that includes a first audio feedback file, updating the audio feedback file package, and processing the updated audio feedback file package to provide audible output to the user through an audio output device during the athletic activity.