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.

Power measurement device for a bicycle trainer, which device is built as a unitary relocatable device comprising an acceleration or velocity sensor, a microcontroller and a memory, wherein the device is equipped with or connectable to a power source, preferably a battery, and wherein the device is equipped with a communication facility to enable the device to wirelessly or through wires communicate with an external application device.

Embodiments provided herein measure metrics of an athletic action and an object associated therewith, and more particularly, to measuring the metrics and characteristics of a baseball during the wind-up, release, flight, and catch of a pitch sequence. Methods may include: receiving, from at least one motion sensor associated with an object, acceleration data and angular velocity data of the object in response to an athletic action performed on the object; processing the acceleration data to establish vector rotation data between a frame of reference of the object and an Earth frame of reference; applying the vector rotation data to the acceleration data to obtain acceleration of the object in the Earth frame of reference; applying the vector rotation data to the angular velocity data to obtain angular velocity of the object in the Earth frame of reference.

A golf ball comprising an electrical component is disclosed herein. The electrical component comprises an integrated circuit having a gyroscope, a magnetometer, and a BLUETOOTH low energy (BTLE) radio, and at least one battery. A body is composed of an epoxy material, and the body encompasses the electrical component.

The present invention relates to a pitching training aid for shadow pitching training, the pitching training aid comprising: a receiving body which includes an inner receiving space and has openings at both sides thereof, and replicates a baseball in a state where a user encompasses and holds the receiving body with his/her hand or wears the receiving body on his/her fingers through the receiving space; a locking holder which is detachably inserted and fixed in the receiving space through the opening of the receiving body, and provides a locking region where locking through-holes are formed in the longitudinal direction, so as to allow at least one finger to be fitted and locked into the locking holder in the longitudinal direction, the locking holes extending in a curved shape having a predetermined curvature; and an elongated body which has a rod shape extending a predetermined length from one side of the receiving body, and provides load and vibration while being elastically deformed and restored by rotation of a user's arm.

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.

A mouth guard senses impact forces and determines if the forces exceed an impact threshold. If so, the mouth guard notifies the user of the risk for injury by haptic feedback, vibratory feedback, and/or audible feedback. The mouth guard system may also remotely communicate the status of risk and the potential injury. The mouth guard uses a local memory device to store impact thresholds based on personal biometric information obtained from the user and compares the sensed forces relative to those threshold values. The mouth guard and its electrical components on the printed circuit board are custom manufactured for the user such that the mouth guard provides a comfortable and reliable fit, while ensuring exceptional performance.

A running method determination device includes at least one processor that executes a program stored in at least one memory. The at least one processor acquires motion data at a time of running of a user, calculates, based on acceleration data in multiple axial directions included in the acquired motion data, a sum of acceleration vectors in the multiple axial directions as a resultant vector, and determines a type of a running method of the user using at least an angle of the calculated resultant vector as a standard of determination.

A system and method for analyzing the swing motion of sporting equipment, for example, a golf club, including at least one or more inertial acceleration sensors, one or more gyrometric sensors, a data acquiring unit, a core micro-controller, and a Bluetooth radio. The motion detecting unit detects at least one motion of the swing. Particularly, the sensors and data acquiring unit calculates swing information using the acquired detection data to match a user's swing motion to optimized equipment. Particularly, the data acquiring unit acquires detection data from the sensor(s) and forwards such data to a computing device or server having stored information that matches the swing motion to an optimized swing device.