A method for providing activity data to a user for a workout session includes receipt of first activity data from a first activity sensor and receipt of second activity data from a second activity sensor during the workout session. A first parameter is generated for a workout attribute based on the first activity data received during a first time interval of the workout session, and a second parameter is generated for the workout attribute based on the second activity data received during a second time interval of the workout session. An aggregate parameter for the workout attribute is generated based on both the first parameter and the second parameter. The first activity data and the second activity data generated during the workout session are transmitted to a remote server where a third parameter for the workout attribute is generated.

Program products, methods, and systems for providing fitness monitoring are disclosed. In an embodiment, a method for scheduling training activities for a user of a fitness monitoring device includes: defining a cardio training plan including one or more cardio training activities and defining a non-cardio training plan including one or more non-cardio training activities; scheduling execution of the non-cardio training plan and the cardio training plan in a training calendar; and providing a graphical display of the training calendar including the cardio training plan and the non-cardio training plan to the user of the fitness monitoring device.

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.

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.

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.

Exemplary embodiments of the present disclosure are directed to systems, methods, and computer-readable media configured to autonomously track a round of golf and/or autonomously generate personalized recommendations for a user before, during, or after a round of golf. The systems and methods can utilize course data, environmental data, user data, and/or equipment data in conjunctions with one or more machine learning algorithms to autonomously generate the personalized recommendations.

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.

A method, an electronic apparatus and a recording medium for automatically configuring a plurality of sensing devices, applicable to an electronic apparatus having at least one sensor and a communication device, is provided. In the method, a first sensing data is detected by using the at least one sensor. A plurality of second sensing data is respectively received from the plurality of sensing devices by using the communication device. The first sensing data and each of the second sensing data are analyzed to obtain a moving pattern of the electronic apparatus and each of the sensing devices. A position on a user's body of each of the sensing devices is configured by comparing the moving patterns with at least one movement model.

A golf instruction method, apparatus and analytics platform for determining the state of a putted golf ball relative to a target using information about the golf ball and external variables and remotely displaying the same, comprising a base unit, a mobile device or terminal, and an associated computer program including an analytics engine for analyzing a user's performance. The computer program determines whether and how a putted golf ball has missed said target and then stores, aggregates and displays that information for a user. The analytics engine is operable to aggregate data, analyze data and then correlate a user's actual skill proficiency to ball performance.