Methods, apparatus, systems and articles of manufacture for measuring and adjusting physical resistance for athletic activities and fitness equipment are disclosed. An example system includes a user-wearable sensor to measure a first level of physical effort during a first athletic activity using fitness equipment and to generate sensor data indicative of the measured first level of physical effort. The example system also includes a controller to receive the sensor data to perform a comparison of the sensor data and data from second athletic activity indicative of a second level of physical effort, and automatically generate a control signal to adjust a setting of the fitness equipment based on the comparison.

A multiplayer sports formation arrangement prompting method adapted to monitor, by a computing device, a formation of a plurality of athletes participating in a multiplayer sport to prompt each of the athletes to adjust a position is provided, in which at least two wind sensors and a positioning device are disposed on or around each of the athletes. In this method, relative positions of the athletes with respect to each other are detected by using the positioning device, a wind direction is detected by using the at least two wind sensors disposed on or around a first athlete of the athletes, a second athlete behind the first athlete is prompted to adjust the position to enter a low wind resistance zone according to the relative position of the first athlete with respect to the second athlete and the detected wind direction, and the second athlete is prompted to adjust a position within the low wind resistance zone based on values detected by the at least two wind sensors disposed on or around the second athlete.

Improved techniques and systems are disclosed for determining the components of resistance experienced by a wearer of a wearable device engaged in an activity such as bicycling or running. By monitoring data using the wearable device, improved estimates can be derived for various factors contributing to the resistance experienced by the user in the course of the activity. Using these improved estimates, data sampling rates may be reduced for some or all of the monitored data.

A smart ball-machine uses artificial intelligence to train a player or to play with a player. For example, the ball-machine can adjust the tennis ball speed, topspin, bounce according to the player's successful ball return rate. The ball-machine can be preconfigured with a profile of a player. For example, the ball-machine may download a complete profile of a tennis player from a game recording, or may download a file with a customized profile of a player to train a player using the ball-machine. The ball-machine is equipped with a plurality of wheels, motors, and shafts to provide a fully customizable launch of one or more balls. For example, the ball can be launched from the machine from one side of a tennis court to another side of a tennis court with a variety of speeds, trajectories, topspin, bounce etc.

Exemplary embodiments of the present disclosure are directed to systems, methods, and computer-readable media configured to 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.

Athletic performance monitoring systems and methods, many of which utilize, in some manner, global positioning satellite (GPS) data, provide data and information to athletes and/or to equipment used by athletes during an athletic event. Such systems and methods may provide route information to athletes and/or their trainers, e.g., for pre-event planning, goal setting, and calibration purposes. Such systems and methods optionally may provide real time information to the athlete while the event takes place, e.g., to assist in reaching the pre-set goals. Additionally, data and information collected by such systems and methods may assist in post-event analysis for athletes and their trainers, e.g., to evaluate past performances and to assist in improving future performances.

Methods and systems for detecting configuration states of a golf club and adjustment systems of a golf club, such as a shaft connection system. A golf club configuration detection system captures configuration data from the adjustment system of the golf club by a configuration detection device, such as a camera, a barcode scanner, or an RFID scanner. The captured configuration data is compared to reference configuration data to determine a configuration state of the adjustment system. Swing data and ball-flight data are tracked for golf-ball strikes with the golf club in the detected configuration state. Recommendations for configuration states may be generated based on the tracked data.

Methods and systems for detecting configuration states of a golf club and adjustment systems of a golf club, such as a shaft connection system. A golf club configuration detection system captures configuration data from the adjustment system of the golf club by a configuration detection device, such as a camera, a barcode scanner, or an RFID scanner. The captured configuration data is compared to reference configuration data to determine a configuration state of the adjustment system. Swing data and ball-flight data are tracked for golf-ball strikes with the golf club in the detected configuration state. Recommendations for configuration states may be generated based on the tracked data.

A net post system for padel tennis. The system comprises of a pair of post. Each post defines a lower ball launching aperture and a ball feeding aperture. A pair of ball chutes, each chute leads to the ball feeding aperture. A pair of controllers. Each controller connects to a power source. Each controller receives commands from a remote. A pair of housings. Each housing has a first servomotor that has a first wheel that spins counterclockwise, a second servomotor that has a second wheel that spins clockwise, wherein the first wheel and the second wheel are spatially separated so that a ball can be pushed into a space, and a third servomotor that controls a lever that is configured to push the ball within the space that leads to the ball launching aperture. And, a net that attaches to the pair of posts.

The technology disclosed here involves classifying activity data based on inactivity types. An example method involves receiving, by a processor, activity data of one or more sensors, the activity data comprising a plurality of sensor measurements associated with multiple parameters monitored during an activity session of a user; retrieving a set of criteria that comprises thresholds to detect a plurality of inactivity types, wherein the set comprises a criterion related to a physical activity; classifying, by the processor based on the set of criteria, the received activity data of the one or more sensors into one or more segments, wherein the one or more segments comprise a segment comprising a portion of the activity data corresponding to an inactivity type of the plurality of inactivity types; and generating output based on the classifying.