An Internet of Thing (IoT) device includes a transceiver coupled to a processor. Blockchain smart contracts can be used with the device to facilitate secure operation.

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.

A system for synthesising inertia in exercise equipment, the exercise equipment comprising a rotatable member to which a user applies a user torque in use, the system comprising: an electric drive system comprising an electric motor operably connected to the rotatable member, the electric motor configured to impart a resistance torque, in use, on the rotatable member of the exercise equipment, whereby the resistance torque opposes the user torque; at least one sensor for monitoring a user input to the rotatable member; and a control system, comprising at least a processor and a memory, wherein the control system is connected to the at least one sensor and is configured to use the input from the at least one sensor and at least one predetermined parameter storable in the memory, to determine a resistance torque and to provide instructions to the electric drive mechanism to impart said resistance torque on said rotatable member.

Systems, methods and computer-readable media are provided for determining an effective altitude in relation to a moving sports object. In some examples, a method includes determining respective values for an air temperature, an air pressure, and a relative humidity of an environment of interest. Based on the determined respective values of the air temperature, the air pressure, and the relative humidity, an air density for the environment of interest is calculated to derive a first air density value. A second air density value is derived for a reference environment. An absolute value of a difference between the first and second air densities is compared against a preset comparison value and, based on the comparison being equal to or smaller than the preset comparison value, an output including an indicator of the effective altitude is generated.

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.

Provided is a smart golf ball comprising: an inner electronics core, the inner electronics core comprising: a microcontroller with memory and at least one processor; a power supply in communication with the microcontroller; and an RF transmitter/receiver in communication with the microcontroller; an outer core surrounding the inner electronics core; and a skin layer covering the outer core. Also provided is a data processing system configured for golf ball tracking, comprising: a host computing system; a display in communication with the host computing system; one or more smart golf balls, each comprising a Real Time Location System (RTLS) Ultra-wideband (UWB) transmitter/receiver and a corresponding ID, in communication with the host computing system; three or more beacons, each comprising an RF transmitter/receiver, in communication with the host computing system; and a golf ball tracking module.

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.

Providing interaction with media content includes broadcasting media content to a display device, associating a downloadable fitness program with the media content with synchronization indicators to synchronize the downloadable fitness program with the media content, and controlling an operational parameter of an exercise machine based on physical characteristics of an environment depicted in the media content.

Systems, methods and computer-readable media are provided for determining an effective altitude in relation to a moving sports object. In some examples, a method includes determining respective values for an air temperature, an air pressure, and a relative humidity of an environment of interest. Based on the determined respective values of the air temperature, the air pressure, and the relative humidity, an air density for the environment of interest is calculated to derive a first air density value. A second air density value is derived for a reference environment. An absolute value of a difference between the first and second air densities is compared against a preset comparison value and, based on the comparison being equal to or smaller than the preset comparison value, an output including an indicator of the effective altitude is generated.