Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, an exercise program comprising a first user energy score, wherein the method comprises generating, by the artificial intelligence engine, the exercise program including an exercise plan including a plurality of exercises. Each respective exercise is associated with user energy consumption metrics based at least on a metabolic equivalent of task (MET) value, and based on the user energy consumption metrics, the first user energy score is associated with the exercise program. The method includes receiving data pertaining to a plurality of users. The data includes physical activity goals the plurality of users desires to achieve. The method includes determining second user energy scores for the physical activity goals, and based on the first and second user energy scores, assigning, by the artificial intelligence engine, at least a subset of the plurality of users to the exercise program.

Systems and methods are disclosed for generating a 3D avatar using a biomechanical analysis of observed actions with a focus on representing actions through computer-generated 3D avatars. Physical quantities of biomechanical actions can be measured from the observations, and the system can analyze these values, compare them to target or optimal values, and use the observations and known biomechanical capabilities to generate 3D avatars.

Methods and apparatuses for athletic performance and technique monitoring are disclosed. In one example, a sensor output is received associated with a movement of a user torso during a running motion. The sensor output is analyzed to identify an undesirable torso motion.

Methods, systems, and computer program products for analysis of movement patterns and corrective actions are provided. Aspects include capturing, via a camera, movement data associated with a user, analyzing the movement data to identify a movement pattern of the user, accessing, from a database, a model movement pattern for the movement pattern of the user, comparing the model movement pattern to the movement pattern of the user, determining a fault in the movement pattern of the user, and displaying, via a display screen, video data comprising a corrected movement pattern for the user based at least on the fault in the movement pattern of the user.

A swing analysis method includes acquiring measurement data measured by an inertial sensor in a swing motion with a golf club, and calculating torque data indicating a temporal change of a torque exerted on the golf club by analyzing the measurement data using a head speed coordination system having a first axis including a speed vector of a head of the golf club, a second axis being orthogonal to the first axis and extending along a shaft of the golf club, and a third axis orthogonal to both the first axis and the second axis.

A System for Measuring Body Kinetics includes a wearable device configured to be wrapped around a joint. A microprocessor is attached to the wearable device. One or more Inertial Measurement Units (IMUs) are connected to the microprocessor and arranged on the wearable device. The IMUs are arranged and configured to provide kinetic data concerning the joint to the microprocessor. A wireless transmission component is connected to the microprocessor. The microprocessor is configured to receive kinetic data from the IMUs, and to transmit the kinetic data by way of the wireless transmission component to a central processor or other device. An algorithm resides within the microprocessor or the central processor or other device, and is configured to determine the position of each IMU from the kinetic data. The wearable device may be constructed of fabric, strap, adhesive tape, or a combination thereof.

Disclosed is a posture coaching method for weight training, which includes sensing an exercising motion of a user by a sensor module that is attached to a part of the body of the user or exercise equipment gripped by the user for exercising; calculating an inherent angle of the sensor module and a linear acceleration of each axis of a user-based coordinate system based on the user by using the sensed value; analyzing an exercising posture of the user by detecting and classifying a pattern of the linear acceleration and the inherent angle; and generating exercising posture correction data based on the classified pattern.

A dry swim simulation system is described. A portion of the system includes a platform extending vertically from the base platform and a first and a second retractable pulley. Another portion of the system includes a first support assembly comprising a first movable cradle configured to receive thighs of the user and a second support assembly. The second support assembly includes a second movable cradle configured to receive a torso of the user, a computing device, and a headrest comprising an opening configured to receive a face of the user such that the user views the computing device. The computing device is configured to receive parameters associated with the user during use of the dry swim simulation system from numerous electrical and/or mechanical components. The computing device is configured to analyze the parameters and provide real-time feedback to the user to improve performance of swimming strokes.

Systems and methods for providing a customized exercise protocol to a computing device of a user. As the user performs the exercise protocol, one or more cameras of the computing device can track the user's movements. The user's movement are assessed to determine if proper form and technique is being used.

Example systems, devices, media, and methods are described for presenting a virtual guided fitness experience using the display of an eyewear device in augmented reality. A guided fitness application implements and controls the capturing of frames of motion data using an inertial measurement unit (IMU) and video data from one or more cameras. The method includes detecting exercise motions (with or without equipment) as well as detecting and counting repetitions. Relevant data about detected motions or equipment is retrieved and used to curate the guided fitness experience. A current rep count is presented on the display along with an avatar for playing messages, performing animated demonstrations, responding to commands and queries using speech recognition, and presenting guided fitness instructions through text, audio, and video.