Systems and methods for generation and traversal of a skill representation graph using machine learning is provided. The system includes a computing device configured to receive a plurality of data of a plurality of individuals including individual skill levels corresponding to a common skill of a plurality of common skills. The computing device determines a relative skill level of the plurality of individuals from the plurality of data and generate a skill representation graph representing a plurality of skill interrelations. Generating the graph further includes generating a plurality of nodes representing a skill, generating a plurality of interconnections representing a process and/or path to master a subsequent skill of a first skill, generating the plurality of interrelations as a function of at least the plurality of data and a machine-learning model, and assembling the graph. The system finally includes a user device configured to display the skill representation graph.

Methods and systems for calibrating a level of intensity of a fitness exercise given a target effort value facilitate optimal exertion for an individual performing the fitness exercise. An instantaneous effort value is determined based on measured real-time and historical data and communicated to the individual. An aspect of the fitness exercise is adjusted based on a difference between the instantaneous effort value and a target effort value.

Systems and methods for assisting a user with creating a custom shots-made basketball practice arrangement are provided. A detector detects made basketball shots. A user interface receives a user selection of a subset of pass receipt locations for a custom shots-made basketball practice arrangement located about a basketball playing surface. A control system receives data indicating the user selection and a number of shots to be made and commands an ejector to launch basketballs to a particular one of the pass receipt locations in the subset until data is received indicating that the selected number of shots to be made are made at the particular one of said plurality of pass receipt locations, cease launching the basketballs to the particular one of the pass receipt locations, and begins launching basketballs to a second particular one of the pass receipt locations in said subset.

An exercise machine monitoring and instruction system for the movement of an element of an exercise machine by an exerciser and providing automated feedback to the exerciser to help improve the exercise in real-time. The exercise machine monitoring and instruction system generally includes an exercise machine having a movable element that moves between a first position and a second position in a reciprocating manner, a sensor that detects a real-time position of the movable element, a processor in communication with the sensor to receive the real-time position data from the sensor related to a position of the movable element and a feedback device in communication with the processor that provides real-time instructions to the exerciser on how to adjust their workout to achieve a desired result.

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.

The rehabilitation training system includes: an evaluation unit configured to evaluate rehabilitation training performed by a trainee; a storage unit configured to store a plurality of evaluation comments regarding the evaluation; a reception unit configured to receive, from an authorized training assistant, designation of an evaluation comment that is restricted from being presented to a specific trainee among the plurality of evaluation comments; a selection unit configured to select an evaluation comment to be presented to the specific trainee from the plurality of evaluation comments based on the evaluation for the rehabilitation training of the specific trainee that is performed by the evaluation unit and the designation; and a presentation unit configured to present the evaluation comment selected by the selection unit.

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.

An interactive exercise apparatus for guiding a user to perform an exercise includes a frame, a mirror, a display device, a driving mechanism, and a control unit. The mirror is movably mounted on the frame and configured to reflect an image of the user. The display device is disposed on a backside of the mirror and visible through the mirror. The driving mechanism is configured to drive the mirror to move with respect to the frame. The control unit is operable to control the driving mechanism according to a location of the user so as to control the mirror to move to a suitable position where the user can see their reflected image.

The invention relates to a system and a method for learning a gesture by a human learner (5), comprising the following steps: equipping said learner (5) with a plurality of motion sensors (6, 7) on a plurality of members that are predetermined in accordance with said gesture to be learned; acquiring biomechanical data provided by said plurality of sensors during a gesture performed by the learner; analyzing said acquired biomechanical data and determining a theoretical correction of the gesture by comparing said biomechanical data of the learner with biomechanical data corresponding to a target gesture; customizing the theoretical correction into a specific correction on the basis of behavior models of the learner derived from a history of biomechanical data acquired for the learner; transmitting said specific correction to the learner; updating said specific correction on the basis of information representing the sensation perceived by the learner when performing the corrected gesture.

A system for estimating maximum heart rate and maximal oxygen uptake from submaximal exercise intensities can include an exercise intensity monitor, a cardiopulmonary monitor, and one or more computers. The computers can be configured, by virtue of appropriate programming, to receive submaximal exercise intensity data from the exercise intensity monitor and submaximal cardiopulmonary data from the cardiopulmonary monitor while a user, who coupled to the exercise intensity monitor and the cardiopulmonary monitor, is performing an exercise at a submaximal exercise intensity. The one or more computers then determine a heuristic estimate of a maximal cardiopulmonary state of the user based on the submaximal exercise intensity data and the submaximal cardiopulmonary data.