The J-Sleeve System provides a system for collecting and analyzing data from the athletic performance of an athlete to provide feedback and advice on preferred movements to produce increased accuracy and efficient in the performance of the athlete and to improve understanding of the competitive landscape. Users would wear the J-sleeve on their arm during workouts, games, back yard skill sessions for which data is desired for analysis with JSS to improve efficiency and performance of user. JSS uses data and artificial intelligence to improve the efficiency of the athletes and their athletic performance. JSS capabilities include athletic movement form replay and accuracy, movement location tracking, fatigue level tracking, social sharing and competition, and a virtual clipboard for developing plays and positioning, and video game integration. The virtual clipboard allows users to draft optimal plays using data to determine the user with the best chance of success.

The described embodiments relate to systems, methods, and apparatuses for providing an adjustable amount of tension to various portions of a body of a user. The tension can be exhibited by cables that extend from the body mounted device. The cables can be routed through a pulley assembly located with cables guides of the body mounted device. A user can adjust the tension of the cables using knobs located at the ends of the cable guides. The cables can terminate at bands, which can be attached to appendages of the user during training. When the user is wearing the body mounted device, a mounting plate of the body mounted device can conform to the shoulders of the user, and a separate plate of the body mounted device can be depressed against a back side of the user.

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.

This disclosure relates to using a hand held target (e.g. tae kwon do paddle) as a tool for providing physical performance instructions according to a digital workout performance template loaded in advance.

An interior bike system includes: an interior bike including a rotational angle detection sensor sensing a pedal rotation angular speed; a motion recognition sensor recognizing a head or upper body motion of a player; a heart rate measurement sensor measuring a heart rate of the player; a controller receiving and transferring sensing signals of the rotational angle detection sensor, the motion recognition sensor, and the heart rate measurement sensor to a web server; the web server determining whether performing the task motion given to the player is successful based on the signal of the motion recognition sensor of the controller, and generating a content image to which whether the player succeeds in performing the task motion is reflected and transmitting the generated content image to the content controller; and a display unit displaying an image transmitted from the web server through the controller.

An automatic coaching system and method for an exercise state of a user include: a metric calculating step of calculating at least one metric by using data collected by an acceleration sensor or a location sensor worn by the user; a new coaching target metric selecting step of calculating an error rate between the calculated metric and a prestored metric reference value, selecting a new coaching target metric based on the error rate, and outputting a coaching message related to the coaching target metric; a new metric improvement verifying step of verifying new metric improvement occurrence when the new coaching target metric is not selected and outputting an alarm when the new metric improvement occurs; and an exercise state outputting step of outputting an alarm for an exercise state when the metric improvement and the new coaching target metric are not present.

A control device operates a drone with an onboard camera. The control device obtains a current performance metric to be computed for an activity performed by an individual, determines, based on a positioning rule associated with the current performance metric, a selected relative position, SRP, between the individual and the onboard camera, identifies a reference plane of the individual, operates the drone to move the onboard camera from an initial relative position to attain the SRP in relation to the reference plane; operates the onboard camera, when in the SRP, to capture image(s) of the individual, and provides the image(s) for computation of the current performance metric for the activity performed by the individual. The SRP may be defined, by the positioning rule, to ensure that the orientation of the individual in the image(s) is relevant or optimal for the current performance metric.