A method is disclosed for using an artificial intelligence engine to modify resistance of pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive measurements as input, and outputting, based on the measurements, a control instruction that causes the exercise device to modify, independently from each other, the resistance of the pedals. While a user performs an exercise using the exercise device, the method includes receiving the measurements from sensors associated with the pedals. The method includes determining, based on the measurements, a quantifiable or qualitative modification to the resistance provided by a pedal of the pedals. The resistance provided by another pedal of the pedals is not modified. The method includes transmitting the control instruction to the exercise device to cause the resistance provided by the pedal to be modified.

A watch or other type of portable electronic console that employs a number of different functions in order to improve its usability. The watch may, for example, allow a user to connect the watch to one or more remote electronic devices, such as an electronic performance sensor or MP3 player. The watch then displays information related to the connected electronic devices. Still further, the watch may allow a user to control the operation of one or more connected remote electronic devices. Thus, if the watch is connected to a remote speed/distance monitor employing a calibration variable, then the watch may allow the user to adjust the calibration variable.

A sensor system and method of using the system synergistically to improve the accuracy and usefulness of measured results is described. The system is comprised of electronically linked components that act as markers to trigger events, producers that gather data from sensors and aggregators that combine the data from a plurality of producers using triggers from marker devices to select the data of interest. The system is shown to be applicable to selection of data regions of interest and to analysis of the data to improve accuracy. The analysis of the data of any particular sensor within the system makes use of extrinsic data, being data generated by other sensors and intrinsic data, that is data or data limits that are known to be true from nature, laws of physics or just the particular information the user wants to acquire. The system is demonstrated on the analysis of Doppler radar measurements of a thrown object.

In one embodiment, a computer-implemented system includes treatment apparatuses configured to be manipulated by patients while performing an exercise session, patient interfaces associated with the plurality of patients, and a server computing device configured to receive first characteristics pertaining to the patients, and initiate a virtual shared session on the patient interfaces associated with the patients. The virtual shared session includes at least a set of multimedia feeds, and each multimedia feed of the set of multimedia feeds is associated with one or more of the patients. During the virtual shared session, the server computing device may present a first layout including the set of multimedia feeds, the first characteristics, or some combination thereof.

A practice wall for sports having a plurality of panels arranged in a series of rows and columns. The columns are joined by hinges such that the columns can be folded to create various profiles which will cause a ball to reflect differently depending on the goals of the athlete. In one embodiment the panels can be readily disassembled so the wall can be temporarily erected, stored, and reassembled. In some embodiments the inventive practice wall can be fitted with instrumentation to provide objective performance data to the athlete or a coach.

A training system, kit, and method including a weighted wearable equipment, e.g. gloves, having a sensor (e.g. accelerometers, gyroscopes, photoelectric sensors, position sensors, tilt sensors, pressure sensors, temperature sensors, blood pressure sensors, heart rate monitors, and SpO2 sensors) and including a weight enhancement (e.g. weight bodies in closed pockets); a non-weighted wearable equipment of the same type as the weighted wearable equipment, the non-weighted wearable equipment having a sensor and. not including a weight enhancement; and a training application in functional communication with each of the weighted wearable equipment and the non-weighted wearable equipment and having a data processor that includes instructions for: analyzing data received from the sensor of each of the weighted wearable equipment and the non-weighted wearable equipment and generating predictive information derived from exercise training data from the sensors.

A basketball training apparatus includes a shot completion sensor, a condition sensor, and a computer. The shot completion sensor determines whether a shot goes through a basketball hoop. The condition sensor senses a physical condition of a basketball shooter. The computer is in communication with the shot completion sensor and the condition sensor, and has a processor for calculating shot completion percentage as a function of the physical condition.

An adjustably-tensioned, transverse-suspended elastic element exercise device is disclosed. The transverse element is suspended between frame elements sized so as to enable full range of motion exercises. The tension and height of the elastic member can be adjusted so as to accommodate varying exercise levels and positions. The assembly may include handgrips and attachments to augment workouts. Electronic adjustability, metrics, programmability and Internet connectivity enhance the user experience. A method of using the device is also disclosed.

According to one aspect of the present invention, a method of improving a participant's ability to move an object toward a desired target through athletic movement is provided. The method comprises establishing a point of focus that is positioned outward from a participant's body. The method further comprises instructing the participant to continuously move the point of focus through one or more series of bodily movements within the field of vision of the participant. By shifting his or her emphasis on continuously moving the point of focus, the participant is able to improve focus and concentration, and eliminate the stress and anxiety associated with executing an athletic movement. The method also naturally triggers correct body mechanics, including the proper sequential release of the participant's joints.

A virtual reality-based exercise device includes a fitness device including a main exercise unit providing a predetermined exercise function to a user, a virtual reality device connected to the fitness device to communicate therewith, and a control unit connected to a server to communicate therewith and controlling the main exercise unit, based on information output from the virtual reality device. The control unit receives score information related to the predetermined exercise function stored in the server and provides the score information to the user through the virtual reality device.