The walking training system includes: a treadmill; a determination unit configured to determine whether a walking of the trainee on the treadmill is an abnormal walking based on predetermined abnormal walking symptoms; a display unit configured to display a result of a determination of each of the abnormal walking symptoms; a reception unit configured receive a selection of at least one result of the determination from the results of the determinations, each of which displayed on the display unit, in which regarding pieces of advice about adjustment items for improving the abnormal walking symptoms in the result of the determination which the reception unit has received the selection, the display unit preferentially displays the pieces of advice that are common to pieces of advice about adjustment items for improving the abnormal walking symptoms in a result of another determination in which the determination unit determines the abnormal walking.

An exercise machine is for performing a striding exercise motion. The exercise machine has frame; first and second pedal members; first and second foot pads on the first and second pedal members, respectively, each of the first and second foot pads being configured to move in an elliptical path during the striding exercise motion; first and second rocker arms pivotally coupled to the frame; and first and second adjustment devices configured to actively adjust and set a position of the first and second pedal members relative to the first and second rocker arms, respectively, which thereby changes a shape of the elliptical path.

Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, an alignment plan capable of enabling, during a treatment session, the aligning of a user's body. The method comprises generating machine learning models trained to identify alignment plans. The method also comprises receiving treatment data that comprises a first position of the user's body, aspects of a treatment plan, and one or more attributes of the user. The method further comprises generating the alignment plan by using the machine learning models. The generating is based on at least the aspects of the treatment plan and at least one of the one or more attributes of the user. The alignment plan may comprise a target position of the user's body and one or more elements for adjusting the user's body from the first position to the target position. The method also comprises transmitting the plan to a computing device.

Haptic simulation device that allows a user, by means of natural body movements, to move through a virtual environment displayed by a VR control system (1) and display means (2), using a treadmill with a unidirectional (5) movable miming deck (6). The detection means comprise a control member (7) with a shape such, that the control member extends in front of and/or at least partly to the side of the user, during use of the device when the user is on the treadmill. The control member is coupled to a rotational pressure sensor (8) and one or more transverse pressure sensors (10). The rotational and transverse pressure sensors are coupled to the VR control system and the treadmill control system such that (a) if the user exerts forward or rearward pressure to the control member, the running deck moves rearward and forward, respectively, and (b) if the user additionally exerts a rotational pressure and/or a transverse pressure on the control member, the VR control system moves the virtual environment displayed in the VR display

A stick handling training device is provided. A stick handling training device for practicing stick handling drills having a board surface. A plurality of lights affixed to an underside of the board surface. One or more sensors affixed to the underside of the board surface that detects a presence of one or more physical stimuli. One or more objects for stick handling having a member that generates physical stimuli and an interface display, wherein a user moves the one or more objects across the board surface. The plurality of lights turning on and off in a specific order such that only one light is on at a same time providing an appearance that a single light may be moving in a drill pattern. One or more sensors tracking at least one characteristic of the one or more objects for stick handling and the interface displaying at least one characteristic.

An apparatus includes a training area in the form of an enclosed space in which light levels can be controlled, at least one physical element related to a task for which an individual is to be trained, and a lighting arrangement. The lighting arrangement generates a background luminance level in the training area sufficient to cause the vision system of the individual to function in the mesopic or low photopic range of vision, and the physical elements are themselves illuminated by an illumination means. The luminance level of the physical elements is greater than the background luminance level.

A smart ball-machine uses artificial intelligence to train a player or to play with a player. For example, the ball-machine can adjust the tennis ball speed, topspin, bounce according to the player's successful ball return rate. The ball-machine can be preconfigured with a profile of a player. For example, the ball-machine may download a complete profile of a tennis player from a game recording, or may download a file with a customized profile of a player to train a player using the ball-machine. The ball-machine is equipped with a plurality of wheels, motors, and shafts to provide a fully customizable launch of one or more balls. For example, the ball can be launched from the machine from one side of a tennis court to another side of a tennis court with a variety of speeds, trajectories, topspin, bounce etc.

An electromechanical device for rehabilitation includes pedals coupled to radially-adjustable couplings, an electric motor coupled to the pedals via the radially-adjustable couplings, and a control system including a processing device operatively coupled to the electric motor. The processing device configured to, responsive to a first trigger condition occurring, control the electric motor to operate in a passive mode by independently driving the radially-adjustable couplings rotationally coupled to the pedals. The processing device also configured to, responsive to a second trigger condition occurring, control the electric motor to operate in an active-assisted mode by measuring revolutions per minute of the radially-adjustable couplings, and cause the electric motor to drive the radially-adjustable couplings when the measured revolutions per minute satisfy a threshold condition, and responsive to a third trigger condition occurring, control the electric motor to operate in a resistive mode by providing resistance to rotation of the radially-adjustable couplings.

An apparatus, method, and a non-transitory programmed medium provide a structure to move a heavy bag to simulate sparring along with a method and programmed media to provide selective training experiences. Drive motors in a Cartesian gantry provide multi-axis lateral motion in a horizontal plane. The heavy bag is instrumented to generate information indicative of performance of the user. Also, the heavy bag receives information to prompt a user with indicators such as LEDs. A moving target simulates a boxing match. A user responds to motions of a heavy bag in an X-Y plane whether toward or away from the user. It may be used as a sparring partner. Electronic controls provide a pre-selected pattern of movement. Training programs include sequences designed by professional boxers and trainers. Controls may be adaptive to vary responses of the apparatus in response to user performance.

The present invention relates to selectively adjustable speed and incline levels for treadmills. An example treadmill includes a platform around which a belt rotates, a drive motor for controlling a speed of rotation of the belt, a linear motor for controlling an incline of the platform, a human machine interface configured to receive from a user a first selection regarding at least one of the speed of rotation of the belt and the incline of the platform, at least one manual lever configured to receive from the user a second selection to respectively refine the first selection, and at least one controller that selectively changes the speed of rotation of the belt or the incline of the platform based on the first selection received by the human machine interface, and selectively and respectively refines the first selection based on the second selection received by the at least one manual lever.