An electronic golf aid system for assisting users with reading greens on golf courses includes a camera that captures images of the user's field of view, and an electronic display device with a display screen that displays captured images. A processor, which communicates with the camera and display device, is programmed to: receive signals from the camera indicative of images of a golf ball and a cup on the green; determine respective locations for the golf ball and cup; determine a perspective view of the topology of the green between the golf ball and cup from the user's point of view; determine, based on the green's topology, a proposed trajectory line from the golf ball's location to the cup's location; and direct the electronic display device to display the proposed trajectory line superimposed on the surface of the green as the green is shown in real-time on the display screen.

In an exercising band and an exercising monitoring system having the exercising band, the exercising band includes a band part, at least one sensor part and a spacer. The band part is configured to be elongated according as an external force is applied. The sensor part is disposed inside of the band part, is configured to be elongated according as the band part is elongated, and has first and second sensors. The first and second sensors have conductivity. The spacer is configured to insulate the first and second sensors with each other. The first and second sensors are electrically contacted with each other, as the external force is applied along a direction substantially crossing an extending direction of the first and second sensors.

A method for optimizing at least one exercise. An exercise apparatus is configured to enable a user to perform the at least one exercise. The method includes receiving user data. The method includes generating, based on the user data, initial target data. The method includes receiving measurement data associated with one or more sensors. The method includes determining, differential data. The determining is based on one or more differences between the initial target data and the measurement data. The method includes receiving cohort data. The method includes generating, via an artificial intelligence engine and based on the differential data, a machine learning model trained to generate message data based on a difference between the differential data and the cohort data. The method includes transmitting, to an interface associated with a user, a message to the user based on the message data.

A method includes receiving treatment data associated with a user capable of using a treatment device to perform a treatment plan. The method also includes receiving alignment data associated with the user while the user engages in at least one activity and receiving at least one alignment characteristic associated with the user and determining, using at least the at least one alignment characteristic, whether the at least one alignment characteristic correlates with at least one secondary condition of the user. The method also includes generating secondary condition information indicating at least the secondary condition and modifying at least one aspect of the treatment plan in response to receiving, from a healthcare professional, treatment plan input. The treatment plan input includes at least one modification to the at least one aspect of the treatment plan and wherein, further, the treatment plan input is generated based on the secondary condition information.

Tracking and monitoring athletic activity offers individuals with additional motivation to continue such behavior. An individual may track his or her athletic activity by completing goals. These goals may be represented by real-world objects such as food items, landmarks, buildings, statues, other physical structures, toys and the like. Each object may correspond to an athletic activity goal and require an amount of athletic activity to complete the goal. For example, a donut goal object may correspond to an athletic activity goal of burning 350 calories. The user may progress from goal object to goal object. Goal objects may increase in difficulty (e.g., amount of athletic activity required) and might only be available for selection upon completing an immediately previous goal object, a number of goal objects, an amount of athletic activity and the like.

A treadmill includes a frame, an exercise deck attached to the frame, and a first handle movably attached to the frame. The first handle has a first orientation where the first handle is positioned within a region above the exercise deck and stabilized to support a user's weight during a body weight exercise, and a second orientation where the first handle is positioned away from the region above the exercise deck.

Disclosed is a rehabilitation training apparatus. The rehabilitation training apparatus includes a pair of first tracks formed parallel to each other along first axis, a second track disposed on the pair of first tracks, and moving along the first axis, and formed along second axis, a hand holder disposed on the second track, and moving along the second track, and on which at least one of hand and arm of a user is held, a stopper for a track disposed on the pair of first tracks for limiting a movement range of the second track, and a stopper for a holder disposed on the second track for limiting a movement range of the second pair of first tracks, wherein the first axis and the second axis are disposed with an inclination.

There is provided a method and apparatus for tracking a device. The tracked device may be a wearable device worn by a user participating in an athletic activity. An anchor device is positioned with respect to a playing area and receives signals from the tracked device. The anchor device estimates the position of the tracked device by measuring a distance and direction of the signal, and decodes the signal to obtain measurements taken by the tracked device. The position and the measurements are combined to produce tracking data for the device.

Sensor data is collected from a sensor monitoring a tension generating device of an exercise machine. The sensor data is analyzed to determine whether the sensor data is within a specification. In the event the sensor data is not within the specification, an error stop mode is entered for the tension generating device.

A method for counting spatially arranged, moving markers, wherein the markers being arranged to move along a movement axis parallel to a sensors axis of sensors for detecting the markers during movement. The number of sensors is lower than the number of markers in order to decrease the cost of the sensors system. The present system supports stacks having objects, associated with the markers, of different sizes such as weight plates of increasing height) or different weights.