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.

A motion device for a virtual reality interaction includes a core, a running belt carried by the core and a frame. The running belt is configured to wrap the core and capable of sliding on the outer surface of the core. The running belt includes a number of running belt units. A surface of each running belt unit facing the core is provided with a number of grooves, and each groove of each running belt unit is connected with a corresponding groove of an adjacent running belt unit through an elastic strap. The frame is located at a periphery of the running belt and is configured to carry the running belt and the core. A number of first balls are arranged between the frame and the running belt.

A force measurement system is disclosed herein. The force measurement system includes a force measurement assembly configured to receive a subject, and one or more data processing devices operatively coupled to the force measurement assembly. In one embodiment, the one or more data processing devices are configured to determine a difference between a center of pressure and a center of mass for the subject from output force and/or moment data, and to determine the fall risk of the subject based upon the difference between the center of pressure and the center of mass for the subject. In another embodiment, the one or more data processing devices are configured to determine one or more balance parameters of the subject from the output force and/or moment data while the subject is stepping onto the top surface of the force measurement assembly and/or stepping off the top surface of the force measurement assembly.

A method for retrofitting exercise machines includes removably attaching a sensor module to a moving part of an exercise machine, the sensor module being configured to detect movements of the moving part and transmit the detected data by a first wireless communication connection, placing a control module in a vicinity of yet separated from the exercise machine, the control module being configured to receive the detected data, calculate an angle value and a speed range using the detected data and transmit the angle value and the speed range by a second wireless communication connection, providing a remote cloud-based application server configured to receive the angle value and the speed range via the second wireless communication connection, verify a user, produce data packets based on the angle value, the speed range and the verified user information and transmit the data packets to a display device.

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.

Systems and methods are for production, management, syndication and distribution of digital assets through a network such as the Internet or wireless network. Digital media assets are distributed to consumers through a syndicated network of Outlets under control of a central platform. Distribution is format agnostic. There is a single platform between the B2B2C, wherein a platform allows, through a single access for each stakeholder, the ability to each have control over availability dates and pricing specifications to a plurality of merchants and/or subscription outlets or channels. Subscription channels can support micro-subscriptions with diversely curated and priced offerings, including acceptance of crypto-currency. The delivered media assets may include content associated with an exercise apparatus, including content for an exercise session including computer generated content and computer augmented content created in response to exercise session data.

A stationary indoor “smart” training bicycle includes a unique combination of adjustable components to provide configurable dimensions to adjust the frame size of the indoor bicycle to properly fit a rider. A system is also provided to process a digital image of an outdoor bicycle and determine and translate dimensions and adjustments to the indoor bicycle to match one or more dimensions (lengths, angles, separations, etc.) of the outdoor bicycle.