A helmet for protecting a wearer's head. The helmet includes an outer shell including a first shell member and a second shell member movable relative to one another in a longitudinal direction of the helmet to adjust a fit of the helmet on the wearer's head. The helmet includes an adjustment mechanism configured to control movement of the first shell member and the second shell member relative to one another. The adjustment mechanism includes an actuator movable between a first position in which the first shell member and the second shell member are allowed to move relative to one another and a second position in which the first shell member and the second shell member are precluded from moving relative to one another. The actuator is configured to lock the first shell member and the second shell member relative to one another without extending through a given one of the first shell member and the second shell member.

Systems and methods facilitate autonomous image capture and/or picture production. A location unit is attached to each tracked object. An object tracking device receives location information from each location unit. A camera control device controls, based upon the location information, at least one motorized camera to capture image data of at least one tracked object.

An image-stream windowing method includes capturing, with a camera located at a fixed position and having a fixed field of view, a high-resolution image stream of an object that moves during said capturing. The high-resolution image stream includes a sequence of high-resolution frames. The method also includes determining, for each high-resolution frame of the sequence of high-resolution frames, a respective window, of a sequence of windows corresponding to the sequence of high-resolution frames, that encloses the object within said each high-resolution frame. The size and location of the respective window are determined based at least on the fixed position, the fixed field of view, and a position of the object. The method also includes generating a low-resolution image stream from the high-resolution image stream by cropping said each high-resolution frame with its respective window.

A helmet configured to protect a human head against mild traumatic brain injury upon impact includes an outer shell and a liner consisting of fluid fillable flexible fluid chambers fluidly connected to each other by fluid connections. The fluid chambers being spaced around the circumference of the helmet and configured to fill a space between the head and the outer shell when the helmet is positioned on the head. Impact resistant flexible pads are also in the liner and are spaced around an inner circumference of the outer shell adjacent to each of the fluid fillable flexible fluid chambers. A flexible inner shell inside the liner is configured to fit closely on the head. The flexible fluid chambers are configured to compress in response to impacting of the helmet on an impact side and to force liquids through the fluid connections to inflate other fluid chambers inside the helmet thereby cushioning the head against a rebound impact on the inside of the helmet.

The systems and methods described herein are directed towards collecting and recording sensor data pertaining to physical contact experienced by players in a contact sport (e.g., football). The data can be collected and recorded through the use of one or more sensors worn by the player. In some cases, the sensor data can be associated with in-game video recordings of physical contact experienced by the players. Information about the physical contact can be displayed for users to view via a graphical user interface. Warnings may also be provided.

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.

Embodiments of golf gloves having a cut out portion and methods to manufacture gloves having a cut out portion are generally described herein. Other embodiments of gloves may be described and claimed.

A camera for facilitating autonomous picture production includes an imager for capturing an image stream, a signal processor for processing the image stream into a plurality of image data paths, at least one image stream output, and a memory for cyclically buffering images of at least two of the plurality of image data paths, into separate circular buffers, respectively, and for buffering one or more output image streams of the camera. A camera for facilitating autonomous picture production produces a standard resolution and rate image stream and a slow-motion image stream of an action of interest.

Embodiments of golf gloves having a cut out portion and methods to manufacture gloves having a cut out portion are generally described herein. Other embodiments of gloves may be described and claimed.

A method and a controller for tracking moving objects in an environment of an event, each moving object including an associated identity marking and different key portions. The controller receives images from a camera and identifies moving objects in the received images and separates these moving objects from a background of the environment, determines position coordinates of the associated identity markings and the different key portions of each moving object, receives a first and a second set of data points representing position coordinates in a field of view of a first and a second LIDAR device, wherein the field of view of the second LIDAR device is partly overlapping the field of view of the first LIDAR device, separates data points representing the moving objects from data points representing a background for each of the first and the second set of data points, calculates a weighted mean value for the position coordinates of the moving objects and reconstructs the position in the environment and the associated identity marking for the moving objects in a particular point of time.