Abstract: A waterproof glove that glows in the dark and incorporates an integrated system of illumination devices is disclosed. The glove, to be worn on a user's hand is covered with covered with glow-in-the-dark painted polyurethane and incorporates integrated light-emitting-diodes (LEDs). A first housing is mounted on the exterior of the glove on the second knuckle of each finger and thumb containing an LED light, with a silver-painted reflector located in front of each LED. The glove includes a battery in a waterproofed housing that is connected by wires to an on/off switch that is also connected by wires to each of the LEDs. The pair of gloves may contain magnets on each wrist area to keep them from being separated when not in use. A second embodiment of the apparatus also includes decorative designs of various types made from polyurethane models on the back and/or on fingers of the glove.

Abstract: A mobile computer system and method for analyzing a runner's gait and selecting running shoes appropriate for the runner's gait. A mobile computer device with a video camera, user interface, and a processor coupled to a memory is presented to a user. A user records video of a runner's gait. A still frame that shows an anatomical joint in an evaluation position is selected. A simplified model of the anatomical joint is created. One or more shoes from a database of shoe profiles is selected according to the deviation of the simplified model from a physiological normal model. Consumer information regarding one or a plurality of the running shoes is displayed to the user. The user is enabled to purchase one or a plurality of the selected running shoes via e-commerce. Consumer and gait analysis information is shared with other computers via wireless or computer network.