Abstract: A method of predicting a composition of a meal includes obtaining data relating to concentration of a biomarker of an individual that consumed the meal, analyzing the data to determine the composition of the meal, wherein the analyzing comprises using a computational model. The computational model relies upon statistical learning techniques to breakdown meal composition into macronutrient levels.

Abstract: A method and apparatus for the detection, analysis, and identification of realistic human body and limb movements during sports actions for multiple uses comprises collecting the health information of the move, using the moves as a training and monitoring techniques in live usage settings, and as inputs to simulators and video game environments. At least one body-worn sensor transmits values wirelessly to a computing device that records the moves and calculates the health statistics then uses a machine-learning algorithm to analyze and identify the moves. These algorithms then output information and can simulate realistic moves, identify how far from these realistic moves the actual move is, and apply these moves to an electronic game. These algorithms, through various techniques, can distinguish movements, identify many different fine-grain movements, and enforce the full completion of these moves before registering them, thus preventing cheating in a realistic gaming scenario.

Abstract: An exercise gaming system includes a motion-detect device including a plurality of sensors configured to monitor movement of the motion-detect device during a user motion, and a first processor configured to receive input data from the plurality of sensors and provide information related to the data for transmission via a first wireless communication interface. The exercise gaming system further includes a computing device including a second wireless communication interface configured to receive information transmitted from the motion-detect device, a second processor configured to compare the received information to data stored in a memory and identify the user motion as a predefined movement, and a display configured to visually provide feedback related to the identified predefined movement.

Abstract: An instrument gathers and processes data from one or more capture devices. The data can thereafter be processed using one or more classification techniques to properly detect and/or reproduce motions for an application. The present invention can be used both outdoors and indoors.