Abstract: A method for use with a simulation includes running the simulation, receiving information from a control interface used by a user to interact with the simulation, analyzing the received information, forming at least an indication of the user's level of skill based on the analysis of the received information, and adjusting a difficulty level of the simulation based on the indication of the user's level of skill. A storage medium storing a computer program executable by a processor based system and an apparatus for use with a simulation are also disclosed.

Abstract: Methods and apparatus for cataloging and recognizing gestures are disclosed. A gesture may be detected using sample motion data. An energy value and baseline value may be computed. The baseline value may be updated if the energy value is below a calm energy threshold. The sample motion data may be adjusted based on the updated baseline value. A local variance may be calculated over a number of samples. Sample motion data values may be recorded if the local variance exceeds a threshold. Sample motion data recording may stop if a local variance scalar value falls below a drop threshold. Input Gestures may be recognized by computing a total variance for sample values in an Input Gesture; calculating a figure of merit using sample values from the Input Gesture and one or more Catalog Gestures; and determining whether the Input Gesture matches a Catalog Gesture from the figure of merit.