Abstract: A machine implemented method for simulated sports training includes the steps displaying a simulated environment having one or more virtual objects of a sporting event; displaying to a user a moving object in the simulated environment in accordance with object path data representing an object path and conditions of motion of the moving object as a function of time; correlating soundscape data to the object path data, the soundscape data being dependent on both object path of the moving object in the object path and the conditions of motion; and outputting sound to the user based on the correlated soundscape data either before or during displaying to the user the moving object, thereby providing spatial auditory clues for assisting tracking eye movements of the user to train the user to anticipate or recognize a trajectory of the moving object.

Abstract: A machine implemented method for simulated sports training includes the steps displaying a simulated environment having one or more virtual objects of a sporting event; displaying to a user a moving object in the simulated environment in accordance with object path data representing an object path and conditions of motion of the moving object as a function of time; correlating soundscape data to the object path data, the soundscape data being dependent on both object path of the moving object in the object path and the conditions of motion; and outputting sound to the user based on the correlated soundscape data either before or during displaying to the user the moving object, thereby providing spatial auditory clues for assisting tracking eye movements of the user to train the user to anticipate or recognize a trajectory of the moving object.

Abstract: A machine implemented method for simulated sports training includes the steps displaying a simulated environment having one or more virtual objects of a sporting event; displaying to a user a moving object in the simulated environment in accordance with object path data representing an object path and conditions of motion of the moving object as a function of time; correlating soundscape data to the object path data, the soundscape data being dependent on both object path of the moving object in the object path and the conditions of motion; and outputting sound to the user based on the correlated soundscape data either before or during displaying to the user the moving object, thereby providing spatial auditory clues for assisting tracking eye movements of the user to train the user to anticipate or recognize a trajectory of the moving object.

Abstract: A self-stabilized, levitating MEMS (Micro Electro-Mechanical Systems) resonator is provided for detection of magnetic resonance spectra of electrons and nuclei in magnetic resonance force microscopy (MRFM) measurements. The present MRFM system includes a levitating micro-disk having electrically-controlled force sensitivity. To achieve imaging on the scale of a single nuclear spin, the force sensitivity of the measurement must be on the order of 1 aN (atto-Newton) or less. For about a 1 aN force to produce deflections comparable to an angstrom for interferometer detection, the stiffness or spring constant (k) of the resonator will typically be less than 1 ?N/m (micro-Newtons per meter). Since the resonator is to be driven with an oscillating force at its resonance, there is a quality-factor (Q) enhancement of the amplitude of the motion. As a result, the k/Q ratio is preferably less than 1×10?8 N/m and is achievable with the contemplated levitating micro-disk resonator.