596results about How to "Accurate modeling" patented technology

Force effects for a graphical user interface of a computer are provided based on user preference information, which indicates the types of graphical objects in the graphical user interface which are to have force effects associated with them, and at least one particular force effect assigned to each of those types of graphical objects. An output of a force sensation by a haptic feedback device to the user is based on those assigned force effects and occurs when a displayed cursor controlled by a user interacts with a graphical object having one of the types. An architecture for a host computer allowing multi-tasking application programs to interface with a feedback device is also disclosed.

Estimating a response to a token instance of interest, including the steps of: receiving token instances to which a user was exposed, receiving a total response of the user to the token instances; receiving attention levels of the user in the token instances; selecting the token instance of interest from among the token instances based on the attention level; and estimating the response to the token instance of interest from the total response.

Methods and apparatus, including computer program products, for measuring the performance of aspects of a complex data processing system. In one aspect, a method uses a dynamic synthetic benchmark to provide performance information for a program application running on a virtual machine. The benchmark in one implementation uses a load profile that includes information about instructions that make up the application, their call frequencies, and their workloads. Microbenchmarks of individual virtual machine instructions provide performance information about the virtual machine that is used with the load profile to synthesize a performance benchmark for the application.

Relatively powerful hand-held computing devices, Digital Signal Processors, Audio signal processing technology, voice recognition technology, expert systems, Hidden Markov Models, and / or neural networks are employed in a device capable of real-time automated species identification by listening to bird vocalizations in the field, analyzing their waveforms, and comparing these waveforms against known reference samples. An apparatus for identifying animal species from their vocalizations, comprises a source of digital signal representative of at least one animal candidate vocalization; a feature extractor that receives the digital signal, recognizes notes therein and extracts phrases including plural notes and that produces a parametric representation of the extracted phrases; and a comparison engine that receives the parametric representation of at least one of the digital signal and the extracted phrases, and produces an output signal representing information about the animal candidate based on a likely match between the animal candidate vocalization and known animal vocalizations. A computer-implemented method of identifying animal species, comprises: obtaining a digital signal representing a vocalization by a candidate animal; transforming the digital signal into a parametric representation thereof; extracting from the parametric representation a sequence of notes defining a phrase; comparing the phrase to phrases known to be produced by a plurality of possible animal species; and identifying a most likely match for the vocalization by the candidate animal based upon the comparison. The comparison engine or comparison function may use Hidden Markov Models, expert systems and / or neural networks.