Abstract: Some embodiments provide methods, systems and apparatuses for use in displaying and/or distributing heterogeneous applications or applications for heterogeneous platforms. Some of these methods, systems and apparatus include steps or components for storing heterogeneous applications, determining compatibility for each of the stored applications via a remote processing system, and presenting to a consumer via the remote processing system only those applications that are compatible with a target processing system.

Abstract: A method and apparatus for creating a flexible display for a user interface device is disclosed. In some embodiments, the method includes processing graphical icon information for the user interface device, wherein each graphical icon corresponds with at least one operation on the user interface device, coupling the graphical icon information with gravity information, wherein the each graphical icon maps to at least one gravitational attribute, wherein the at least one gravitational attribute corresponds with motion of the graphical icon relative to the user interface device and in response to an orientation change of the user interface device, generating the each graphical icon at a position determined by the at least one gravitational attribute.

Abstract: A system and method for effectively selecting functions in an electronic device includes a command database that is created for storing device commands that include specifically-defined patterns and corresponding respective device functions. Appropriate pattern input means may be utilized for detecting the patterns that are input by device users. A command manager utilizes the recognized patterns to identify corresponding device functions from the command database. The electronic device may then execute the identified device functions.

Abstract: A natural language interface control system for operating a plurality of devices consists of a first microphone array, a feature extraction module coupled to the first microphone array, and a speech recognition module coupled to the feature extraction module, wherein the speech recognition module utilizes hidden Markov models. The system also comprises a natural language interface module coupled to the speech recognition module and a device interface coupled to the natural language interface module, wherein the natural language interface module is for operating a plurality of devices coupled to the device interface based upon non-prompted, open-ended natural language requests from a user.

Abstract: A child's wireless telephone periodically transmits its GPS position to a Web server that a parent can access. The child's position can be plotted on a map so the parent can view where the child is. The map can show approved areas and/or excluded areas, and an automatic alert can be sent to the parent using, e.g., SMS in the event that the child strays out of the approved areas.

Abstract: A technique is provided for updating speech models for speech recognition by identifying, from a class of users, speech data for a predetermined set of utterances that differ from a set of stored speech models by at least a predetermined amount. The identified speech data for similar utterances from the class of users is collected and used to correct the set of stored speech models. As a result, the corrected speech models are a closer match to the utterances than were the set of stored speech models. The set of speech models are subsequently updated with the corrected speech models to provide improved speech recognition of utterances from the class of users. For example, the corrected speech models may be processed and stored at a central database and returned, via a suitable communications channel (e.g. the Internet) to individual user sites to update the speech recognition apparatus at those sites.

Abstract: A technique is provided for updating speech models for speech recognition by identifying, from a class of users, speech data for a predetermined set of utterances that differ from a set of stored speech models by at least a predetermined amount. The identified speech data for similar utterances from the class of users is collected and used to correct the set of stored speech models. As a result, the corrected speech models are a closer match to the utterances than were the set of stored speech models. The set of speech models are subsequently updated with the corrected speech models to provide improved speech recognition of utterances from the class of users. For example, the corrected speech models may be processed and stored at a central database and returned, via a suitable communications channel (e.g. the Internet) to individual user sites to update the speech recognition apparatus at those sites.