Motorola Corporation

Sun Microsystems, Inc.

Motorla, Inc.

Kenneth J Guzik

John L Seybold

Ronjon Nag

Alan P Huff

Alan Paul Huff

John Lorne Seybold

Thomas W R Jacobs

Elton B Sherwin

Animesh Chatterjee

Farzad Ehsani

Liyang Zhou

Multiple selectable dictionaries are used by a handwriting recognition system to provide accurate and prompt recognition processing. Sets of the multiple dictionaries are selectable by the user or automatically by the recognition program in response to the user handwriting in predetermined fields on a user interface.

Handwriting recognition method and apparatus having multiple selectable dictionaries

A play to air controller station system in a distributed object television broadcast studio. In one embodiment, a play to air control workstation is used to control a variety of resources in a broadcast studio system interconnected by a communications network. The resources of the broadcast studio system include a transmitter unit, various media source devices such as tape decks and file servers, a network routers unit, and various decoders and encoders. The broadcast studio system is managed as a network distributed object system where an all physical devices are attached to the network either by containing appropriate software within themselves, or by attaching themselves to a computer proxy that is on the network and is able to control their functionality. The control system includes one or more device objects configured to store, route and transmit selected video segments to be aired from the television broadcast studio.

Play to air control workstation system in a distributed object television broadcast studio

Handwriting recognition method and apparatus having multiple selectable

An adaptive weighting handwriting recognition device and method compares information representing handwritten input with stored recognition data at least some of which has a weighting value associated therewith. The weighting values remains fixed during comparison of the handwritten input and stored recognition data and provide candidate recognition information, which can be further processed with user editing instructions to modify and correct the candidate recognition information. During user editing, the weighting values of the stored recognition data associated with the corrected candidate recognition information modified are varied to enhance the likelihood of correct future handwriting recognition.

Device and method for handwriting recognition with adaptive weighting of

The present invention provides a user with the option of editing handwritten input such that the user may elect to join or combine one or more discrete continuous segments, or blocks of ink, to form a single discrete continuous segment. The joined segments are then presented as a single discrete segment and analyzed as a single discrete segment by the method of machine recognition of handwritten input being employed by a device that functions to receive handwritten input.

Methods of splitting and joining handwritten input

The present invention provides a user with the option of editing handwritten input such that the user may elect to split one or more continues segments, or blocks of ink, to form one or more discrete continues segments. The split discrete segments are then presented as individual discrete continuous segments and analyzed as individual discrete segments by the method of machine recognition of handwritten input being employed by a device that functions to receive handwritten input.

Method of splitting handwritten input

The present invention provides a user with the option of editing handwritten input such that the user may elect to join or combine one or more discrete continous segments, or blocks of ink, to form a single discrete continous segement. The joined segments are then presented as a single discrete segment and analyzed as a single discrete segement by the method of machine recognition of handwritten input being employed by a device that functions to receive handwritten input.

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Santa Clara, CA, United States of America

Kenneth J Guzik