However, the disclosure herein is not meant to be limiting as to the knowledge of a person of ordinary skill in the art. To the some extent, these technologies are disclosed and are expressly incorporated herein by reference to avoid duplication of prior art teachings. Therefore, as set forth below, and in the attached appendix of references (including abstracts), incorporated herein by reference, a significant number of references detail fundamental technologies which may be improved according to the present invention, or incorporated together to form a part of the present invention. Therefore, the present invention builds upon the prior art, which defines various problems to be addressed, intelligent systems and methods, tuning paradigms and user interfaces. Even once these factors are known, a substantial tuning effort may be necessary to enable acceptable operation. In fact, while the generic theory and systems which learn are well known, the application of such systems to particular problems requires both a detailed description of the problem, as well as knowledge of the input and output spaces. These systems are limited by the particular paradigm employed, and rarely are the learning algorithms general. Intelligent or learning systems are also known. Such systems, while embodying the “wisdom” of the designer, have a particular shortcoming in that their capabilities are static. In general, most existing systems and methods provide concrete functions, which have a defined response to a defined stimulus. The prior art is rich in various systems and methods for data analysis, as well as various systems and methods relating to useful endeavors.
KOEN PEETERS ISOAR APPLICATION PROFESSIONAL
More particularly, embodiments of the invention involve, for example, consumer electronics, personal computers, control systems, and professional assistance systems.
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The present invention relates to the field of adaptive systems, and more particularly systems and methods which are adaptive to a human user input and/or a data environment, as well as applications for such systems and methods. Patent and Trademark Office patent file or records, but otherwise reserves all copyright rights whatsoever. The copyright owner has no objection to the facsimile reproduction by anyone of this patent document or the patent disclosure, as it appears in the U.S. A portion of the disclosure of this patent document and appendices contain material which is subject to copyright protection. This patent application is related to U.S. 08/471,213 (Pending), each of which is expressly incorporated herein by reference. This patent application is a continuation-in-part of U.S.
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The system optionally includes an actuator for effecting the environment of operation, allowing closed-loop feedback operation and automated learning. Applications of the interface and system include a video cassette recorder (VCR), medical device, vehicle control system, audio device, environmental control system, securities trading terminal, and smart house. The data stream is subjected to adaptive pattern recognition to extract features of interest to provide a highly compressed representation that may be efficiently processed to determine correspondence. The system analyzes a data stream for correspondence with a data pattern for processing and storage. Also provided is a pattern recognition system for a multimedia device, wherein a user input is matched to a video stream on a conceptual basis, allowing inexact programming of a multimedia device. A predicted input is presented for confirmation by the user, and the predictive mechanism is updated based on this feedback. The apparatus receives an input from the user and other data. An adaptive interface for a programmable system, for predicting a desired user function, based on user history, as well as machine internal status and context.