Ergonomic man-machine interface incorporating adaptive pattern recognition based control system
First Claim
1. A method for classifying image data comprising the steps of:
- providing a plurality of object-related models;
creating, from the image data, a plurality of accessible mapped ranges corresponding to different subsets of the image data;
assigning at least one identifier to corresponding ones of the mapped ranges, each of the identifiers specifying for the corresponding mapped range a procedure and a corresponding subset of the image data;
executing, for a plurality of the mapped ranges, a corresponding procedure upon a subset of the image data which corresponds to the mapped ranges;
selecting at least one of the mapped ranges corresponding to a portion of the image data;
representing the image data as a set of the identifiers of the selected mapped ranges; and
determining a class relations of the representation of the image data as a set of identfiers of the selected mapped ranges with at least one of said plurality of models based on an image-to-model correspondence.
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Abstract
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. The apparatus receives an input from the user and other data. A predicted input is presented for confirmation by the user, and the predictive mechanism is updated based on this feedback. 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. The system analyzes a data stream for correspondence with a data pattern for processing and storage. The data stream is subjected to adaptive pattern recognition to extract features of interest to provide a highly compressed representation which may be efficiently processed to determine correspondence. Applications of the interface and system include a VCR, medical device, vehicle control system, audio device, environmental control system, securities trading terminal, and smart house. The system optionally includes an actuator for effecting the environment of operation, allowing closed-loop feedback operation and automated learning.
600 Citations
21 Claims
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1. A method for classifying image data comprising the steps of:
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providing a plurality of object-related models; creating, from the image data, a plurality of accessible mapped ranges corresponding to different subsets of the image data; assigning at least one identifier to corresponding ones of the mapped ranges, each of the identifiers specifying for the corresponding mapped range a procedure and a corresponding subset of the image data; executing, for a plurality of the mapped ranges, a corresponding procedure upon a subset of the image data which corresponds to the mapped ranges; selecting at least one of the mapped ranges corresponding to a portion of the image data; representing the image data as a set of the identifiers of the selected mapped ranges; and determining a class relations of the representation of the image data as a set of identfiers of the selected mapped ranges with at least one of said plurality of models based on an image-to-model correspondence. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. An apparatus for automatically recognizing digital image data consisting of image information, comprising:
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means for storing object-related template data; means for storing the image data; means for generating a plurality of addressable domains from the stored image data, the domains representing different portions of the image information; means for creating, from the stored image data, a plurality of addressable mapped ranges corresponding to different subsets of the stored image data, the creating means including means for executing, for each of the mapped ranges, a procedure upon a subset of the stored image data which corresponds to the mapped range; means for assigning identifiers to corresponding ones of the mapped ranges, each of the identifiers specifying for the corresponding mapped range an address of the corresponding subset of stored image data; means for selecting, for each of the domnains, at least one of the mapped ranges which most closely corresponds according to predetermined criteria; means for representing at least a portion of the image information as a set of the identifiers of the selected mapped ranges; and means for selecting, from the stored templates, a template which most closely corresponds to the set of identifiers representing the portion of the image information.
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10. A method of selectively processing an image having a dimensionality, comprising te steps of:
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providing information relating to a plurality of exemplars, said information relating to each exemplar having a dimensionality differing from the dimensionality of the image and including infornation representing at least one additional dimension; inputting an electronic representation of an image containing a representation of at least one physical object; preprocessing the electronic representation of the image to distinguish a representation of at least one object in the image; processing the distinguished object represented in the image to reduce a storage requirement of the distinguished representation of the object while retaining morphological information describing the distinguished representation of the object; further processing the processed distinguished representation of the object in conjunction with a plurality of exemplars to produce a comparison; and selectively producing an output signal based on said comparison. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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18. An apparatus for selectively processing a received electronic representation of an image, having dimensionality and containing representation of at least one physical object, comprising:
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means for storing information relating to a plurality of exemplars, said information relating to each exemplar having a dimensionality differing from the dimensionality of the image and including information representing at least one additional dimension; means for distinguishing a representation of at least one object in the electronic representation of the image; means for reducing a storage requirement of the distinguished representation of the object in the image while retaining morphological information describing the distinguished object; and means for producing a comparison based on the processed distinguished representation of the object to information relating to a plurality of said exemplars, by processing said information relating to said exemplars in conjunction with said distinguished representation of the object, producing an output signal relating to said comparison. - View Dependent Claims (19, 20, 21)
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Specification