256 results about "Pattern recognition system" patented technology

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.

A system and method for analyzing and evaluating the performance and attitude of a motor vehicle driver. A raw data stream from a set of vehicle sensors is filtered to eliminate extraneous noise, and then parsed to convert the stream into a string of driving event primitives. The string of driving events is then processed by a pattern-recognition system to derive a sequence of higher-level driving maneuvers. Driving maneuvers include such familiar procedures as lane changing, passing, and turn and brake. Driving events and maneuvers are quantified by parameters developed from the sensor data. The parameters and timing of the maneuvers can be analyzed to determine skill and attitude factors for evaluating the driver's abilities and safety ratings. The rendering of the data into common driving-related concepts allows more accurate and meaningful analysis and evaluation than is possible with ordinary statistical threshold-based analysis.

A pattern recognition system and method are provided. Aspects of the invention are particularly useful in combination with multi-state Hidden Markov Models. Pattern recognition is effected by processing Hidden Markov Model Blocks. This block-processing allows the processor to perform more operations upon data while such data is in cache memory. By so increasing cache locality, aspects of the invention provide significantly improved pattern recognition speed.

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.

A word pattern recognition system based on a virtual keyboard layout combines handwriting recognition with a virtual, graphical, or on-screen keyboard to provide a text input method with relative ease of use. The system allows the user to input text quickly with little or no visual attention from the user. The system supports a very large vocabulary of gesture templates in a lexicon, including practically all words needed for a particular user. In addition, the system utilizes various techniques and methods to achieve reliable recognition of a very large gesture vocabulary. Further, the system provides feedback and display methods to help the user effectively use and learn shorthand gestures for words. Word patterns are recognized independent of gesture scale and location. The present system uses language rules to recognize and connect suffixes with a preceding word, allowing users to break complex words into easily remembered segments.

A word pattern recognition system improves text input entered via a shorthand-on-keyboard interface. A core lexicon comprises commonly used words in a language; an extended lexicon comprises words not included in the core lexicon. The system only directly outputs words from the core lexicon. Candidate words from the extended lexicon can be outputted and simultaneously admitted to the core lexicon upon user selection. A concatenation module enables a user to input parts of a long word separately. A compound word module combines two common shorter words whose concatenation forms a long word.

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 that may be efficiently processed to determine correspondence. 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 system optionally includes an actuator for effecting the environment of operation, allowing closed-loop feedback operation and automated learning.

A method and computer program product are disclosed for determining an optimal classifier model for a pattern recognition system and updating the determined model to recognize new output classes. An initial plurality of classifier models are selected from a set of generated classifier models. An optimal representative classifier for each classifier model is selected according to an iterative optimization routine. The representative classifier having the highest associated value for a fitness function is accepted.

A computer-implemented pattern recognition method, system and program product, the method comprising in one embodiment: creating electronically a linkage between a plurality of models within a classifier module within a pattern recognition system such that any one of said plurality of models may be selected as an active model in a recognition process; creating electronically a null hypothesis between at least one model of said plurality of linked models and at least a second model among said plurality of linked models; accumulating electronically evidence to accept or reject said null hypothesis until sufficient evidence is accumulated to reject said null hypothesis in favor of one of said plurality of linked models or until a stopping criterion is met; and transmitting at least a portion of the electronically accumulated evidence or a summary thereof to accept or reject said null hypothesis to a pattern classifier module.

The invention relates to an education system and an education method based on a virtual reality technology and a pattern recognition technology. The education system comprises a virtual reality course making module, an information management module and student interactive learning modules, wherein the virtual reality course making module runs in a virtual reality course making computer; the information management module runs in a cloud server; the information management module comprises a mode recognition system and a database; the database is used for storing all data of a virtual class and for storing characteristic information of students; the student interactive learning modules run in student computers; a student camera and a student microphone are arranged on each student computer; the student microphones are used for recording students' questions or students' answers to teachers' questions; and the student cameras are used for collecting students' gesture and face information. The system, which is capable of improving learning efficiency, is designed on the basis of the pattern recognition technology, and the system is capable of recording students' characteristics and analyzing and providing reasonable adjustment and targeted suggestions, so as to present better education to the students.

A method for incorporating dyslexia detection into existing handwriting pattern recognition software includes a database of distorted characters along with the database of legitimate characters with which the handwriting samples are compared. The distorted characters are those recognized as typical of those produced by dyslexic persons. The system used may be a personal computer, a personal digital assistant, or an Internet system. Whatever system is used, a means of freehand drawing must be included, such as a stylus with pressure sensitive drawing area, a drawing tablet, or pen-pad-type device. A character is first presented to the student for reproduction. The student then draws a character on the pad, attempting to reproduce the character. The system software detects a correspondence between the character input and the legitimate characters, when occurring. When the drawn character does not correspond to a legitimate character, but does correspond to one of the distorted character sets, the result is stored, and later reported.

An apparatus and method for detecting selected chemical compounds or elements is presented. A sensor array is exposed to one or more odors, for example. The outputs of the sensor constitute input to a pattern recognition system. Embodiments of the invention can also be trained for detecting odors in a soil column, for detecting odors associated with different varieties of food such as coffee beans, and for detecting odors associated with substantially any odorant.

The present invention provides a real-time three-dimensional pattern recognition imaging system having a variable focal length, a wide depth of field, a high depth resolution, a fast acquisition time, a variable magnification, a variable optical axis for tracking, and capability of compensating various optical distortions and aberrations, which enables pattern recognition systems to be more accurate as well as more robust to environmental variation. The imaging system for pattern recognition comprises one or more camera system, each of which has at least one micromirror array lens(MMAL), a two-dimensional image senor, and an image processing unit. A MMAL has unique features including a variable focal length, a variable optical axis, and a variable magnification.