摘要:
A method and system for recognizing a graphic object's shape, line style, and fill pattern in a pen environment are provided. In a preferred embodiment, a user draws a graphic object on an electronic tablet of a computer system. The graphic object comprises a shape attribute, a line style attribute, and a fill pattern attribute. A Recognizer, recognizes the graphic object. The graphic object is made up of a plurality of data points, each data point having an x-coordinate and a y-coordinate. The Recognizer subdivides the plurality of data points into one or more strokes, each stroke representative of a path travelled by the handwriting instrument after the handwriting instrument touches the tablet and before the handwriting instrument is lifted off of the tablet. For each data point in each stroke, the recognizer maps the data point to a normalized data point, then transforms the normalized data point into a transformed data point, and then determines whether the transformed data point is a shape-defining data point or an interior-defining data point. Shape-defining data points are representative of the shape attribute and the line style attribute, while the interior-defining data points are representative of the fill pattern attribute. Based on the coordinates of the transformed data points and the coordinates of the data points, the recognizer determines the attributes. After determining the attributes of the graphic object, the recognizer selects a representation of the graphic object that corresponds to the determined attributes and displays the representation on the electronic tablet.
摘要:
A method and system for training a handwriting recognizer at the time of misrecognition is provided. In a preferred embodiment, a trainer program traps and stores the output from a recognizer. The output includes the recognized symbols mapped to the handwritten data. When training is requested by a user, the trainer displays the handwritten data that was input by the user and the recognized symbols. The user then selects the symbols to train on. In response to the selection, the trainer displays the portion of the handwritten data corresponding to the selected symbols. The user then enters the symbols that the displayed portion of the handwritten data should be recognized as. The trainer then requests the recognizer to train based on the displayed portion of the data and the entered symbols. When training is complete, the trainer requests re-recognition of the handwritten data and displays the newly recognized symbols.
摘要:
A method and system for recognizing a graphic object's shape, line style, and fill pattern in a pen environment are provided. In a preferred embodiment, a user draws a graphic object on an electronic tablet of a computer system. The graphic object comprises a shape attribute, a line style attribute, and a fill pattern attribute. A Recognizer, provided by the present invention, recognizes the graphic object drawn by the user. The graphic object drawn by the user is made up of a plurality of data points, each data point having an x-coordinate and a y-coordinate. The Recognizer subdivides the plurality of data points into one or more strokes, each stroke representative of a path travelled by the handwriting instrument after the handwriting instrument touches the electronic tablet and before the handwriting instrument is lifted off of the electronic tablet. For each data point in each stroke, the recognizer maps the data point to a normalized data point, then transforms the normalized data point into a transformed data point, and then determines whether the transformed data point is a shape-defining data point or an interior-defining data point. Shape-defining data points are representative of the shape attribute and the line style attribute, while the interior-defining data points are representative of the fill pattern attribute. Based on the coordinates of the transformed data points and the coordinates of the data points input by the user, the recognizer determines the attributes. After determining what the attributes of the graphic object are, the recognizer selects a representation of the graphic object that corresponds to the determined attributes and displays the selected representation on the electronic tablet.
摘要:
A computerized tablature composer automatically updates a tablature notation following edits of a corresponding staff notation. The computerized tablature composer conversely links edits to a tablature notation with corresponding updates in a staff notation for a corresponding musical score. The computerized tablature composer ensures vertical alignment between corresponding notes in a staff notation and a tablature notation. The computerized tablature composer ensures that the actual played notes in both musical representations are aligned so that the musician knows which note in the staff notation corresponds to which note in the tablature notation. The computerized tablature composer further allows the coupling between tablature and conventional staff notation to be de-coupled upon request. The computerized tablature composer provides a musician with alternate fret locations for the notes in a musical work when the musician indicates an alternate string for a given note. The computerized tablature composer provides a virtual tuning peg that allows a musician to use non-standard tunings by changing the fret numbers in the tablature notation to reflect new tuning data for one or more strings represented by the tablature notation.
摘要:
A method and system for training a handwriting recognizer at the time of misrecognition is provided. In a preferred embodiment, a trainer program traps and stores the output from a recognizer. The output includes the recognized symbols mapped to the handwritten data. When training is requested by a user, the trainer displays the handwritten data that was input by the user and the recognized symbols. The user then selects the symbols to train on. In response to the selection, the trainer displays the portion of the handwritten data corresponding to the selected symbols. The user then enters the symbols that the displayed portion of the handwritten data should be recognized as. The trainer then requests the recognizer to train based on the displayed portion of the data and the entered symbols. When training is complete, the trainer requests re-recognition of the handwritten data and displays the newly recognized symbols.