4866 results about "Handwriting" patented technology

Systems and methods enhance editing capabilities associated with a wide variety of different types of electronic documents. Such systems and methods may include a processor that maintains an electronic document having a first portion (e.g., an individual word, character, character string, or the like) provided by a recognizer (e.g., by handwriting or speech recognition software), and they may provide access to potential alternative characters, words, or character strings generated by the recognizer during various user editing functions and operations. Other data associated with the first portion of the document also may be stored and made available to the user during various functions and operations. This invention further relates to computer-readable media including instructions for performing various methods and/or operating various systems for editing electronic documents, including systems and methods like those described above.

Certain disclosed methods and systems perform multiple different types of message recognition using a shared language model. Message recognition of a first type is performed responsive to a first type of message input (e.g., speech), to provide text data in accordance with both the shared language model and a first model specific to the first type of message recognition (e.g., an acoustic model). Message recognition of a second type is performed responsive to a second type of message input (e.g., handwriting), to provide text data in accordance with both the shared language model and a second model specific to the second type of message recognition (e.g., a model that determines basic units of handwriting conveyed by freehand input). Accuracy of both such message recognizers can be improved by user correction of misrecognition by either one of them. Numerous other methods and systems are also disclosed.

A character input apparatus, includes a detection unit configured to detect coordinate data of handwriting, a handwriting display unit configured to sequentially display styled handwriting obtained by styling the handwriting during handwriting operation in accordance with a designated text style and the coordinate data, a recognition unit configured to recognize a character corresponding to the handwriting, and a character display unit configured to display a styled character obtained by styling the recognized character in accordance with the text style and the coordinate data.

The Physician To Patient (P2P) network system, a private & secure infrastructure for independently practicing physicians and patients for real-time electronic communication & transfer of patient health information is disclosed by the invention. The invention also discloses an efficient and natural method for creation of Electronic Medical Records by physicians in their own handwriting. The P2P network system utilizes a plurality of devices and components defined by the invention, and custom programming to integrate all equipment, devices and components of the network system. The invention also discloses a highly targeted method of advertising, the One2One Advertising, for healthcare product manufacturers to reach physicians and patients. A number of healthcare related business processes, currently executed manually are performed automatically by P2P network system software. The invention will improve the quality of services to patients, and reduce the overhead cost of the medical offices, and the healthcare industry.

A user can enter handwritten electronic ink into a writing guide on an electronic page of an electronic tablet. An ink processing module can display the handwritten electronic ink as it is rendered on the electronic page by the user. Upon the occurrence of a predefined event, the writing guide module can automatically recognize and convert the electronic ink to text without the user's manual intervention. The writing guide module can replace the electronic ink in the writing guide with the converted text.

A method for incremental recognition of ideographic handwriting comprises in order the steps of: (1) entering in a natural stroke order at least one stroke of an ideographic character from a computer entry tablet; (2) providing the at least one stroke to an incremental character recognizer, which produces a hypothesis list of at least one candidate character; (3) displaying a hypothesis list of candidate characters containing the at least one stroke; (4) selecting a correct character from among the candidate characters on the hypothesis list if it a correct character appears thereon; (5) entering in natural stroke order at least one additional stroke of the ideographic character from the computer entry tablet if no candidate character is a correct character; (6) providing the additional stroke(s) to the incremental character recognizer, which produces an updated hypothesis list; (7) displaying the updated hypothesis list of candidate characters containing every stroke; (8) selecting a correct character from among the candidate characters on the updated hypothesis list if it a correct character appears thereon; and (9) repeating steps (5) through (8) until a correct character is selected from the updated hypothesis list.

A “Natural Language Script Interface” (NLSI), provides an interface and query system for automatically interpreting natural language inputs to select, execute, and/or otherwise present one or more scripts or other code to the user for further user interaction. In other words, the NLSI manages a pool of scripts or code, available from one or more local and/or remote sources, as a function of the user's natural language inputs. The NLSI operates either as a standalone application, or as a component integrated into existing applications. Natural language inputs may be received from a variety of sources, and include, for example, computer-based text or voice input, handwriting or text recognition, or any other human or machine-readable input from one or more local or remote sources. In various embodiments, machine learning techniques are used to improve script selection and processing as a function of observed user interaction with selected scripts.

Wireless input device apparatus allows a user to input data into cellular phones, personal digital assistant, TVs and computers . . . The user holds a wireless stylus and performs movements corresponding to graffiti. In the preferred embodiment, graffiti refers to PalmPilot graffiti. The wireless stylus identifies the user symbols and wirelessly sends them to a terminal device. In the preferred embodiment, the wireless stylus uses a BlueTooth transmitter for connecting and sending data to terminal devices, thus, the wireless stylus can be used for inputting data into any BlueTooth compliant system. In another embodiment, the wireless stylus sends the raw accelerometer data to a terminal device, which identifies the user symbols.

System and methods for visually displaying page information in a handwriting recording device such as a personal digital notepad (PDN) device, in which constraints exist which limit the size of a user interface display (e.g. LCD). Various methods allow a user to view detailed page information by selecting one or more available display modes which display the selected information using one or more dynamic icons. In addition, the user can view (via the display) selected portions of handwriting content of a given electronic page, thereby affording the user the opportunity to synchronize the stored handwriting data with the handwritten text.

A game apparatus includes a CPU core. In response to a setting of a reverse input mode, the CPU core reverses vertically and horizontally BG/OBJ data corresponding to a question, and displays on an LCD an image based on the reversed BG/OBJ data. When a handwriting input operation associated with the image is accepted by a touch panel, the CPU core displays on the LCD an image based on handwriting input data corresponding to the accepted handwriting input operation.

An editing mode is designated from among a plurality of editing modes available for input of handwriting. An executed position is acquired at a location on the display screen at which a particular handwriting operation is performed. A mode image, which represents the editing mode designated at a time the particular handwriting operation is performed, is temporarily displayed near the executed position.

A capacitive touchpad integrated with key and handwriting functions is provided for operation in key, handwriting and mouse modes. Several regions are defined on the panel of the touchpad and have several patterns printed thereon for the operation modes thereby. In the key mode, the key patterns among the printed patterns simulate a keyboard. In the handwriting mode, the handwriting region among the defined regions serves to handwriting input. In the mouse mode, the defined regions provide a cursor moving region and a horizontal and vertical scroll bars for input operations.

A mobile terminal is disclosed. The mobile terminal, if a memo-writing function is activated during video play, assigns at least one part of a touchscreen as an area for handwriting inputs while displaying a video on the touchscreen and obtains a first play timing corresponding to a memo-start time; and if a memo-saving function is carried out, obtains a second play timing which corresponds to the memo-saving time and stores a memo generated based on handwriting inputs received through the handwriting input area in association with the video by reflecting at least one of the first and the second play timing.

A Micro Inertial Measurement Unit (IMU) which is based on MEMS accelerometers and gyro sensors is developed for real-time recognition of human hand motions, especially as used in the context of writing on a surface. Motion is recorded by a rate gyro and an accellerometer and communicated to a Bluetooth module, possibly to a computer which may be 20 to 30 feet or more from the sensor. The motion information generated and communicated is combined with appropriate filtering and transformation algorithms to facilitate a complete Digital Writing System that can be used to record handwriting on any surface, or on no surface at all. The overall size of an IMU can be less than 26 mm×20 mm×20 mm, and may include micro sensors, a processor, and wireless interface components. The Kalman filtering algorithm is preferably used to filter the noise of sensors to allow successful transformance of hand motions into recognizable and recordable English characters. The immediate advantage is the facilitation of a digital interface with both PC and mobile computing devices and perhaps to enable wireless sensing.