1. Technical Field
This invention relates generally to input devices. More particularly, the invention relates to a directional input system with automatic correction.
2. Description of Related Arts
To operate a computing device, such as a computer, one or more input devices must be connected thereto. Since the early days of the computing age, the keyboard has been the primary input device for users to input textual messages into to computing devices. The textual messages may be commands for the computers to execute, or just plain data entry if he's using a keyboard as an input device. However, the user must memorize the correct spelling and syntax of computer commands. Even if the user has memorized the correct spelling, the input of data with keyboard itself can be error prone. Hence, a graphical user interface (GUI) has been developed for computing devices to reduce the use of keyboard. In a GUI, the user operates an alternative input device, such as a mouse, trackball, or joystick, to move around a cursor or pointer on the display. Once the cursor is moved to the desired position, a button is pressed and released, and a corresponding computer command is thus executed. Although a GUI provides an alternative way to invoke computer commands, the keyboard continues to serve as the primary text entry input device for computing devices.
Nevertheless, there are situations such as in console video-game machines or hand held devices with a joystick or joystub, where a traditional keyboard is neither available nor convenient. Currently, the text entry method for these systems usually consists of scrolling through an alphabet or on-screen QWERTY keyboard. Another commonly adopted navigation means in video-game machines provides users with a pie menu, which is a circular menu that allows users choose items by dragging the pointing device in the direction of the menu item. To input a word, the user must select each letter by scrolling through an alphabet list, navigating through the pie menu, or locating it on the on-screen keyboard and click a selection button after each letter is located.
The above text entry method has numerous disadvantages. For example: the method is inefficient because the user has to spend time in locating the letter and confirming the letter; the method is inconvenient because it breaks the normal typing flow when inserting clicks between letter selections; and the method is ineffective because the user could easily mistake an adjacent letter for the limited size of the on-screen keyboard.
What is desired is an effective text entry input system using a directional input means such as a joystick or trackball device. It is further desired that the text entry input system is intuitive and easy to operate. It is still further desired that the text entry input system can provide auto-correction of input mistakes.
The invention provides a directional input system associated with a text entry application, such as email or instant messaging. The system comprises an optional onscreen representation of a circular keyboard, a list of potential linguistic object matches, and a message area where the selected words are entered. The circular keyboard is manipulated via a hardware joystick or game-pad having an analog joystick or omni-directional rocker switch built therein. The user points the joystick in the general direction of the desired letter, and then continues pointing roughly to each letter in the desired word. Once all letters have been roughly selected, buttons or equivalent means are used to select a specific word from the list of potential matches and to send the selected word to the message area.
In one preferred embodiment, the invention provides a text entry input system which includes: (1) a directional selection means, plus one or more buttons or equivalent user input means; (2) a list of linguistic objects, organized by frequency of use; (3) an output device with a text display area; and (4) a processor which includes an object search engine, a distance or angular value calculation module, word module for evaluating and ordering words, and a selection component.
The directional selection means is used to point in the direction of each letter of a word. The processor calculates a distance or an angle to find letters and weight values for the letters in the pointing direction with the distance or the angle calculation module, retrieves a predicted list of words based on the letters and weight values with the object search engine, and evaluates and orders the predicted list of words with the word module. The selection component is used to select a desired word from the predicted list of words.
In another preferred embodiment, the invention provides a text entry input method using a directional selection means. The method includes the steps of:
The invention provides a directional input system associated with a text entry application, such as email or instant messaging. The system includes an optional onscreen representation of a circular keyboard, a list of potential linguistic object matches, and a message area where the selected words are entered. The circular keyboard is manipulated via a hardware joystick or game-pad having an analog joystick or omni-directional rocker switch built therein. The user points the joystick in the general direction of the desired letter, and then continues pointing roughly to each letter in the desired word. Once all letters have been roughly selected, buttons or equivalent means are used to select a specific word from the list of potential matches and send the selected word to the message area.
System Construction and Basic Operation
The joystick 110 serves as a directional selection input device, which provides a possibility of directional input with a sufficient precision, preferably 10° or more precise. It is preferable that the default position of the cursor, if it is shown, is at the center of the circle of letters. It is possible to use a joystick device to navigate in two dimensions an on-screen “QWERTY” or “ABC” keyboard, either in the standard rectangular form or in a circular layout. It is also possible to navigate through multiple concentric rings of characters. It is the goal of this invention, however, to depend only on the joystick in its center/resting position and its non-centered (or perimeter) positions, i.e. using the radial direction rather than the specific degree of tilt.
As soon as a direction has been established by some degree of tilt from the center, the input may be registered and recorded. It may still be beneficial to the user, however, to allow the direction to be altered slightly before recording it. Therefore, the last effective direction is only recorded after the joystick is returned to its resting position in the preferred embodiment of the invention.
Although analog joystick is described as the preferred directional selection device, any input device that provides the possibility of directional input with a sufficient precision can be used. For examples: omni-directional rocker switch, thumbstick, e.g. IBM TrackPoint™, touchpad, touchscreen, touchscreen and stylus combination, trackball, eye tracking device, trapped-disk sliding switch, steering wheel, Apple iPod™ Navigation Wheel, or Sony's Jog-dial and data glove, e.g. old Nintendo Game Glove, can be used as alternative.
The joystick input device preferably has eight buttons. However, it may only have one button, or any other number of buttons. Note that the stick itself does not usually have that many buttons despite the fact that the joystick base or enclosing game controller may have. A 4-way directional hat switch or jog-dial may be used to support multiple functions, both for character input and for secondary navigation. In addition, a joystick may be pressed straight down (z-axis) to provide an additional button.
These buttons provide a mechanism for explicit commands to the system. One of the buttons may invoke a menu which contains additional commands. Another button may change the set of characters which may be selected via the directional input.
In an alternate embodiment, a second joystick or omni directional rocker switch is used to invoke some of the explicit commands of the system. For example, tilting the joystick up and down scrolls through the word choices and tilting it to the right extends the current word with a choice of suffixes.
The linguistic objects that are stored in the vocabulary module 150 include but not limit to: words, phrases, abbreviations, chat slang, emoticons, user IDs, URLs, non-English (such as Chinese or Japanese) characters. Although words are used in the preferred embodiments, any other linguistic objects are equally applicable. Similarly, although the term “letter” or “character” is used in the preferred embodiment, other sub-word components from Non-English languages, e.g. strokes, radicals/components, jamos, kana, plus punctuation symbols and digits, are equally applicable.
The list of predicted words is ordered in accordance with a linguistic model, which may include one or more of: frequency of occurrence of a word in formal or conversational written text; frequency of occurrence of a word when following a preceding word or words; proper or common grammar of the surrounding sentence; application context of current word entry; and recency of use or repeated use of the word by the user or within an application program.
The on-screen keyboard area can take a variety of shapes, including but not limited to circle, square, oval and polygon with any number of sides. The visual representation is typically, but not limited to, a two-dimensional plane figure.
The on-screen keyboard 130 may be enhanced by, or even replaced with, a set of compass point letters, which are ‘A’, ‘H’, ‘N’ and ‘U’. Compass point letters can be placed in a separate compass area on screen as shown in
The letters in the on-screen keyboard 130 can be arranged in any order or orientation. In the preferred layout as shown in
Likewise, the digits can be arranged in any order or orientation. In the preferred embodiment as shown in
The on-screen keyboard 130 may include letters of a primary input language, letters of alternate input languages (and/or accented letters), digits, and punctuation symbols. The keyboard may also include character components for pictographic languages, diacritics and other “zero-width” characters that attach to preceding characters. The keyboard may further include tone marks, bi-directional characters, functions indicated by a word or symbol, and symbolic representation of a set of characters such as “Smart Punctuation” as described below.
The preferred primary text input keyboard as shown in
There may be auditory and/or visual feedback on each joystick movement or button press. For example, as soon as the joystick direction is registered, a solid or gradient-fill pie wedge shape could appear on the keyboard, centered on the current direction of tilt. Further, the width of that pie wedge could narrow in proportion to the tilt of the joystick towards the perimeter. The pie wedge could remain momentarily after the joystick is returned to its center/resting position. The pie wedge provides a visual cue that the tilt of the joystick was registered and reinforces the notion that each action represents a range of possible letters.
Referring back to
The most likely word is a default word. The user can either accept the default word with one action, or select an alternate word with a combination of actions.
The exact spelling sequence of exact characters coincidentally selected by the user is also displayed. Preferably, the spelling sequence is displayed in a separate area above or below the word choice list. Alternatively, it may be displayed as an entry in the word choice list, typically the first line or the last line. In
The last letter entered is also indicated both on the on-screen keyboard and in the exact spell sequence, by some method including but not limited to font change, color change, reverse video or alternate background color, underline, bold face or italics, and outline. Example of outline can be a box or a circle.
All the words on the word choice list, other than the exact spelling sequence at the time when the exact spelling sequence is displayed as the first or last entry, are ordered by a combination of the shortest calculated distances between the joystick entry sequence and each letter in each word and the recency of use and/or the frequency of use within the given language.
The directional input system 100 implements a method whereby the user can select a specific word from the word choice list. Preferably, the method is consistent with other applications use of scrolling methods and selection button. The system also includes a means of selecting the exact spelling sequence as well as any predicted words. In one preferred embodiment, the system may include a next button and a previous button, with which the user can navigate forward and backward through the word choice list.
Alternatively, the directional input system 100 may include a selection mode switch button. When the selection mode switch button is pressed, the system enters a selection mode and the directional input means can be used to scroll forward and backward through the word choice list.
In addition, selecting a predicted word using a particular means may replace the exact spelling sequence as if the letters of the selected word had been entered directly by the user, and a new list of predicted words is generated.
The most likely word is the word added if the user does not try to select a different word. The default word may be a copy of the exact spelling sequence if the user was accurate. Alternatively, it may be the selected word as described above. In addition, the exact spelling sequence may become the default word if a precision method or mode (described below) is used to explicitly choose at least one letter in the sequence.
Words that are longer than the number of joystick actions registered in the current entry sequence may be included in the prediction list. Alternately, a further means can be provided to extend a selected word with completions. For example, longer words that begin with a selected word may appear on a pop-up list after a button press or directional input, similar to the cascading menus on PC windowing systems.
Once a word is entered, the word is typically displayed in the message area 220.
Alternatively, the directional input system 100 can be implemented as an input method editor (IME). In this case, the text entered by the system goes into whatever program is actively accepting input from the system. Other applications may be linked to the system, or the system may be incorporated as part of another application. These applications include but are not limited to: instant messaging, electronic mail, chat programs, web browsing, communication within a video game, supplying text to a video game, as well as word processing.
To enter a text message using the directional input system 100, the user first points the joystick in the general direction of the desired letter, and then continues pointing roughly to each letter in the desired word. Once all letters have been roughly selected, buttons are used to select a specific word from the list of potential matches. The selected word goes into the message area 220, which may be an appropriate text application such as email or instant message.
The invention also provides a method for precisely choosing the letters of a word. The method is useful for entering uncommon names and any word that is not part of the standard language currently active. The method can also be used to change the last character entered by stepping between characters adjacent to the last character entered. To step between characters adjacent to the last character entered, a forward button and a backward button may be used. Once the character entered has been changed, the word choice list refreshes to reflect the changes in the predicted words. Alternatively, the system may be switched to a precision mode and the directional input means may be used to cycle through letters. To switch to the precision mode, the system may choose to use the degree of joystick tilt from the center. Once the tilt exceeds a preconfigured limit, the system switches to the precision mode. Alternatively, the system may use the time interval that the joystick dwells at the perimeter. Once the time interval reaches a preconfigured limit, the system switches to the precision mode and notifies the user through a visual cue or a tone. The system may also include a button for switching to precision mode.
In addition to the preceding methods, the system may determine the precise letters by detecting the difference in speed of selection or change in acceleration, especially when the system embodiment is based on a directional selection means employing a wheel.
In the preferred embodiment above, the directional input system 100 is deployed to a home video game console machine. However, this technology can also be deployed to many other products such as portable video game devices, phones with the appropriate input methods, wheelchairs, and TV related electronic devices, etc. In TV related electronic devices, for example, the invention may be deployed as set-top boxes and the joystick/rocker may be incorporated in the remote controls.
For internal calculations, the on-screen keyboard 130 may be represented internally in the same way as the screen using direct mapping. Alternatively, it can be represented in a very different format using virtual mapping. The internal representation of keyboards may use any coordinate system, including but not limited to Polar and Cartesian coordinate systems.
When the on-screen keyboard 130 is represented internally using a Polar system, key positions are set by bounding angles and radial distance from the center. In the preferred embodiment, multiple concentric circles are permitted. The system can accept direct Polar inputs. Alternatively, it can map Cartesian inputs into Polar coordinates before performing calculations.
When the on-screen keyboard 130 is represented internally using a Cartesian system, key positions are set by left, right, top, and bottom of a bounding box. The horizontal and vertical positions are relative to one corner, usually top left but can vary by platform and operating system (OS). In the preferred embodiment, multiple rows of keys are permitted.
The directional input system 100 may also alternate between several keyboards for a variety of reasons. Such reasons may include the following: uppercase vs. lowercase letters, alphabets for other supported languages, extended alphabets for languages with large numbers of letters, diacritics, numbers vs. letters, symbols and punctuation, strokes vs. character components, different alphabets for the same language, function keys, and precision mode for selecting specific exact spell characters.
In another preferred embodiment of the invention, the directional input system 100 also provides a mechanism for changing the keyboard face and the input directions. The system includes an input means to switch among a set of system modes. A mode is a combination of keyboard, key-map, and sometimes dictionary. Modes can be used for many things, including but not limited to entering characters, executing functions, and changing system parameters.
In the preferred embodiment, the system may also contain the following buttons: Space or Select word, Backspace, Next & Previous word, Next & Previous character, Shift/Caps Lock, and Menu/Mode switch. Each of these buttons is mapped to a system function. The functions that can be performed by buttons include, but are not limited to the following:
Some characters that can optionally be entered by buttons include, but are not limited to:
The directional input system 100 supports multiple languages. Each language supported is stored in a separate language database (LDB). The language database stores words organized by word length and frequency of use within the given language. When the system uses case sensitive letters, the database storage is also case sensitive and thus words are stored in a mixed case format.
The directional input system 100 can optionally support user added words. These words are either stored in a separate user database (UDB) or appended to the primary language database (LDB). When a UDB is used, it organizes words by word length and recency of use.
The directional input system 100 can optionally support dynamic word prediction, where likelihood changes are made either by re-ordering sections of the LDB, or via a recency database (RDB) which is organized by word length and recency of use.
The final word choice list is retrieved and ordered using the following types of data: word length, ordinal ranking, letter weight, and recently used words. Only words that have at least as many letters as the letters entered are presented. When “Word Completion” is used, longer words may be presented if they are determined to be likely. Words in the LDB may be ordered by frequency, most common first, and least common last.
The invention adopts an algorithm which matches the entry sequence to letters of words in the LDB based on their nearness to the point/angle of each entry. For example, the weighting may approximate an inverse square of the distance from the center of the corresponding letter. Grouping letters for efficiency is an optional, yet preferred feature; it excludes letter matching when the letter is far outside of the smaller area of adjacent letters surrounding the point/angle of entry. A detailed description of the algorithm is set further in the copending application, U.S. Ser. No. 09/580,319, filed on May 26, 2000, entitled “KEYBOARD SYSTEM WITH AUTOMATIC CORRECTION”. This detailed description is hereby incorporated by reference.
Each letter in a keyboard group has a relative weight to nearby letters. When one letter is entered, nearby letters are taken into account, and all of these letters are assigned a likelihood weight. The actual letter entered has the highest weight, and the weight decreases with distance from the exact letter. These letter weights combine to alter the order of likely words presented in the word choice list.
Recently used words may be weighted as more frequent, so their likelihood is increased and they are shown higher in the word choice list. Recency information is also used for determining the placement of user-defined words in the word choice list.
The directional input system 100 also supports word completion. If the system suspects that the letters entered are the beginning part of a longer word, longer words that roughly match are presented in the word choice list. Alternatively, the system can present the user a list of suffixes for a stem word. If a root word is selected with a “suffix button”, a list of suffixes is then displayed at the end of the root, allowing the user to select the suffix of choice.
The directional input system 100 also allows the user to select a partial word while still building a word. The list is then filtered to only include words that begin with the chosen word stem. If a user scrolls down to an alternate word, and then adds more letters, this alternate word continues to be the selection, highlighted by the method discussed above, until it becomes invalid by further addition of characters.
Although the invention is described herein with reference to the preferred embodiment, one skilled in the art will readily appreciate that other applications may be substituted for those set forth herein without departing from the spirit and scope of the present invention.
Accordingly, the invention should only be limited by the Claims included below.
The application is a Continuation of U.S. Ser. No. 12/837,338 filed Jul. 15, 2010, which is a Continuation of U.S. Ser. No. 11/859,505 filed Sep. 21, 2007 (now U.S. Pat. No. 7,778,818), which is a Continuation of U.S. Ser. No. 10/677,890 filed Oct. 1, 2003 (now U.S. Pat. No. 7,286,115), which claims the benefit of U.S. Ser. No. 60/461,735, filed Apr. 9, 2003 and which is a Continuation-in-part application of U.S. Ser. No. 10/205,950 filed Jul. 25, 2002 (now U.S. Pat. No. 6,970,599) and is a Continuation-in-part of U.S. Ser. No. 09/580,319 filed on May 26, 2000 (now U.S. Pat. No. 6,801,190), which claims priority from Provisional Application U.S. Ser. No. 60/136,613 filed May 27, 1999, all of which are incorporated in their entirety herein by this reference thereto.
Number | Name | Date | Kind |
---|---|---|---|
3980869 | Lombardino et al. | Sep 1976 | A |
4286329 | Goertzel et al. | Aug 1981 | A |
4353552 | Pepper, Jr. et al. | Oct 1982 | A |
4365235 | Greanias et al. | Dec 1982 | A |
4439649 | Cecchi | Mar 1984 | A |
4454592 | Cason et al. | Jun 1984 | A |
4544276 | Horodeck | Oct 1985 | A |
4559598 | Goldwasser et al. | Dec 1985 | A |
4561105 | Crane et al. | Dec 1985 | A |
4573196 | Crane et al. | Feb 1986 | A |
4689768 | Heard et al. | Aug 1987 | A |
4710758 | Mussler et al. | Dec 1987 | A |
4712923 | Martin | Dec 1987 | A |
4725694 | Auer et al. | Feb 1988 | A |
4782464 | Gray et al. | Nov 1988 | A |
4783758 | Kucera | Nov 1988 | A |
4783761 | Gray et al. | Nov 1988 | A |
4891777 | Lapeyre | Jan 1990 | A |
4891786 | Goldwasser | Jan 1990 | A |
5109352 | O'Dell | Apr 1992 | A |
5127055 | Larkey | Jun 1992 | A |
5187480 | Thomas et al. | Feb 1993 | A |
5224179 | Denker et al. | Jun 1993 | A |
5261112 | Futatsugi et al. | Nov 1993 | A |
5305205 | Weber et al. | Apr 1994 | A |
5317507 | Gallant | May 1994 | A |
5347295 | Agulnick et al. | Sep 1994 | A |
5451724 | Nakazawa et al. | Sep 1995 | A |
5457454 | Sugano | Oct 1995 | A |
5462711 | Ricottone | Oct 1995 | A |
5533147 | Arai et al. | Jul 1996 | A |
5541988 | Draganoff | Jul 1996 | A |
5561446 | Montlick | Oct 1996 | A |
5572423 | Church | Nov 1996 | A |
5574482 | Niemeier | Nov 1996 | A |
5577170 | Karow | Nov 1996 | A |
5583946 | Gourdol | Dec 1996 | A |
5586198 | Lakritz | Dec 1996 | A |
5612690 | Levy | Mar 1997 | A |
5616031 | Logg | Apr 1997 | A |
5649223 | Freeman | Jul 1997 | A |
5664896 | Blumberg | Sep 1997 | A |
5675361 | Santilli | Oct 1997 | A |
5706431 | Otto | Jan 1998 | A |
5734749 | Yamada et al. | Mar 1998 | A |
5734750 | Arai et al. | Mar 1998 | A |
5745719 | Falcon | Apr 1998 | A |
5748512 | Vargas | May 1998 | A |
5754173 | Hiura et al. | May 1998 | A |
5754686 | Harada et al. | May 1998 | A |
5784008 | Raguseo | Jul 1998 | A |
5786776 | Kisaichi et al. | Jul 1998 | A |
5796867 | Chen et al. | Aug 1998 | A |
5798760 | Vayda et al. | Aug 1998 | A |
5799269 | Schabes et al. | Aug 1998 | A |
5802460 | Parvulescu et al. | Sep 1998 | A |
5805911 | Miller | Sep 1998 | A |
5812657 | Reding et al. | Sep 1998 | A |
5812696 | Arai et al. | Sep 1998 | A |
5812697 | Sakai et al. | Sep 1998 | A |
5813013 | Shakib et al. | Sep 1998 | A |
5818437 | Grover et al. | Oct 1998 | A |
5822521 | Gartner et al. | Oct 1998 | A |
5828999 | Bellegarda et al. | Oct 1998 | A |
5855006 | Huemoeller et al. | Dec 1998 | A |
5870492 | Shimizu et al. | Feb 1999 | A |
5893073 | Kasso et al. | Apr 1999 | A |
5896321 | Miller et al. | Apr 1999 | A |
5917476 | Czerniecki | Jun 1999 | A |
5917889 | Brotman et al. | Jun 1999 | A |
5920303 | Baker et al. | Jul 1999 | A |
5923793 | Ikebata | Jul 1999 | A |
5926566 | Wang et al. | Jul 1999 | A |
5928588 | Chen et al. | Jul 1999 | A |
5931878 | Chapin, Jr. | Aug 1999 | A |
5933526 | Sklarew | Aug 1999 | A |
5937160 | Davis et al. | Aug 1999 | A |
5937420 | Karow et al. | Aug 1999 | A |
5948066 | Whalen et al. | Sep 1999 | A |
5950010 | Hesse et al. | Sep 1999 | A |
5952942 | Balakrishnan et al. | Sep 1999 | A |
5953541 | King et al. | Sep 1999 | A |
5956021 | Kubota et al. | Sep 1999 | A |
5960406 | Rasansky et al. | Sep 1999 | A |
5963671 | Comerford et al. | Oct 1999 | A |
5973676 | Kawakura | Oct 1999 | A |
5983200 | Slotznick | Nov 1999 | A |
5999179 | Kekic et al. | Dec 1999 | A |
6002390 | Masui | Dec 1999 | A |
6002799 | Sklarew | Dec 1999 | A |
6005495 | Connolly et al. | Dec 1999 | A |
6008799 | Van Kleeck | Dec 1999 | A |
6009444 | Chen | Dec 1999 | A |
6011537 | Slotznick | Jan 2000 | A |
6011554 | King et al. | Jan 2000 | A |
6012098 | Bayeh et al. | Jan 2000 | A |
6016478 | Zhang et al. | Jan 2000 | A |
6018708 | Dahan et al. | Jan 2000 | A |
6023714 | Hill et al. | Feb 2000 | A |
6023760 | Karttunen | Feb 2000 | A |
6026410 | Allen | Feb 2000 | A |
6028959 | Wang et al. | Feb 2000 | A |
6029171 | Smiga et al. | Feb 2000 | A |
6037942 | Millington | Mar 2000 | A |
6040829 | Croy et al. | Mar 2000 | A |
6041137 | Van Kleeck | Mar 2000 | A |
6044165 | Perona et al. | Mar 2000 | A |
6047260 | Levinson | Apr 2000 | A |
6047297 | Johnson et al. | Apr 2000 | A |
6052130 | Bardon et al. | Apr 2000 | A |
6054941 | Chen | Apr 2000 | A |
6054990 | Tran et al. | Apr 2000 | A |
6075469 | Pong | Jun 2000 | A |
6075992 | Moon et al. | Jun 2000 | A |
6081262 | Gill et al. | Jun 2000 | A |
6088649 | Kadaba et al. | Jul 2000 | A |
6088717 | Reed | Jul 2000 | A |
6094197 | Buxton et al. | Jul 2000 | A |
6098034 | Razin et al. | Aug 2000 | A |
6104317 | Panagrossi | Aug 2000 | A |
6104384 | Moon et al. | Aug 2000 | A |
6111573 | Mccomb et al. | Aug 2000 | A |
6130962 | Sakurai | Oct 2000 | A |
6141011 | Bodnar et al. | Oct 2000 | A |
6144764 | Yamakawa et al. | Nov 2000 | A |
6148104 | Wang et al. | Nov 2000 | A |
6157323 | Tso et al. | Dec 2000 | A |
6157379 | Singh | Dec 2000 | A |
6157935 | Tran et al. | Dec 2000 | A |
6157958 | Armitage et al. | Dec 2000 | A |
6166739 | Hugh | Dec 2000 | A |
6167441 | Himmel | Dec 2000 | A |
6169538 | Nowlan et al. | Jan 2001 | B1 |
6172625 | Jin et al. | Jan 2001 | B1 |
6182078 | Whitmyer, Jr. | Jan 2001 | B1 |
6188988 | Barry et al. | Feb 2001 | B1 |
6204848 | Nowlan et al. | Mar 2001 | B1 |
6212297 | Sklarew | Apr 2001 | B1 |
6215485 | Phillips | Apr 2001 | B1 |
6223059 | Haestrup | Apr 2001 | B1 |
6230160 | Chan et al. | May 2001 | B1 |
6232970 | Bodnar et al. | May 2001 | B1 |
6247048 | Greer et al. | Jun 2001 | B1 |
6253326 | Lincke et al. | Jun 2001 | B1 |
6275611 | Parthasarathy | Aug 2001 | B1 |
6278445 | Tanaka et al. | Aug 2001 | B1 |
6285768 | Ikeda | Sep 2001 | B1 |
6286064 | King et al. | Sep 2001 | B1 |
6300947 | Kanevsky | Oct 2001 | B1 |
6307548 | Flinchem et al. | Oct 2001 | B1 |
6307549 | King et al. | Oct 2001 | B1 |
6310634 | Bodnar et al. | Oct 2001 | B1 |
6314418 | Namba | Nov 2001 | B1 |
6320943 | Borland | Nov 2001 | B1 |
6346894 | Connolly et al. | Feb 2002 | B1 |
6362752 | Guo et al. | Mar 2002 | B1 |
6392640 | Will | May 2002 | B1 |
6424743 | Ebrahimi | Jul 2002 | B1 |
6424983 | Schabes et al. | Jul 2002 | B1 |
6437709 | Hao | Aug 2002 | B1 |
6448987 | Easty et al. | Sep 2002 | B1 |
6453079 | Mcinerny | Sep 2002 | B1 |
6489951 | Wong et al. | Dec 2002 | B1 |
6493464 | Hawkins et al. | Dec 2002 | B1 |
6502118 | Chatterjee | Dec 2002 | B1 |
6542170 | Williams et al. | Apr 2003 | B1 |
6549219 | Selker | Apr 2003 | B2 |
6567072 | Watanabe | May 2003 | B2 |
6585162 | Sandbach et al. | Jul 2003 | B2 |
6611252 | Dufaux | Aug 2003 | B1 |
6616703 | Nakagawa | Sep 2003 | B1 |
6643647 | Natori | Nov 2003 | B2 |
6646573 | Kushler et al. | Nov 2003 | B1 |
6654733 | Goodman et al. | Nov 2003 | B1 |
6681110 | Crookham et al. | Jan 2004 | B1 |
6686852 | Guo | Feb 2004 | B1 |
6686907 | Su et al. | Feb 2004 | B2 |
6711290 | Sparr et al. | Mar 2004 | B2 |
6757544 | Rangarajan et al. | Jun 2004 | B2 |
6765554 | Millington | Jul 2004 | B2 |
6765567 | Roberson et al. | Jul 2004 | B1 |
6788315 | Kekic et al. | Sep 2004 | B1 |
6801190 | Robinson et al. | Oct 2004 | B1 |
6801604 | Maes et al. | Oct 2004 | B2 |
6801659 | O'Dell | Oct 2004 | B1 |
6807529 | Johnson et al. | Oct 2004 | B2 |
6807631 | Fuller et al. | Oct 2004 | B2 |
6812941 | Brown et al. | Nov 2004 | B1 |
6819315 | Toepke et al. | Nov 2004 | B2 |
6820075 | Shanahan et al. | Nov 2004 | B2 |
6829607 | Tafoya et al. | Dec 2004 | B1 |
6829746 | Schwerdtfeger et al. | Dec 2004 | B1 |
6864809 | O'Dell et al. | Mar 2005 | B2 |
6898569 | Bansal et al. | May 2005 | B1 |
6904402 | Wang et al. | Jun 2005 | B1 |
6912581 | Johnson et al. | Jun 2005 | B2 |
6947771 | Guo et al. | Sep 2005 | B2 |
6955602 | Williams | Oct 2005 | B2 |
6956968 | O'Dell et al. | Oct 2005 | B1 |
6970599 | Longe et al. | Nov 2005 | B2 |
6973332 | Mirkin et al. | Dec 2005 | B2 |
6982658 | Guo | Jan 2006 | B2 |
6990534 | Mikhailov et al. | Jan 2006 | B2 |
7020270 | Ghassabian | Mar 2006 | B1 |
7020849 | Chen | Mar 2006 | B1 |
7030863 | Longe | Apr 2006 | B2 |
7057607 | Mayoraz et al. | Jun 2006 | B2 |
7075520 | Williams | Jul 2006 | B2 |
7088345 | Robinson et al. | Aug 2006 | B2 |
7088861 | Van Meurs | Aug 2006 | B2 |
7095403 | Lyustin | Aug 2006 | B2 |
7107204 | Liu et al. | Sep 2006 | B1 |
7117144 | Goodman et al. | Oct 2006 | B2 |
7139430 | Sparr et al. | Nov 2006 | B2 |
7146381 | Allen et al. | Dec 2006 | B1 |
7149550 | Kraft et al. | Dec 2006 | B2 |
7151533 | Van | Dec 2006 | B2 |
7155683 | Williams | Dec 2006 | B1 |
7162305 | Tong et al. | Jan 2007 | B2 |
7177797 | Micher et al. | Feb 2007 | B1 |
7224989 | Kraft | May 2007 | B2 |
7256769 | Pun et al. | Aug 2007 | B2 |
7257528 | Ritchie et al. | Aug 2007 | B1 |
7272564 | Phillips et al. | Sep 2007 | B2 |
7275029 | Gao et al. | Sep 2007 | B1 |
7277088 | Robinson et al. | Oct 2007 | B2 |
7283999 | Ramesh et al. | Oct 2007 | B1 |
7286115 | Longe et al. | Oct 2007 | B2 |
7293231 | Gunn et al. | Nov 2007 | B1 |
7302634 | Lucovsky et al. | Nov 2007 | B2 |
7313277 | Morwing et al. | Dec 2007 | B2 |
7334000 | Chhatrapati et al. | Feb 2008 | B2 |
7349576 | Holtsberg | Mar 2008 | B2 |
7385531 | Zhang et al. | Jun 2008 | B2 |
7386586 | Headley et al. | Jun 2008 | B1 |
7389235 | Dvorak | Jun 2008 | B2 |
7437001 | Morwing et al. | Oct 2008 | B2 |
7453439 | Kushler et al. | Nov 2008 | B1 |
7466859 | Chang et al. | Dec 2008 | B2 |
7584173 | Bax et al. | Sep 2009 | B2 |
7720682 | Stephanick et al. | May 2010 | B2 |
7750891 | Stephanick et al. | Jul 2010 | B2 |
7778818 | Longe et al. | Aug 2010 | B2 |
7821503 | Stephanick et al. | Oct 2010 | B2 |
7880730 | Robinson et al. | Feb 2011 | B2 |
7920132 | Longe et al. | Apr 2011 | B2 |
7925542 | Shah | Apr 2011 | B2 |
8237681 | Stephanick et al. | Aug 2012 | B2 |
8237682 | Stephanick et al. | Aug 2012 | B2 |
8294667 | Longe et al. | Oct 2012 | B2 |
20010033295 | Phillips | Oct 2001 | A1 |
20010048425 | Partridge | Dec 2001 | A1 |
20020019825 | Smiga et al. | Feb 2002 | A1 |
20020065890 | Barron | May 2002 | A1 |
20020075291 | Van Gestel et al. | Jun 2002 | A1 |
20020093491 | Allen et al. | Jul 2002 | A1 |
20020122072 | Selker | Sep 2002 | A1 |
20020135499 | Guo | Sep 2002 | A1 |
20020135561 | Rojewski | Sep 2002 | A1 |
20020145587 | Watanabe | Oct 2002 | A1 |
20020163544 | Baker et al. | Nov 2002 | A1 |
20020168107 | Tang et al. | Nov 2002 | A1 |
20020188448 | Goodman et al. | Dec 2002 | A1 |
20030006956 | Wu et al. | Jan 2003 | A1 |
20030011574 | Goodman | Jan 2003 | A1 |
20030018724 | Mathewson et al. | Jan 2003 | A1 |
20030023426 | Pun et al. | Jan 2003 | A1 |
20030033288 | Shanahan et al. | Feb 2003 | A1 |
20030041076 | Lucovsky et al. | Feb 2003 | A1 |
20030048257 | Mattila | Mar 2003 | A1 |
20030054830 | Williams et al. | Mar 2003 | A1 |
20030131073 | Lucovsky et al. | Jul 2003 | A1 |
20030144830 | Williams | Jul 2003 | A1 |
20030167279 | Smiga et al. | Sep 2003 | A1 |
20030179930 | O'Dell et al. | Sep 2003 | A1 |
20030184451 | Li | Oct 2003 | A1 |
20030234766 | Hildebrand | Dec 2003 | A1 |
20040153963 | Simpson et al. | Aug 2004 | A1 |
20040153975 | Williams et al. | Aug 2004 | A1 |
20040155869 | Robinson et al. | Aug 2004 | A1 |
20040163032 | Guo et al. | Aug 2004 | A1 |
20040243389 | Thomas et al. | Dec 2004 | A1 |
20040243547 | Chhatrapati et al. | Dec 2004 | A1 |
20040260694 | Chaudhuri et al. | Dec 2004 | A1 |
20050027805 | Aoki | Feb 2005 | A1 |
20050060138 | Wang et al. | Mar 2005 | A1 |
20050114770 | Sacher et al. | May 2005 | A1 |
20050120870 | Ludwig | Jun 2005 | A1 |
20050135678 | Wecker et al. | Jun 2005 | A1 |
20050154625 | Chua et al. | Jul 2005 | A1 |
20050169527 | Longe et al. | Aug 2005 | A1 |
20050174333 | Robinson et al. | Aug 2005 | A1 |
20050190970 | Griffin | Sep 2005 | A1 |
20050209914 | Nguyen et al. | Sep 2005 | A1 |
20050210383 | Cucerzan et al. | Sep 2005 | A1 |
20050223308 | Gunn et al. | Oct 2005 | A1 |
20060062461 | Longe et al. | Mar 2006 | A1 |
20060129928 | Qiu | Jun 2006 | A1 |
20060136408 | Weir et al. | Jun 2006 | A1 |
20060155536 | Williams et al. | Jul 2006 | A1 |
20060158436 | Lapointe et al. | Jul 2006 | A1 |
20060161554 | Lucovsky | Jul 2006 | A1 |
20060173807 | Weir et al. | Aug 2006 | A1 |
20060176283 | Suraqui | Aug 2006 | A1 |
20060190819 | Ostergaard et al. | Aug 2006 | A1 |
20060193519 | Sternby | Aug 2006 | A1 |
20060236239 | Simpson et al. | Oct 2006 | A1 |
20060239560 | Sternby | Oct 2006 | A1 |
20060247915 | Bradford et al. | Nov 2006 | A1 |
20060265359 | Burst et al. | Nov 2006 | A1 |
20060274051 | Longe et al. | Dec 2006 | A1 |
20070016616 | Brill | Jan 2007 | A1 |
20070040813 | Kushler | Feb 2007 | A1 |
20070050360 | Hull et al. | Mar 2007 | A1 |
20070083552 | Allen et al. | Apr 2007 | A1 |
20070094718 | Simpson | Apr 2007 | A1 |
20070203879 | Templeton-Steadman et al. | Aug 2007 | A1 |
20070203894 | Jones et al. | Aug 2007 | A1 |
20070276653 | Greenwald et al. | Nov 2007 | A1 |
20070276814 | Williams | Nov 2007 | A1 |
20070285397 | Lapointe et al. | Dec 2007 | A1 |
20080100579 | Robinson et al. | May 2008 | A1 |
20080130996 | Sternby | Jun 2008 | A1 |
20080133222 | Kogan et al. | Jun 2008 | A1 |
20080189605 | Kay et al. | Aug 2008 | A1 |
20080291059 | Longe | Nov 2008 | A1 |
20090007001 | Morin et al. | Jan 2009 | A1 |
20090037399 | Bartz et al. | Feb 2009 | A1 |
20090089665 | White et al. | Apr 2009 | A1 |
20090105959 | Braverman et al. | Apr 2009 | A1 |
20090168768 | Chiabaut et al. | Jul 2009 | A1 |
20090226098 | Takahashi et al. | Sep 2009 | A1 |
20090234826 | Bidlack | Sep 2009 | A1 |
20090284471 | Longe et al. | Nov 2009 | A1 |
20100082343 | Levit et al. | Apr 2010 | A1 |
20100257478 | Longe et al. | Oct 2010 | A1 |
20100325136 | Chaudhuri et al. | Dec 2010 | A1 |
20110193797 | Unruh | Aug 2011 | A1 |
20110234524 | Longe | Sep 2011 | A1 |
Number | Date | Country |
---|---|---|
1116335 | Feb 1996 | CN |
1190205 | Aug 1998 | CN |
1232204 | Oct 1999 | CN |
1358299 | Jul 2002 | CN |
1606753 | Apr 2005 | CN |
3401942 | Nov 1984 | DE |
0114250 | Aug 1984 | EP |
0739521 | Oct 1996 | EP |
0762265 | Mar 1997 | EP |
811944 | Dec 1997 | EP |
0858023 | Aug 1998 | EP |
0961208 | Dec 1999 | EP |
1018679 | Jul 2000 | EP |
1085401 | Mar 2001 | EP |
1168780 | Jan 2002 | EP |
1355225 | Oct 2003 | EP |
2824979 | Nov 2002 | FR |
05-7010832 | Jan 1982 | JP |
60-204065 | Oct 1985 | JP |
60204065 | Oct 1985 | JP |
62065136 | Mar 1987 | JP |
1023021 | Jan 1989 | JP |
1047565 | Feb 1989 | JP |
05-027896 | Feb 1993 | JP |
1993081482 | Apr 1993 | JP |
05-233600 | Sep 1993 | JP |
6083512 | Mar 1994 | JP |
6083816 | Mar 1994 | JP |
1994083512 | Mar 1994 | JP |
1994083816 | Mar 1994 | JP |
7094376 | Apr 1995 | JP |
7146918 | Jun 1995 | JP |
1995146918 | Jun 1995 | JP |
8305701 | Nov 1996 | JP |
1996305701 | Nov 1996 | JP |
8319721 | Dec 1996 | JP |
09-185612 | Jul 1997 | JP |
9185612 | Jul 1997 | JP |
10-143309 | May 1998 | JP |
10135399 | May 1998 | JP |
10143309 | May 1998 | JP |
10-154144 | Jun 1998 | JP |
10154144 | Jun 1998 | JP |
10-275046 | Oct 1998 | JP |
10275046 | Oct 1998 | JP |
11021274 | Jan 1999 | JP |
11028406 | Feb 1999 | JP |
11338858 | Dec 1999 | JP |
1999338858 | Dec 1999 | JP |
2001043205 | Feb 2001 | JP |
2001282778 | Oct 2001 | JP |
2002244803 | Aug 2002 | JP |
2003005888 | Jan 2003 | JP |
2003500771 | Jan 2003 | JP |
2003533816 | Nov 2003 | JP |
20010107388 | Dec 2001 | KR |
20020004419 | Jan 2002 | KR |
498264 | Aug 2002 | TW |
WO-9705541 | Feb 1997 | WO |
WO-9816889 | Apr 1998 | WO |
WO-9915952 | Apr 1999 | WO |
WO-0057338 | Sep 2000 | WO |
WO-0072300 | Nov 2000 | WO |
WO-0074240 | Dec 2000 | WO |
WO-0142876 | Jun 2001 | WO |
WO-0188680 | Nov 2001 | WO |
WO-0188680 | Nov 2001 | WO |
WO-03009164 | Jan 2003 | WO |
WO-03021788 | Mar 2003 | WO |
WO-2004111812 | Dec 2004 | WO |
WO-2004111871 | Dec 2004 | WO |
WO-2006026908 | Mar 2006 | WO |
Entry |
---|
“2,001 Tips: Applications- Got a hectic schedule? Juggling multiple projects? These tips will help you keep it all under control”, Windows Magazine, n911A, Nov. 1998, p. 83. |
“Add-ons aid productivity, provide workgroup functions”, PC Sources, vol. 3, No. 11, Nov. 1992, 2 pages. |
“An appointment calendar for Windows 95”, PC Magazine, vol. 15, No. 5, Mar. 12, 1996, pp. 269-272. |
“Appointment-Plus Scheduling Software Features”, retrieved online on Mar. 19, 2007 from: http://www.appointment-plus.corn/features.php, 2006, 5 pages. |
“AppointmentQuest Online Scheduling Application Goes Live”, Press Release, retrieved online from: http://www.appointmentquest.com/news/release/09—22—2001—online—scheduling—goes—live, Sep. 22, 2001, 1 page. |
“Handbook for the Palm V™ Organizer”, Palm Computing, Inc., Santa Clara, CA, 1998-1999, Total of 244 pages. |
“Online Appointment Manager”, AppointmentQuest brochure, Mar. 2001, 5 pages. |
“Organize Online”, PC Magazine, ISSN: 0888-8507, Mar. 9, 1999, p. 9. |
“Pilot POBox (Jul. 1997)”, http://www.csl.sony.co.jp/person/maui/POBox/ilot.html, Printout form dated 1/03/20, no translation provided, Total of 7 pages. |
“POBox Example 2”, http://www.csl.sony..co.jp/person/masui/POBox/example2.html, Printout form dated Jan. 3, 1920, no translation provided, Total of 2 pages. |
“Quick Stroke Information”, Synaptics, retrieved on Nov. 18, 2006 from website: www.synaptics.com/products/quickstroke—faq.cfm and www.synaptics.com/products/quickstroke.cfm, Total of 4 pages. |
“Softava Q12 Mobile's Keypad”, http://www.softava.com/q12, Printout dated Oct. 24, 2006, Total of 3 pages. |
“We Have Mail”, C/C++ Users Journal, vol. 14, No. 6, Letter to the Editor, Jun. 1996, pp. 90-93. |
“What is Fastap; What Fastap Does; How it Works”, retrieved online on Oct. 24, 2006 from url: www.digitwireless.com, 3 pages. |
Albinus, Philip , “Hire a software secretary”, Home Office Computing, vol. 15, No. 2, Feb. 1997, p. 93. |
Alesandrini, Kathryn , “No more information overload: PIMs put an end to the paper chase”, Computer Shopper, vol. 16, No. 2, Feb. 1996, p. 542. |
Amin, A. et al., “Recognition of Hand-printed Chinese Characters Using Decision Trees/Machine Learning of C4.5 System”, Pattern Analysis and Applications, vol. 1, Issue 2, 1998, 130-141. |
Annamalai, et al., “Indexing Images in Oracle8i”, ACM SIGMOD, Int'l Conference on Management of Data, Dallas, Texas, USA, May 2000, pp. 539-547. |
Arnott, John , “Probabilistic Character Disambiguation for Reduced Keyboards Using Small Text Samples”, AAC Augmentative and Alternative Communication, vol. 8, No. 3, Dept. Math & comp. Sci.; Univ of Dundee, Dundee, Tayside, Scotland, Sep. 1992, 215-223. |
Bauer, , “Minimizing Total Tardiness on a Single Machine Using Ant Colony Optimization”, Central European Journal of Operations Research, vol. 8, No. 2, 2000, pp. 125-141. |
Berlind, David , “Philippe Kahn: the comeback kid?”, PC Week, vol. 13, No. 1, Jan. 8, 1996, p. 66. |
Bertolucci, et al., “Beyond Free-Mail”, PC World, vol. 18, No. 4, Apr. 2000, p. 151. |
Boyce, Jim , “Web-Wise PIMs—Personal information managers are adding Internet capabilities to their long lists of features”, Windows Magazine, No. 805, May 1997, p. 212. |
Brucker, et al., “Single Machine Batch Scheduling to Minimized the Weighed Number of Late Jobs”, Mathematical Methods of Operations Research vol. 43, Feb. 1996, pp. 1-8. |
Chen, Ju-Wei et al., “A Hierarchical Representation for the Reference Database of On-Line Chinese Character Recognition”, Advances in Structural and Syntactical Pattern Recognition. 6th International Workshop,, INSPEC Abstract No. C9702-1250B-021, 6th International Workshop, SSPR '96, Aug. 20-23, 1996, Total of 1 page. |
Cheng, R et al., “Recognition of Radicals in Handwritten Chinese Characters by Means of Problem Reduction and Knowledge Guidance”, International Journal of Pattern Recognition and Artificial Intelligence, INSPEC Abstract No. C9706-5260B-280, Sep. 1996, Total of 1 page. |
Chou, Kuo-Sen et al., “Radical-Based Neighboring Segment Matching for On-Line Chinese Character Recognition”, Computer Processing of Oriental Languages, INSPEC Abstract No. B9701-6140C-682, C9701-1250B-019, Apr. 1997, Total of 1 page. |
Chou, Kuo-Sen et al., “Radical-Based Neighboring Segment Matching for On-Line Chinese Character Recognition”, Proceedings of the 13th International Conference on Pattern Recognition, INSPEC Abstract No. B9701-6140C-682, C9701-1250B-019, Aug. 25-26, 1996, Total of 1 page. |
Christodoulakis, et al., “Design Considerations for a Message File Server”, IEEE Transactions on Software Engineering, SE-10, New York, USA, Mar. 1984, pp. 201-210. |
Connell, S. et al., “Template-based Online Character Recognition”, Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan, Aug. 10, 1999, 1-30. |
Dennis, Donnette , “Contact management often poses quandary”, Computer Reseller News, ISSN: 0893-8377, Dec. 6, 1999, p. 127. |
Durkin, Tom , “Scheduling Tasks Eased by Net-Based Solution”, Telecommuting Review: the Gordon Report, vol. 13, No. 5, May 1996, p. 13. |
Elliot, Elaine X. , “Collaborative computing”, Computer Shopper, vol. 16, No. 6, Jun. 1996, p. 534. |
Elliott, Elaine X. , “Order from chaos”, Computer Shopper, vol. 17, No. 2, Feb. 1997, p. 316. |
English, David , “Shareware Shop: Organize the details of your life”, Computer Shopper, ISSN: 0886-0556, Jan. 1999, p. 456. |
Fan, Fang et al., “An On-Line Handwritten Chinese Character Recognition System”, Proceedings of the SPIE—The International Society for Optical Engineering, INSPEC Abstract No. C2000-12-5260B-085, Jan. 26-27, 2000, 2000, Total of 1 page. |
Garrett, M. et al., “Implementation of Dasher, an Information Efficient Input Mechanism”, Presented at LINUX 2003 Conference, D. Ward, I. Murray, P. Cowans, and D. Mackay (Additional Authors), Edinburgh, Scotland, 07/11/20203, Total of 6 pages. |
Ginsburg, Lynn , “Pixel Me In—Free Web-based calendars give you and your colleagues anytime, anywhere access to your schedule”, Computer Shopper, ISSN: 0886-0556, Sep. 1, 2000, p. 233. |
Harter, Betsy , “Informance Performance”, Wireless Review, ISSN 1099-9248, Mar. 1, 2000, 3 pages. |
Holthaus, et al., “Efficient dispatching rules for scheduling in a job shop”, International Journal of Production Economics, vol. 48, Jan. 1997, pp. 87-105. |
Holthaus, O. , “Design of Efficient Job Shop Scheduling Rules”, Proceedings of the 21st Int'l Conference on Computers and Industrial Engineering, vol. 33, Nos. 1-2, Oct. 1997, pp. 249-252. |
Hung, Kwok-Wah et al., “Boxing Code for Stroke-Order Free Handprinted Chinese Characters Recognition”, Proceedings of IEEE International Conference on Systems, Man, Cybernetics, INSPEC Abstract No. C2001-01-5260B-087, Oct. 8-11, 2000, Oct. 8, 2000, Total of 1 page. |
Isokoski, P. et al., “Architecture for Personal Text Entry Methods”, In Closing the Gap: Software Engineering and Human-Computer Interaction, IFIP, 2003, 1-8. |
Isokoski, P. et al., “Combined Model for Text Entry Rate Development”, CHI2003 Extended Abstracts, Apr. 5-10, 2003, 2003, 752-753. |
Isokoski, P. et al., “Comparison of Two Touchpad-Based Methods for Numeric Entry”, CHI Letters: Human Factors in Computing Systems, CHI 2002, vol. 4 No. 1, Apr. 20-25, 2002, 2002, 25-32. |
Isokoski, P. et al., “Device Independent Text Input: A Rationale and an Example”, Proceedings of the Working Conference on Advanced Visual Interfaces AVI2000, May 23-26, 2000, Palermo, Italy, 2000, 76-83. |
Isokoski, P. , “Model for Unistroke Writing Time”, CHI Letters: Human Factors in Computing Systems, SIGCHI 2001, vol. 3, No. 1, Mar. 31-Apr. 5, 2001, 2001, 357-364. |
Isokoski, P. et al., “Report on the CHI2001 Workshop on Text Entry on Mobile Systems”, SIGCHI Bulletin, MacKenzie, S. I. (Additional Author), Sep./Oct. 2001, 2001, 14. |
Isokoski, P. et al., “Text Entry on Mobile Systems: Directions for the Future”, CHI 2001 Extended Abstracts, Mar. 31-Apr. 5, 2001, 2001, 495. |
Isokoski, P. , “Text Input Methods for Eye Trackers Using Off-Screen Targets”, In Proceedings of Eye Tracking Research & Applications Symposium 2000, ACM, Nov. 6-8, 2000, 2000, 15-21. |
Kim, Ki-Cheol et al., “On-Line Recognition of Stroke-Order Free Cursive Chinese Characters with Relaxation Matching”, Journal of the Korea Information Science Society, NSPEC Abstract No. C9507-1250B-022, Mar. 1995, Total of 1 page. |
Kramer, Matt , “Timely updates for two scheduler: OnTime widens Web linds, caLANdar packs in PIM features”, PC Week, vol. 13, No. 49, Dec. 9, 1996, pp. 80-81. |
Kristensson, et al., “Relaxing Stylus Typing Precision by Geometric Pattern Matching”, ACM Proc. of the 10th Int'l Conf. on Intelligent User Interfaces, Jan. 9, 2005, pp. 151-158. |
Kukich, Karen , “Techniques for Automatically Correcting Words in Text”, ACM Computing Surveys, vol. 24, Dec. 1992, 377-439. |
Lang, Nancy A. , “Web Rendezvous Part Deux”, Windows Magazine, No. 1004, Apr. 1999, p. 148. |
Lawler, Eugene L. , “Scheduling a Single Machine to Minimize the Number of Late Jobs”, Technical Report No. UCB/CSD-83-139, University of California Berkeley, retrieved online on Mar. 19, 2007 from: http://www.eecs.berkeley.edu/Pubs/TechRpts/1983/6344.html, 1983, 2 pages. |
Li, Xiaolin et al., “On-Line Handwritten Alphanumeric Character Recognition Using Feature Sequences”, Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, 1995, Total of 8 pages. |
Lin, Chang-Keng et al., “Stroke-Order Independent On-Line of Handwritten Chinese Characters”, Proceedings of the SPIE—The International Society for Optical Engineering, INSPEC Abstract No. C90031813, Nov. 8-10, 1989, Total of 1 page. |
Liu, J.Z. et al., “Two-layer Assignment Method for Online Chinese Character Recognition”, EEE Proceedings-Vision, Image and Signal Processing, INSPEC Abstract No. C2000-06-1250B-004, Feb. 2000, Total of 1 page. |
Liu, Jianzhuang et al., “Stroke Order and Stroke Number Free On-Line Chinese Character Recognition Using Attributed Relational Graph Matching”, Proceedings of the 13th International Conference on Pattern Recognition, INSPEC Abstract No. C9701-1250B-035, Aug. 25-29, 1996, Total of 1 page. |
Liu, Kuo-Ching , “Dispatching Rules for Stochastic Finite Capacity Scheduling”, Proceedings of the 22nd Int'l Conference on Computers and Industrial Engineering, vol. 35, Nos. 1-2, Oct. 1998, pp. 113-116. |
Mankoff, Jennifer , “Cirrin: A Word-Level Unistroke Keyboard for Pen Input”, Proceedings of UIST 1998, Abowd, Gregory D.(Additional Author), Technical note, Nov. 1-4, 1998, 1998, 213-214. |
Mankoff, Jennifer , “Error Correction Techniques for Handwriting, Speech and other Ambiguous or Error Prone Systems”, GVU TechReport, Abowd, Gregory D. (Additional Author), GIT-GVU-99-18, Jun. 1999, Total of 9 pages. |
Marinho, J. et al., “Decision Support System for Dynamic Production Scheduling”, Proceedings of the 1999 IEEE Int'l Symposium on Assembly and Task Planning, Porto, Portugal, Jul. 1999, pp. 424-429. |
Masui, T. , “An Efficient Text Input method for Pen-based Computers”, Proceedings of the ACM Conf. on Human Factors in Computing Systems, ACM Press, Apr. 1998, 238-335. |
Masui, T. , “POBox: An Efficient Text Input Method for Handheld and Ubiquitous Computers”, Sony Computer Science Laboratories, Apr. 1998, Total of 12 pages. |
Min, Kyongho , “Syntactic Recovery and Spelling Correction of III-formed Sentences”, School of Computer Science and Engineering, Wilson, William H. (Additional Author), The University of New South Wales, Feb. 1998, 1-10. |
Mollineda, et al., “A Windowed Weighted Approach for Approximate Cyclic String Matching”, Google, Presented at the 16th Int'l Conference on Pattern Recognition, Aug. 11, 2002, pp. 188-191. |
Morris, et al., “Quantitative Structural Temporal Constraints on Repeating Events”, Florida Institute of Technology, Oct. 28, 1997. |
Naito, S. et al., “Rough Classification for Handprinted Chinese Characters by Stroke Density”, Transactions of the Institute of Electronics and Communication Engineers of Japan, INSPEC Abstract No. C82009693, Aug. 1981, Total of 1 page. |
Nambu, H. et al., “On-Line Chinese Handwriting Character Recognition: Comparison with Japanese Kanji Recognition and Improvement of Input Efficiency”, Transactions of the Information Processing Society of Japan, NSPEC Abstract No. B2000-01-6135E-035, C2000-01-5260B-099, Aug. 1999, Total of 1 page. |
Negrino, Tom , “Claris Organizer 2.0”, Macworld, vol. 14, No. 1, Jan. 1997, p. 62. |
Niz, Xavier W. , “So Long, Shrink-Wrap—With the Internet offering everything from calendars to calculators, it's destined to become the vehicle by which all your applications are delivered”, Computer Shopper; ISSN: 0886-0556, Aug. 1, 2000, p. 182. |
Odaka, K. et al., “Stroke Order Free On-Line Handwritten Character Recognition of Algorithm”, Transactions of the Institute of Electronics and Communication Engineers of Japan, Section E, INSPEC Abstract No. C82041007, Jun. 1982, Total of 1 page. |
Pack, Thomas , “Online calendar keeps you organized”, Link-Up, vol. 17, No. 1, Jan. 2000, p. 30. |
Pan, Bao-Chang et al., “Recognition of Handprinted Chinese Characters by Stroke Order Codes”, International Conference on Computer Processing of Chinese and Oriental Languages, INSPEC Abstract No. C89024386, Aug. 29-Sep. 1, 1988, 1988, Total of 1 page. |
Park, Hee-Seon et al., “An On-line Recognition System for Cursive Chinese Characters with Effective Coarse Classification and Elastic Matching”, Journal of the Korea Information Science Society, INSPEC Abstract No. C9404-1250B-001, Sep. 1993. |
Perlin, K. , “Quikwriting: Continuous Stylus-Based Text Entry”, Presented at ACM UIST'98 Conference, Nov. 1-4, 1998, 1998, 215-216. |
Pierreval, et al., “Dynamic selection of dispatching rules for manufacturing system scheduling”, Int'l Journal of Production Research, vol. 35, No. 6, Jun. 1997, pp. 1575-1591. |
Powell, James E. “Power PIMs Strut Their Stuff”, Windows Magazine, Aug. 1, 1995, p. 258. |
Quixal, et al., “Strategies for the generation of individualized feedback in distance language learning”, Google 2007, 2007, pp. 1-8. |
Romero, R. et al., “Optical Chinese Character Recognition using Probabilistic Neural Networks”, Imaging Systems Lab, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, Jul. 1996, 1-18. |
Sarr, , “Improving Precision and Recall using a Spellchecker in a Search Engine”, Master's Thesis, Google 2003, 2003, pp. 1-39. |
Seni, G. et al., “Large Vocabulary Recognition of On-Line Handwritten Cursive Words”, Presented at IEEE Transactions on Pattern Analysis and Machine Intelligence, Jun. 1996, 1-6. |
Shin, J. , “Online Handwriting Character Analysis Using Stroke Correspondence Search”, Journal of Shanghai University, Aizu University, Fukushima, Japan, INSPEC Abstract No. C2001-11-1250B012, Sep. 2001, Total of 1 page. |
Sourd, et al., “An Efficient Algorithm for the Earliness-Tardiness Scheduling Problem”, Working Paper LIP6, retrieved online from: http://www.optimization-online-org/DB—HTML/2005/09/1205.html, Sep. 7, 2005, 15 oages. |
Srihari, S. et al., “Cherry Blossom: A System for Japanese Character Recognition”, Center for Excellence for Document Analysis and Recognition, State University of New York at Buffalo, Buffalo, NY, 1997, Total of 15 pages. |
Stockton, R. et al., “JKanji: Wavelet-based Interactive Kanji Competition”, Proceedings of the 15th International Conference on Pattern Recognition, Sep. 3-7, 2000, 2000, Total of 1 page. |
Tam, Sun Ying , “Getting organized with Microsoft Outlook 97”, Home PC No. 412, Dec. 1997, p. 185. |
Vuurpijl, L. et al., “Coarse Writing-Style Clustering Based on Simple Stroke-Related Features”, Institute for Cognition and Information, University of Nijmegen, Nijmegen, The Netherlands, 1997, Total of 6 pages. |
Walker, Christy , “Vendors enhance calendar, messaging software options”, PC Week, vol. 14, No. 48, Nov. 17, 1997, p. 15. |
Woods, Wendy , “Supercalendar”, Newsbytes News Network, Feb. 22, 2000, 1 page. |
Zhai, Shumin , “Shorthand Writing on Stylus Keyboard”, CHI 2003, Kristensson, Per-Ola (Additional Author), vol. 5 No. (1), 2003, 97-104. |
Zheng, Jing et al., “Recognizing On-Line Handwritten Chinese Character Via FARG Matching”, Proceedings of the Fourth International Conference on Document Analysis and Recognition, Aug. 18-20, 1997, INSPEC Abstract No. B9711-6140C-162, C971-5260B-123, 1997, Total of 1 page. |
Number | Date | Country | |
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20130100031 A1 | Apr 2013 | US |
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