Patent CA-2619015-A1 (CA)
Inventor: VOON GERARD
IPC: G06F3/048
Filed: 2008-02-26
Abstract: We could use iris tracking technology so that as the user's gaze moves in chunks of height and above and below on the keyboard the digits keyboard appear on the screen.  Additionally with the addition of neural links that control the tool bar as well as dictionary search alphabetical order by each alphabet from left to right (as the word spelling begins to look familiar the User could use the neural link to verify the via definition) to create text via one word at a time. Then when the right letter and/or word appears, the User verifies via the neural link.   We could also include the ability to crosscheck the spelling of the word by voice recognition technology. Pronouncing the whole word or syllables, phonetics at time.  (And/or text to voice GP 1%) We could also use grammar (the place to the word in the sentence) and flag signs of irregularity in grammatical rules that suggest the type of word in question and the highly believed spelling letters and place of letters in the word. Additionally we could use Logic Language word recognition that is a filed patent by Gerard Voon.   Once the known characteristics of the word have been processed we could have a drop down menu of the possible words ranked by alphabetical order and/or highest probability, by uniqueness of word characteristics and/or most multi character matches. Then the User just concentrates to scroll down the menu list and concentrates on to switch the desired word.  We could use iris tracking technology so that as the user's gaze moves in chunks of height and above and below on the keyboard the digits keyboard appear on the screen.   Additionally with the addition of neural links that control the tool bar as well as dictionary search alphabetical order by each alphabet from left to right (as the word spelling begins to look familiar the User could use the neural link to verify the via definition) to create text via one word at a time. Then when the right letter and/or word appears, the User verifies via the neural link.   We could also include the ability to crosscheck the spelling of the word by voice recognition technology. Pronouncing the whole word or syllables, phonetics at time.  (And/or text to voice GP 1%).   We could also use grammar (the place to the word in the sentence) and flag signs of irregularity in grammatical rules that suggest the type of word in question and the highly believed spelling letters and place of letters in the word. Additionally we could use Logic Language word recognition that is a filed patent by Gerard Voon.   Once the known characteristics of the word have been processed we could have a drop down menu of the possible words ranked by alphabetical order and/or highest probability, by uniqueness of word characteristics and/or most multi character matches. Then the User just concentrates to scroll down the menu list and concentrates on to switch the desired word.  We could also use Neural Links (pattern recording and pattern stimulating replay - feedback) to communicate to recognize unique singling out (easy - very identifyingable, that stand out to single out words) versus words that have similarities to other words, of words. Some regular qualities include spelling, phonetic, syllable characteristics and meaning by explaining how the word is used how its is valued how it satisfies output by types and amounts of out to inputs and interactions/operations, and substitute words that overlap or come dose to satisfying usually the same input/output types and interactions/operations, and the context - such as used in basic conversation, specialist fields and sub topics, and ever changing entertainment trends.   We could also use Neural Links (pattern recording and pattern stimulating replay - feedback) to communicate (direct human networks and Artificial Intelligence through neural to text to, and/or neural) to recognize (one way is to record the brain/mind's pattern when it uses the clues below to piece together the identity of the word) unique singling out (easy - very identifyingable, that stand out to single out words) versus words that have similarities to other words, of the word in equation. Some regular qualities include spelling (location and tall to short amounts of letters in series pattern), phonetic, syllable characteristics and meaning by explaining how the word is used how its is valued how it satisfies output by types and amounts of out to inputs and interactions/operations, and substitute words that overlap (but may have a broader meaning or touch on meanings outside (or should not touch on) of the pure meaning the word in question possesses' - also precision (An 0.7%) required; cases where ulterior/alternative meanings take away from the impact for the communicatoree to grasp the specific effect (without interference/distraction from the ulterior/alternative meanings and/or scope of coverage that puts the communicators finger on the pulse of desired definition/expression of word chosen) that come close to satisfying usually the same input/output types and interactions/operations, and the context - such as used in basic conversation, specialist fields and sub topics, and ever changing entertainment trends -whereby past time/place context and emotions that shows up in the brain/mind patterns allow two way thought to text and text to thought conversions. We could also use grammar to give further rule/context (GP 0.7%) of place expected for whether a word is frequently used as subject and/or object depending on topic, and what the communicator is trying to prove or instruct. And the uniqueness of interactions/operations which is important (for easy identifying words).