U.S. patents available from 1976 to present.
U.S. patent applications available from 2005 to present.

Method for designing optimal single pointer predictive keyboards and apparatus therefore

Patent 6646572 Issued on November 11, 2003. Estimated Expiration Date: Icon_subject February 18, 2020. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

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Method for designing an ergonomic one-finger keyboard and apparatus therefor
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Patent #: 5625354
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Inventor: Lerman

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Patent #: 5784060
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Inventor: Bertram, et al.

Mobile client computer with hexagonal keyboard
Patent #: 5805157
Issued on: 09/08/1998
Inventor: Bertram, et al.

Enhancement of soft keyboard operations using trigram prediction
Patent #: 5963671
Issued on: 10/05/1999
Inventor: Comerford, et al.

Method and system for intelligent text entry on a numeric keypad
Patent #: 6005495
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Inventor

Assignee

Application

No. 09/506610 filed on 02/18/2000

US Classes:

341/22, Including keyboard or keypad341/23, Variable key legends341/34, Pressure sensitive actuation345/173, Touch panel382/230Trigrams or digrams

Examiners

Primary: Edwards, Timothy Jr.

Attorney, Agent or Firm

International Classes

G06F 3/023 (20060101)
G06F 3/033 (20060101)

Abstract

Keys are arranged on a keyboard as learned during a training stage. During training, a training corpus of input symbol sequence is provided. Each unique symbol in the corpus has an associated key on the keyboard. A cost function that measures a cost of inputting the symbols of the training corpus is globally minimized. Then, the keys are arranged on the keyboard according to the globally minimized cost function. To reduced the distance a pointer must move, the keys can also be arranged in a hexagonal pattern.

Other References

  • Ron et al. "The Power of Amnesia: Learning Probalistic Automata with Variable Memory Length"; Machine Learning, 1997
  • Guyon et al. "Design of a Linguistic Postprocessor Using Variable Memory length Markov Models"
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