Patents Assigned to Senapps, LLC
  • Patent number: 8672683
    Abstract: A computer-based abacus training system is provided. The system can include a simulated abacus display, means for outputting problems to be solved by a user, means for accepting input from the user, and means for checking the user's solution. Display can be of a simulated abacus, simulated hand movements, or both. Conversion between text-form and abacus-form representations can be included.
    Type: Grant
    Filed: January 27, 2011
    Date of Patent: March 18, 2014
    Assignee: Senapps, LLC
    Inventors: Steven Nelson Long, Cary David Belt, Craig Golightly, James Lisonbee, Gregory Oaks, Mark Hildor Nelson
  • Publication number: 20120014603
    Abstract: Techniques for recognizing discrete multi-component symbolic input from a user can be applied to, for example, handwriting or speech. The techniques can include providing a database of model input sequences, where each model input sequence corresponds to a symbol to be recognized. Input functions, for example, discrete strokes, are obtained from a user and segmented into a sequence of discrete components. Hypothesis symbol sequences are obtained by comparing the discrete components to a database of symbols to be recognized and updating hypothesis symbol sequences based on the results of the comparison and hypothesis symbol sequence history from input previously acquired in time.
    Type: Application
    Filed: September 23, 2011
    Publication date: January 19, 2012
    Applicant: SENAPPS, LLC.
    Inventors: Thayne S. Batty, Steven N. Long
  • Patent number: 8050500
    Abstract: Techniques for recognizing discrete multi-component symbolic input from a user can be applied to, for example, handwriting or speech. The techniques can include providing a database of model input sequences, where each model input sequence corresponds to a symbol to be recognized. Input functions, for example, discrete strokes, are obtained from a user and segmented into a sequence of discrete components. Hypothesis symbol sequences are obtained by comparing the discrete components to a database of symbols to be recognized and updating hypothesis symbol sequences based on the results of the comparison and hypothesis symbol sequence history from input previously acquired in time.
    Type: Grant
    Filed: July 6, 2007
    Date of Patent: November 1, 2011
    Assignee: Senapps, LLC
    Inventors: Thayne S. Batty, Steven N. Long
  • Publication number: 20110151417
    Abstract: A computer-based abacus training system is provided. The system can include a simulated abacus display, means for outputting problems to be solved by a user, means for accepting input from the user, and means for checking the user's solution. Display can be of a simulated abacus, simulated hand movements, or both. Conversion between text-form and abacus-form representations can be included.
    Type: Application
    Filed: January 27, 2011
    Publication date: June 23, 2011
    Applicant: SENAPPS LLC
    Inventors: Steven Nelson Long, Cary David Belt, Craig Golightly, James Lisonbee, Gregory Oaks, Mark Hildor Nelson