Patents by Inventor Adam Finkelstein

Adam Finkelstein has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12045560
    Abstract: Systems and methods are disclosed for manually and programmatically remediating websites to thereby facilitate website navigation by people with diverse abilities. For example, an administrator portal is provided for simplified, form-based creation and deployment of remediation code, and a machine learning system is utilized to create and suggest remediations based on past remediation history. Voice command systems and portable document format (PDF) remediation techniques are also provided for improving the accessibility of such websites.
    Type: Grant
    Filed: June 29, 2023
    Date of Patent: July 23, 2024
    Assignee: AudioEye, Inc.
    Inventors: Sean D. Bradley, Mark D. Baker, Jeffrey O. Jones, Kenny P. Hefner, Adam Finkelstein, Douglas J. Gilormo, Taylor R. Bodnar, David C. Pinckney, Charlie E. Blevins, Helena Laymon, Trevor C. Jones, Damien M. Carrillo
  • Publication number: 20240193348
    Abstract: Systems and methods are disclosed for manually and programmatically remediating websites to thereby facilitate website navigation by people with diverse abilities. For example, an administrator portal is provided for simplified, form-based creation and deployment of remediation code, and a machine learning system is utilized to create and suggest remediations based on past remediation history. Voice command systems and portable document format (PDF) remediation techniques are also provided for improving the accessibility of such websites.
    Type: Application
    Filed: June 29, 2023
    Publication date: June 13, 2024
    Inventors: Sean D. Bradley, Mark D. Baker, Jeffrey O. Jones, Kenny P. Hefner, Adam Finkelstein, Douglas J. Gilormo, Taylor R. Bodnar, David C. Pinckney, Charlie E. Blevins, Helena Laymon, Trevor C. Jones, Damien M. Carrillo
  • Patent number: 11836441
    Abstract: Methods and systems for manual and programmatic remediation of websites. JavaScript code is accessed by a user device and optionally calls TTS, ASR, and RADAE modules from a remote server to thereby facilitate website navigation by people with diverse abilities.
    Type: Grant
    Filed: September 14, 2021
    Date of Patent: December 5, 2023
    Assignee: AudioEye, Inc.
    Inventors: Sean D. Bradley, Mark D. Baker, Jeffrey O. Jones, Kenny P. Hefner, Adam Finkelstein, Douglas J. Gilormo, Taylor R. Bodnar, David C. Pinckney, Charlie E. Blevins, Trevor C. Jones, Helena Laymon
  • Patent number: 11727195
    Abstract: Systems and methods are disclosed for manually and programmatically remediating websites to thereby facilitate website navigation by people with diverse abilities. For example, an administrator portal is provided for simplified, form-based creation and deployment of remediation code, and a machine learning system is utilized to create and suggest remediations based on past remediation history. Voice command systems and portable document format (PDF) remediation techniques are also provided for improving the accessibility of such websites.
    Type: Grant
    Filed: June 29, 2022
    Date of Patent: August 15, 2023
    Assignee: AudioEye, Inc.
    Inventors: Sean D. Bradley, Mark D. Baker, Jeffrey O. Jones, Kenny P. Hefner, Adam Finkelstein, Douglas J. Gilormo, Taylor R. Bodnar, David C. Pinckney, Charlie E. Blevins, Helena Laymon, Trevor C. Jones, Damien M. Carrillo
  • Patent number: 11514925
    Abstract: Operations of a method include receiving a request to enhance a new source audio. Responsive to the request, the new source audio is input into a prediction model that was previously trained. Training the prediction model includes providing a generative adversarial network including the prediction model and a discriminator. Training data is obtained including tuples of source audios and target audios, each tuple including a source audio and a corresponding target audio. During training, the prediction model generates predicted audios based on the source audios. Training further includes applying a loss function to the predicted audios and the target audios, where the loss function incorporates a combination of a spectrogram loss and an adversarial loss. The prediction model is updated to optimize that loss function. After training, based on the new source audio, the prediction model generates a new predicted audio as an enhanced version of the new source audio.
    Type: Grant
    Filed: April 30, 2020
    Date of Patent: November 29, 2022
    Assignees: ADOBE INC., THE TRUSTEES OF PRINCETON UNIVERSITY
    Inventors: Zeyu Jin, Jiaqi Su, Adam Finkelstein
  • Patent number: 11455458
    Abstract: Systems and methods are disclosed for manually and programmatically remediating websites to thereby facilitate website navigation by people with diverse abilities. For example, an administrator portal is provided for simplified, form-based creation and deployment of remediation code, and a machine learning system is utilized to create and suggest remediations based on past remediation history. Voice command systems and portable document format (PDF) remediation techniques are also provided for improving the accessibility of such websites.
    Type: Grant
    Filed: September 14, 2021
    Date of Patent: September 27, 2022
    Assignee: AudioEye, Inc.
    Inventors: Sean D. Bradley, Mark D. Baker, Jeffrey O. Jones, Kenny P. Hefner, Adam Finkelstein, Douglas J. Gilormo, Taylor R. Bodnar, David C. Pinckney, Charlie E. Blevins, Helena Laymon, Trevor C. Jones, Damien M. Carrillo
  • Publication number: 20220269849
    Abstract: Methods and systems for manual and programmatic remediation of websites. JavaScript code is accessed by a user device and optionally calls TTS, ASR, and RADAE modules from a remote server to thereby facilitate website navigation by people with diverse abilities.
    Type: Application
    Filed: September 14, 2021
    Publication date: August 25, 2022
    Inventors: Sean D. Bradley, Mark D. Baker, Jeffrey O. Jones, Kenny P. Hefner, Adam Finkelstein, Douglas J. Gilormo, Taylor R. Bodnar, David C. Pinckney, Charlie E. Blevins, Trevor C. Jones, Helena Laymon
  • Publication number: 20220245327
    Abstract: Systems and methods are disclosed for manually and programmatically remediating websites to thereby facilitate website navigation by people with diverse abilities. For example, an administrator portal is provided for simplified, form-based creation and deployment of remediation code, and a machine learning system is utilized to create and suggest remediations based on past remediation history. Voice command systems and portable document format (PDF) remediation techniques are also provided for improving the accessibility of such websites.
    Type: Application
    Filed: September 14, 2021
    Publication date: August 4, 2022
    Inventors: Sean D. Bradley, Mark D. Baker, Jeffrey O. Jones, Kenny P. Hefner, Adam Finkelstein, Douglas J. Gilormo, Taylor R. Bodnar, David C. Pinckney, Charlie E. Blevins, Helena Laymon, Trevor C. Jones, Damien M. Carrillo
  • Patent number: 11361467
    Abstract: This disclosure generally relates to character animation. More specifically, this disclosure relates to pose selection using data analytics techniques applied to training data, and generating 2D animations of illustrated characters using performance data and the selected poses. An example process or system includes extracting sets of joint positions from a training video including the subject, grouping the plurality of frames into frame groups using the sets of joint positions for each frame, identifying a representative frame for each frame group using the frame groups, clustering the frame groups into clusters using the representative frames, outputting a visualization of the clusters at a user interface, and receiving a selection of a cluster for animation of the subject.
    Type: Grant
    Filed: November 22, 2019
    Date of Patent: June 14, 2022
    Assignees: Adobe Inc., Princeton University
    Inventors: Wilmot Li, Hijung Shin, Adam Finkelstein, Nora Willett
  • Patent number: 11282257
    Abstract: This disclosure generally relates to character animation. More specifically, but not by way of limitation, this disclosure relates to pose selection using data analytics techniques applied to training data, and generating 2D animations of illustrated characters using performance data and the selected poses. An example process or system includes obtaining a selection of training poses of the subject and a set of character poses, obtaining a performance video of the subject, wherein the performance video includes a plurality of performance frames that include poses performed by the subject, grouping the plurality of performance frames into groups of performance frames, assigning a selected training pose from the selection of training poses to each group of performance frames using the clusters of training frames, generating a sequence of character poses based on the groups of performance frames and their assigned training poses, outputting the sequence of character poses.
    Type: Grant
    Filed: November 22, 2019
    Date of Patent: March 22, 2022
    Assignees: Adobe Inc., Princeton University
    Inventors: Wilmot Li, Hijung Shin, Adam Finkelstein, Nora Willett
  • Publication number: 20210343305
    Abstract: Operations of a method include receiving a request to enhance a new source audio. Responsive to the request, the new source audio is input into a prediction model that was previously trained. Training the prediction model includes providing a generative adversarial network including the prediction model and a discriminator. Training data is obtained including tuples of source audios and target audios, each tuple including a source audio and a corresponding target audio. During training, the prediction model generates predicted audios based on the source audios. Training further includes applying a loss function to the predicted audios and the target audios, where the loss function incorporates a combination of a spectrogram loss and an adversarial loss. The prediction model is updated to optimize that loss function. After training, based on the new source audio, the prediction model generates a new predicted audio as an enhanced version of the new source audio.
    Type: Application
    Filed: April 30, 2020
    Publication date: November 4, 2021
    Inventors: Zeyu Jin, Jiaqi Su, Adam Finkelstein
  • Patent number: 11157682
    Abstract: Methods and systems for manual and programmatic remediation of websites. JavaScript code is accessed by a user device and optionally calls TTS, ASR, and RADAE modules from a remote server to thereby facilitate website navigation by people with diverse abilities.
    Type: Grant
    Filed: January 12, 2021
    Date of Patent: October 26, 2021
    Assignee: AudioEye, Inc.
    Inventors: Sean D. Bradley, Mark D. Baker, Jeffrey O. Jones, Kenny P. Hefner, Adam Finkelstein, Douglas J. Gilormo, Taylor R. Bodnar, David C. Pinckney, Charlie E. Blevins, Trevor C. Jones, Helena Laymon
  • Patent number: 11151304
    Abstract: Systems and methods are disclosed for manually and programmatically remediating websites to thereby facilitate website navigation by people with diverse abilities. For example, an administrator portal is provided for simplified, form-based creation and deployment of remediation code, and a machine learning system is utilized to create and suggest remediations based on past remediation history. Voice command systems and portable document format (PDF) remediation techniques are also provided for improving the accessibility of such websites.
    Type: Grant
    Filed: December 11, 2020
    Date of Patent: October 19, 2021
    Assignee: AudioEye, Inc.
    Inventors: Sean D. Bradley, Mark D. Baker, Jeffrey O. Jones, Kenny P. Hefner, Adam Finkelstein, Douglas J. Gilormo, Taylor R. Bodnar, David C. Pinckney, Charlie E. Blevins, Helena Laymon, Trevor C. Jones, Damien M. Carrillo
  • Publication number: 20210256201
    Abstract: Methods and systems for manual and programmatic remediation of websites. JavaScript code is accessed by a user device and optionally calls TTS, ASR, and RADAE modules from a remote server to thereby facilitate website navigation by people with diverse abilities.
    Type: Application
    Filed: February 5, 2021
    Publication date: August 19, 2021
    Inventors: Sean D. Bradley, Mark D. Baker, Jeffrey O. Jones, Kenny P. Hefner, Adam Finkelstein, Douglas J. Gilormo, Taylor R. Bodnar, David C. Pinckney, Charlie E. Blevins, Trevor C. Jones, Helena Laymon
  • Patent number: 11080469
    Abstract: Methods and systems for manual and programmatic remediation of websites. JavaScript code is accessed by a user device and optionally calls TTS, ASR, and RADAE modules from a remote server to thereby facilitate website navigation by people with diverse abilities.
    Type: Grant
    Filed: February 5, 2021
    Date of Patent: August 3, 2021
    Assignee: AudioEye, Inc.
    Inventors: Sean D. Bradley, Mark D. Baker, Jeffrey O. Jones, Kenny P. Hefner, Adam Finkelstein, Douglas J. Gilormo, Taylor R. Bodnar, David C. Pinckney, Charlie E. Blevins, Trevor C. Jones, Helena Laymon
  • Patent number: 11061532
    Abstract: Methods and systems for manual and programmatic remediation of websites. JavaScript code is accessed by a user device and optionally calls TTS, ASR, and RADAE modules from a remote server to thereby facilitate website navigation by people with diverse abilities.
    Type: Grant
    Filed: February 5, 2021
    Date of Patent: July 13, 2021
    Assignee: AudioEye, Inc.
    Inventors: Sean D. Bradley, Mark D. Baker, Jeffrey O. Jones, Kenny P. Hefner, Adam Finkelstein, Douglas J. Gilormo, Taylor R. Bodnar, David C. Pinckney, Charlie E. Blevins, Trevor C. Jones, Helena Laymon
  • Patent number: 11029815
    Abstract: Methods and systems for manual and programmatic remediation of websites. JavaScript code is accessed by a user device and optionally calls TTS, ASR, and RADAE modules from a remote server to thereby facilitate website navigation by people with diverse abilities.
    Type: Grant
    Filed: February 5, 2021
    Date of Patent: June 8, 2021
    Assignee: AudioEye, Inc.
    Inventors: Sean D. Bradley, Mark D. Baker, Jeffrey O. Jones, Kenny P. Hefner, Adam Finkelstein, Douglas J. Gilormo, Taylor R. Bodnar, David C. Pinckney, Charlie E. Blevins, Trevor C. Jones, Helena Laymon
  • Publication number: 20210165950
    Abstract: Systems and methods are disclosed for manually and programmatically remediating websites to thereby facilitate website navigation by people with diverse abilities. For example, an administrator portal is provided for simplified, form-based creation and deployment of remediation code, and a machine learning system is utilized to create and suggest remediations based on past remediation history. Voice command systems and portable document format (PDF) remediation techniques are also provided for improving the accessibility of such websites.
    Type: Application
    Filed: December 11, 2020
    Publication date: June 3, 2021
    Inventors: Sean D. Bradley, Mark D. Baker, Jeffrey O. Jones, Kenny P. Hefner, Adam Finkelstein, Douglas J. Gilormo, Taylor R. Bodnar, David C. Pinckney, Charlie E. Blevins, Helena Laymon, Trevor C. Jones, Damien M. Carrillo
  • Publication number: 20210165951
    Abstract: Methods and systems for manual and programmatic remediation of websites. JavaScript code is accessed by a user device and optionally calls TTS, ASR, and RADAE modules from a remote server to thereby facilitate website navigation by people with diverse abilities.
    Type: Application
    Filed: January 12, 2021
    Publication date: June 3, 2021
    Inventors: Sean D. Bradley, Mark D. Baker, Jeffrey O. Jones, Kenny P. Hefner, Adam Finkelstein, Douglas J. Gilormo, Taylor R. Bodnar, David C. Pinckney, Charlie E. Blevins, Trevor C. Jones, Helena Laymon
  • Publication number: 20210157474
    Abstract: Methods and systems for manual and programmatic remediation of websites. JavaScript code is accessed by a user device and optionally calls TTS, ASR, and RADAE modules from a remote server to thereby facilitate website navigation by people with diverse abilities.
    Type: Application
    Filed: February 5, 2021
    Publication date: May 27, 2021
    Inventors: Sean D. Bradley, Mark D. Baker, Jeffrey O. Jones, Kenny P. Hefner, Adam Finkelstein, Douglas J. Gilormo, Taylor R. Bodnar, David C. Pinckney, Charlie E. Blevins, Trevor C. Jones, Helena Laymon