Patents by Inventor Adrian Gasinski

Adrian Gasinski 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).

  • Publication number: 20220083880
    Abstract: The technology disclosed relates to manipulating a virtual object. In particular, it relates to detecting a hand in a three-dimensional (3D) sensory space and generating a predictive model of the hand, and using the predictive model to track motion of the hand. The predictive model includes positions of calculation points of fingers, thumb and palm of the hand. The technology disclosed relates to dynamically selecting at least one manipulation point proximate to a virtual object based on the motion tracked by the predictive model and positions of one or more of the calculation points, and manipulating the virtual object by interaction between at least some of the calculation points of the predictive model and the dynamically selected manipulation point.
    Type: Application
    Filed: November 22, 2021
    Publication date: March 17, 2022
    Applicant: Ultrahaptics IP Two Limited
    Inventors: David S. HOLZ, Raffi BEDIKIAN, Adrian GASINSKI, Maxwell SILLS, Hua YANG, Gabriel HARE
  • Patent number: 11182685
    Abstract: The technology disclosed relates to manipulating a virtual object. In particular, it relates to detecting a hand in a three-dimensional (3D) sensory space and generating a predictive model of the hand, and using the predictive model to track motion of the hand. The predictive model includes positions of calculation points of fingers, thumb and palm of the hand. The technology disclosed relates to dynamically selecting at least one manipulation point proximate to a virtual object based on the motion tracked by the predictive model and positions of one or more of the calculation points, and manipulating the virtual object by interaction between at least some of the calculation points of the predictive model and the dynamically selected manipulation point.
    Type: Grant
    Filed: June 5, 2018
    Date of Patent: November 23, 2021
    Assignee: Ultrahaptics IP Two Limited
    Inventors: David S. Holz, Raffi Bedikian, Adrian Gasinski, Maxwell Sills, Hua Yang, Gabriel Hare
  • Publication number: 20200356238
    Abstract: The technology disclosed relates to providing simplified manipulation of virtual objects by detected hand motions. In particular, it relates to a detecting hand motion and positions of the calculation points relative to a virtual object to be manipulated, dynamically selecting at least one manipulation point proximate to the virtual object based on the detected hand motion and positions of one or more of the calculation points, and manipulating the virtual object by interaction between the detected hand motion and positions of one or more of the calculation points and the dynamically selected manipulation point.
    Type: Application
    Filed: July 28, 2020
    Publication date: November 12, 2020
    Applicant: Ultrahaptics IP Two Limited
    Inventors: David S. HOLZ, Raffi BEDIKIAN, Adrian GASINSKI, Hua YANG, Gabriel A. HARE, Maxwell SILLS
  • Patent number: 10739965
    Abstract: The technology disclosed relates to providing simplified manipulation of virtual objects by detected hand motions. In particular, it relates to a detecting hand motion and positions of the calculation points relative to a virtual object to be manipulated, dynamically selecting at least one manipulation point proximate to the virtual object based on the detected hand motion and positions of one or more of the calculation points, and manipulating the virtual object by interaction between the detected hand motion and positions of one or more of the calculation points and the dynamically selected manipulation point.
    Type: Grant
    Filed: December 20, 2018
    Date of Patent: August 11, 2020
    Assignee: Ultrahaptics IP Two Limited
    Inventors: David S. Holz, Raffi Bedikian, Adrian Gasinski, Hua Yang, Gabriel A. Hare, Maxwell Sills
  • Publication number: 20200004403
    Abstract: The technology disclosed relates to using virtual attraction between hand or other control object in a three-dimensional (3D) sensory space and a virtual object in a virtual space. In particular, it relates to defining a virtual attraction zone of a hand or other control object that is tracked in a three-dimensional (3D) sensory space and generating one or more interaction forces between the control object and a virtual object in a virtual space that cause motion of the virtual object responsive to proximity of the control object to the virtual object and escalation with a virtual pinch or grasp action of the control object directed to a manipulation point of the virtual object.
    Type: Application
    Filed: September 11, 2019
    Publication date: January 2, 2020
    Applicant: Ultrahaptics IP Two Limited
    Inventors: David S HOLZ, Raffi BEDIKIAN, Adrian GASINSKI, Hua YANG, Maxwell SILLS, Gabriel HARE
  • Patent number: 10416834
    Abstract: The technology disclosed relates to using virtual attraction between hand or other control object in a three-dimensional (3D) sensory space and a virtual object in a virtual space. In particular, it relates to defining a virtual attraction zone of a hand or other control object that is tracked in a three-dimensional (3D) sensory space and generating one or more interaction forces between the control object and a virtual object in a virtual space that cause motion of the virtual object responsive to proximity of the control object to the virtual object and escalation with a virtual pinch or grasp action of the control object directed to a manipulation point of the virtual object.
    Type: Grant
    Filed: November 13, 2014
    Date of Patent: September 17, 2019
    Assignee: Leap Motion, Inc.
    Inventors: David S Holz, Raffi Bedikian, Adrian Gasinski, Hua Yang, Maxwell Sills, Gabriel Hare
  • Publication number: 20190146660
    Abstract: The technology disclosed relates to providing simplified manipulation of virtual objects by detected hand motions. In particular, it relates to a detecting hand motion and positions of the calculation points relative to a virtual object to be manipulated, dynamically selecting at least one manipulation point proximate to the virtual object based on the detected hand motion and positions of one or more of the calculation points, and manipulating the virtual object by interaction between the detected hand motion and positions of one or more of the calculation points and the dynamically selected manipulation point.
    Type: Application
    Filed: December 20, 2018
    Publication date: May 16, 2019
    Applicant: Leap Motion, Inc.
    Inventors: David S. HOLZ, Raffi BEDIKIAN, Adrian GASINSKI, Hua YANG, Gabriel A. HARE, Maxwell SILLS
  • Publication number: 20190042957
    Abstract: The technology disclosed relates to manipulating a virtual object. In particular, it relates to detecting a hand in a three-dimensional (3D) sensory space and generating a predictive model of the hand, and using the predictive model to track motion of the hand. The predictive model includes positions of calculation points of fingers, thumb and palm of the hand. The technology disclosed relates to dynamically selecting at least one manipulation point proximate to a virtual object based on the motion tracked by the predictive model and positions of one or more of the calculation points, and manipulating the virtual object by interaction between at least some of the calculation points of the predictive model and the dynamically selected manipulation point.
    Type: Application
    Filed: June 5, 2018
    Publication date: February 7, 2019
    Applicant: Leap Motion, Inc.
    Inventors: David S. HOLZ, Raffi BEDIKIAN, Adrian GASINSKI, Maxwell SILLS, Hua YANG, Gabriel HARE
  • Patent number: 10168873
    Abstract: The technology disclosed relates to providing simplified manipulation of virtual objects by detected hand motions. In particular, it relates to a detecting hand motion and positions of the calculation points relative to a virtual object to be manipulated, dynamically selecting at least one manipulation point proximate to the virtual object based on the detected hand motion and positions of one or more of the calculation points, and manipulating the virtual object by interaction between the detected hand motion and positions of one or more of the calculation points and the dynamically selected manipulation point.
    Type: Grant
    Filed: October 29, 2014
    Date of Patent: January 1, 2019
    Assignee: LEAP MOTION, INC.
    Inventors: David S Holz, Raffi Bedikian, Adrian Gasinski, Maxwell Sills, Hua Yang, Gabriel Hare
  • Patent number: 9996797
    Abstract: The technology disclosed relates to manipulating a virtual object. In particular, it relates to detecting a hand in a three-dimensional (3D) sensory space and generating a predictive model of the hand, and using the predictive model to track motion of the hand. The predictive model includes positions of calculation points of fingers, thumb and palm of the hand. The technology disclosed relates to dynamically selecting at least one manipulation point proximate to a virtual object based on the motion tracked by the predictive model and positions of one or more of the calculation points, and manipulating the virtual object by interaction between at least some of the calculation points of the predictive model and the dynamically selected manipulation point.
    Type: Grant
    Filed: October 31, 2014
    Date of Patent: June 12, 2018
    Assignee: LEAP MOTION, INC.
    Inventors: David S Holz, Raffi Bedikian, Adrian Gasinski, Maxwell Sills, Hua Yang, Gabriel Hare
  • Patent number: 9440148
    Abstract: A method and apparatus wherein complex physical interactions and collisions are modeled at a high level of detail while reducing the computational demands placed on the processing system. In one embodiment the method comprising the steps of defining a first object and a second object, each object adapted for colliding with the other object; assigning an interaction type for at least one of the first and second object in response to an object parameter; and selecting between a continuous simulation of a collision and a discrete simulation of the collision in response to the interaction type.
    Type: Grant
    Filed: December 6, 2010
    Date of Patent: September 13, 2016
    Assignee: TELEKINESYS RESEARCH LIMITED
    Inventors: Andrew Bond, Oliver Strunk, Adrian Gasinski
  • Patent number: 8437992
    Abstract: A method and apparatus wherein complex physical interactions and collisions are modeled at a high level of detail while reducing the computational demands placed on the processing system. In one embodiment the method comprising the steps of defining a first object and a second object, each object adapted for colliding with the other object; assigning an interaction type for at least one of the first and second object in response to an object parameter; and selecting between a continuous simulation of a collision and a discrete simulation of the collision in response to the interaction type.
    Type: Grant
    Filed: August 2, 2010
    Date of Patent: May 7, 2013
    Assignee: Telekinesys Research Limited
    Inventors: Andrew Bond, Oliver Strunk, Adrian Gasinski
  • Publication number: 20110077923
    Abstract: A method and apparatus wherein complex physical interactions and collisions are modeled at a high level of detail while reducing the computational demands placed on the processing system. In one embodiment the method comprising the steps of defining a first object and a second object, each object adapted for colliding with the other object; assigning an interaction type for at least one of the first and second object in response to an object parameter; and selecting between a continuous simulation of a collision and a discrete simulation of the collision in response to the interaction type.
    Type: Application
    Filed: December 6, 2010
    Publication date: March 31, 2011
    Applicant: TELEKINESYS RESEARCH LIMITED
    Inventors: Andrew Bond, Oliver Strunk, Adrian Gasinski
  • Publication number: 20100299121
    Abstract: A method and apparatus wherein complex physical interactions and collisions are modeled at a high level of detail while reducing the computational demands placed on the processing system. In one embodiment the method comprising the steps of defining a first object and a second object, each object adapted for colliding with the other object; assigning an interaction type for at least one of the first and second object in response to an object parameter; and selecting between a continuous simulation of a collision and a discrete simulation of the collision in response to the interaction type.
    Type: Application
    Filed: August 2, 2010
    Publication date: November 25, 2010
    Applicant: Telekinesys Research Limited
    Inventors: Andrew Bond, Oliver Strunk, Adrian Gasinski
  • Patent number: 7788071
    Abstract: A method and apparatus wherein complex physical interactions and collisions are modeled at a high level of detail while reducing the computational demands placed on the processing system. In one embodiment the method comprising the steps of defining a first object and a second object, each object adapted for colliding with the other object; assigning an interaction type for at least one of the first and second object in response to an object parameter; and selecting between a continuous simulation of a collision and a discrete simulation of the collision in response to the interaction type.
    Type: Grant
    Filed: December 2, 2005
    Date of Patent: August 31, 2010
    Assignee: Telekinesys Research Limited
    Inventors: Andrew Bond, Oliver Strunk, Adrian Gasinski
  • Publication number: 20060149516
    Abstract: A method and apparatus wherein complex physical interactions and collisions are modeled at a high level of detail while reducing the computational demands placed on the processing system. In one embodiment the method comprising the steps of defining a first object and a second object, each object adapted for colliding with the other object; assigning an interaction type for at least one of the first and second object in response to an object parameter; and selecting between a continuous simulation of a collision and a discrete simulation of the collision in response to the interaction type.
    Type: Application
    Filed: December 2, 2005
    Publication date: July 6, 2006
    Inventors: Andrew Bond, Oliver Strunk, Adrian Gasinski