| Patent application number | Description | Published |
|---|
| 20100194762 | Standard Gestures - Systems, methods and computer readable media are disclosed for grouping complementary sets of standard gestures into gesture libraries. The gestures may be complementary in that they are frequently used together in a context or in that their parameters are interrelated. Where a parameter of a gesture is set with a first value, all other parameters of the gesture and of other gestures in the gesture package that depend on the first value may be set with their own value which is determined using the first value. | 08-05-2010 |
| 20100199228 | Gesture Keyboarding - Systems, methods and computer readable media are disclosed for gesture keyboarding. A user makes a gesture by either making a pose or moving in a pre-defined way that is captured by a depth camera. The depth information provided by the depth camera is parsed to determine at least that part of the user that is making the gesture. When parsed, the character or action signified by this gesture is identified. | 08-05-2010 |
| 20100199229 | MAPPING A NATURAL INPUT DEVICE TO A LEGACY SYSTEM - Systems and methods for mapping natural input devices to legacy system inputs are disclosed. One example system may include a computing device having an algorithmic preprocessing module configured to receive input data containing a natural user input and to identify the natural user input in the input data. The computing device may further include a gesture module coupled to the algorithmic preprocessing module, the gesture module being configured to associate the natural user input to a gesture in a gesture library. The computing device may also include a mapping module to map the gesture to a legacy controller input, and to send the legacy controller input to a legacy system in response to the natural user input. | 08-05-2010 |
| 20100277489 | DETERMINE INTENDED MOTIONS - It may be desirable to apply corrective data to aspects of captured image or the user-performed gesture for display of a visual representation that corresponds to the corrective data. The captured motion may be any motion in the physical space that is captured by the capture device, such as a camera. Aspects of a skeletal or mesh model of a person, that is generated based on the image data captured by the capture device, may be modified prior to animation. The modification may be made to the model generated from image data that represents a target or a target's motion, including user gestures, in the physical space. For example, certain joints of a skeletal model may be readjusted or realigned. A model of a target may be modified by applying differential correction, magnetism principles, binary snapping, confining virtual movement to defined spaces, or the like. | 11-04-2010 |
| 20100302015 | SYSTEMS AND METHODS FOR IMMERSIVE INTERACTION WITH VIRTUAL OBJECTS - A system to present the user a 3-D virtual environment as well as non-visual sensory feedback for interactions that user makes with virtual objects in that environment is disclosed. In an exemplary embodiment, a system comprising a depth camera that captures user position and movement, a three-dimensional (3-D) display device that presents the user a virtual environment in 3-D and a haptic feedback device provides haptic feedback to the user as he interacts with a virtual object in the virtual environment. As the user moves through his physical space, he is captured by the depth camera. Data from that depth camera is parsed to correlate a user position with a position in the virtual environment. Where the user position or movement causes the user to touch the virtual object, that is determined, and corresponding haptic feedback is provided to the user. | 12-02-2010 |
| 20100302253 | REAL TIME RETARGETING OF SKELETAL DATA TO GAME AVATAR - Techniques for generating an avatar model during the runtime of an application are herein disclosed. The avatar model can be generated from an image captured by a capture device. End-effectors can be positioned an inverse kinematics can be used to determine positions of other nodes in the avatar model. | 12-02-2010 |
| 20100303289 | DEVICE FOR IDENTIFYING AND TRACKING MULTIPLE HUMANS OVER TIME - A system recognizes human beings in their natural environment, without special sensing devices attached to the subjects, uniquely identifies them and tracks them in three dimensional space. The resulting representation is presented directly to applications as a multi-point skeletal model delivered in real-time. The device efficiently tracks humans and their natural movements by understanding the natural mechanics and capabilities of the human muscular-skeletal system. The device also uniquely recognizes individuals in order to allow multiple people to interact with the system via natural movements of their limbs and body as well as voice commands/responses. | 12-02-2010 |
| 20100303302 | Systems And Methods For Estimating An Occluded Body Part - A depth image of a scene may be received, observed, or captured by a device. The depth image may include a human target that may have, for example, a portion thereof non-visible or occluded. For example, a user may be turned such that a body part may not be visible to the device, may have one or more body parts partially outside a field of view of the device, may have a body part or a portion of a body part behind another body part or object, or the like such that the human target associated with the user may also have a portion body part or a body part non-visible or occluded in the depth image. A position or location of the non-visible or occluded portion or body part of the human target associated with the user may then be estimated. | 12-02-2010 |
| 20100306712 | Gesture Coach - A capture device may capture a user's motion and a display device may display a model that maps to the user's motion, including gestures that are applicable for control. A user may be unfamiliar with a system that maps the user's motions or not know what gestures are applicable for an executing application. A user may not understand or know how to perform gestures that are applicable for the executing application. User motion data and/or outputs of filters corresponding to gestures may be analyzed to determine those cases where assistance to the user on performing the gesture is appropriate. | 12-02-2010 |
| 20100306714 | Gesture Shortcuts - Systems, methods and computer readable media are disclosed for gesture shortcuts. A user's movement or body position is captured by a capture device of a system, and is used as input to control the system. For a system-recognized gesture, there may be a full version of the gesture and a shortcut of the gesture. Where the system recognizes that either the full version of the gesture or the shortcut of the gesture has been performed, it sends an indication that the system-recognized gesture was observed to a corresponding application. Where the shortcut comprises a subset of the full version of the gesture, and both the shortcut and the full version of the gesture are recognized as the user performs the full version of the gesture, the system recognizes that only a single performance of the gesture has occurred, and indicates to the application as such. | 12-02-2010 |
| 20110055846 | TECHNIQUES FOR USING HUMAN GESTURES TO CONTROL GESTURE UNAWARE PROGRAMS - A capture device can detect gestures made by a user. The gestures can be used to control a gesture unaware program. | 03-03-2011 |
