Abstract: Sensor data damping is described, for example, to remove jitter from sensor data to enable control of a computing device. In various examples damped sensor data is compared with a threshold and clamped to the threshold in the case a difference between the sensor data and the damped sensor data is above the threshold. In various examples the damped data has low-latency and is used to control a downstream system such as a game system, natural user interface, robotic system, augmented reality system or other system. In examples, the threshold is adjusted on the fly on the basis of any one or more of: state data from the downstream system, frequency of clamping, velocity of the sensor data. In some examples, the sensor data comprises human/animal joint positions from a depth sensor.

Abstract: Technologies are described herein for dynamically remapping components of a virtual skeleton to enhance the control and appearance of an avatar. Embodiments disclosed herein may remap components of the virtual skeleton if a need for an enhancement, replacement or correction is identified. For example, one or more components of a virtual skeleton, e.g., a joint, hand, arm or leg, may be remapped with modeled components if the component is distorted, missing or incomplete. Components of a virtual skeleton may be remapped with modeled components if enhancements, augmentations, corrections or special effects are desired. A remapped skeleton defining one or more modeled components may be generated from model data. The remapped skeleton may be used to drive user-controlled animations having enhanced movement and appearance characteristics. In addition to driving user-controlled animations, the remapped skeleton may be used to drive robotic devices.

Abstract: Technologies are described herein for dynamically remapping components of a virtual skeleton to enhance the control and appearance of an avatar. Embodiments disclosed herein may remap components of the virtual skeleton if a need for an enhancement, replacement or correction is identified. For example, one or more components of a virtual skeleton, e.g., a joint, hand, arm or leg, may be remapped with modeled components if the component is distorted, missing or incomplete. Components of a virtual skeleton may be remapped with modeled components if enhancements, augmentations, corrections or special effects are desired. A remapped skeleton defining one or more modeled components may be generated from model data. The remapped skeleton may be used to drive user-controlled animations having enhanced movement and appearance characteristics. In addition to driving user-controlled animations, the remapped skeleton may be used to drive robotic devices.

Abstract: Technologies are described herein for dynamically remapping components of a virtual skeleton to enhance the control and appearance of an avatar. Embodiments disclosed herein may remap components of the virtual skeleton if a need for an enhancement, replacement or correction is identified. For example, one or more components of a virtual skeleton, e.g., a joint, hand, arm or leg, may be remapped with modeled components if the component is distorted, missing or incomplete. Components of a virtual skeleton may be remapped with modeled components if enhancements, augmentations, corrections or special effects are desired. A remapped skeleton defining one or more modeled components may be generated from model data. The remapped skeleton may be used to drive user-controlled animations having enhanced movement and appearance characteristics. In addition to driving user-controlled animations, the remapped skeleton may be used to drive robotic devices.

Abstract: Technologies are described herein for dynamically remapping components of a virtual skeleton to enhance the control and appearance of an avatar. Embodiments disclosed herein may remap components of the virtual skeleton if a need for an enhancement, replacement or correction is identified. For example, one or more components of a virtual skeleton, e.g., a joint, hand, arm or leg, may be remapped with modeled components if the component is distorted, missing or incomplete. Components of a virtual skeleton may be remapped with modeled components if enhancements, augmentations, corrections or special effects are desired. A remapped skeleton defining one or more modeled components may be generated from model data. The remapped skeleton may be used to drive user-controlled animations having enhanced movement and appearance characteristics. In addition to driving user-controlled animations, the remapped skeleton may be used to drive robotic devices.

Abstract: Technologies are described herein for dynamically directing an interpretation of input data based on contextual information associated with a virtual environment. According to one aspect of the disclosure, a computing device and a camera operate in concert to capture and interpret gestures of a human target to control a virtual skeleton, which may be visually represented as an avatar. Embodiments disclosed herein utilize filtering parameters in the interpretation of input data representing a state of the human target to generate output data that is used to direct the virtual skeleton and/or the avatar. The filtering parameters may be dynamically adjusted during runtime based on contextual information and other factors to dynamically change the way input data is interpreted. Dynamic adjustment of the filtering parameters during runtime may allow for an interpretation of input data that is more accurately aligned with a scenario presented in the virtual environment.

Abstract: Sensor data damping is described, for example, to remove jitter from sensor data to enable control of a computing device. In various examples damped sensor data is compared with a threshold and clamped to the threshold in the case a difference between the sensor data and the damped sensor data is above the threshold. In various examples the damped data has low-latency and is used to control a downstream system such as a game system, natural user interface, robotic system, augmented reality system or other system. In examples, the threshold is adjusted on the fly on the basis of any one or more of: state data from the downstream system, frequency of clamping, velocity of the sensor data. In some examples, the sensor data comprises human/animal joint positions from a depth sensor.