Abstract:
Biofeedback virtual reality sleep assistant technologies monitor one or more physiological parameters while presenting an immersive environment. The presentation of the immersive environment changes over time in response to changes in the values of the physiological parameters. The changes in the presentation of the immersive environment are configured using biofeedback technology and are designed to promote sleep.
Abstract:
In an example, a system includes processing circuitry in communication with storage media. The processing circuitry is configured to execute a machine learning system including at least a first module, a second module and a third module. The machine learning system is configured to train one or more machine learning models. The first module is configured to generate augmented input data based on the streaming input data. The second module includes a machine learning model configured to perform a specific task based at least in part on the augmented input data. The third module configured to adapt a network architecture of the one or more machine learning models based on changes in the streaming input data.
Abstract:
Biofeedback virtual reality sleep assistant technologies monitor one or more physiological parameters while presenting an immersive environment. The presentation of the immersive environment changes over time in response to changes in the values of the physiological parameters. The changes in the presentation of the immersive environment are configured using biofeedback technology and are designed to promote sleep.
Abstract:
Biofeedback virtual reality sleep assistant technologies monitor one or more physiological parameters while presenting an immersive environment. The presentation of the immersive environment changes over time in response to changes in the values of the physiological parameters. The changes in the presentation of the immersive environment are configured using biofeedback technology and are designed to promote sleep.
Abstract:
A method, apparatus and system for determining change in pose of a mobile device include determining from first ranging information received at a first and a second receiver on the mobile device from a stationary node during a first time instance, a distance from the stationary node to the first receiver and the second receiver, determining from second ranging information received at the first receiver and the second receiver from the stationary node during a second time instance, a distance from the stationary node to the first receiver and second receiver, and determining from the determined distances during the first time instance and the second time instance, how far and in which direction the first receiver and the second receiver moved between the first time instance and the second time instance to determine a change in pose of the mobile device, where a position of the stationary node is unknown.
Abstract:
A computing system for virtual personal assistance includes technologies to, among other things, correlate an external representation of an object with a real world view of the object, display virtual elements on the external representation of the object and/or display virtual elements on the real world view of the object, to provide virtual personal assistance in a multi-step activity or another activity that involves the observation or handling of an object and a reference document.
Abstract:
A computing system for virtual personal assistance includes technologies to, among other things, correlate an external representation of an object with a real world view of the object, display virtual elements on the external representation of the object and/or display virtual elements on the real world view of the object, to provide virtual personal assistance in a multi-step activity or another activity that involves the observation or handling of an object and a reference document.