Abstract: A remote expert application identifies a manipulation of virtual objects displayed in a first wearable device. The virtual objects are rendered based a physical object viewed with a second wearable device. A manipulation of the virtual objects is received from the first wearable device. A visualization of the manipulation of the virtual objects is generated for a display of the second wearable device. The visualization of the manipulation of the virtual objects is communicated to the second wearable device.

Abstract: A system and method for real-time texture mapping for an augmented reality system are described. A viewing device includes an optical sensor to capture an image of a real-world object. A texture extraction module extracts a texture of the image of the real-world object. A recognition module identifies the real-world object based on the captured image. A texture mapping module retrieves a virtual object corresponding to the identified real-world object, maps the texture to the virtual object, dynamically updates the texture to the virtual object in real time, and generates a visualization of the virtual object in a display of the viewing device.

Abstract: Visual gestures in a display device allow a user to select and activate features in a display of the display device. A sensor of the display device tracks an eye gaze of a user directed at a display of the display device. A visual gesture module identifies a predefined trigger zone in the display. A virtual object application displays a virtual object in the display based on the eye gaze of the user and the predefined trigger zone.

Abstract: A system and method for data manipulation based on real world object manipulation is described. A device captures an image of a physical object. The image is communicated via a network to a remote server. The remote server includes virtual object data associated with the image and a communication notification for a user of the computing device. The device receives the virtual object data and displays the virtual image in a virtual landscape using the virtual object data. In response to relative movement between the computing device and the physical object caused by the user, the virtual image is modified.

Abstract: A head mounted device includes a helmet with a guide, a lens frame, at least one display surface mounted to the lens frame. The guide extends from a cavity of the helmet. The lens frame is moveably connected to the guide and moves along an axis of the guide between a first position within the cavity of the helmet and a second position outside the cavity of the helmet. The display surface is transparent and configured to display augmented reality content.

Abstract: A system and method for visualization of physical characteristics are described. A sensor coupled to an object generates live data. Physical characteristics of the object are computed using the live data. A visualization of the physical characteristics of the object is generated and communicated to a viewing device configured to capture an image of the object. The viewing device augments the image of the object with the visualization of the physical characteristics of the object.

Abstract: A head mounted device (HMD) includes a transparent display, sensors to generate sensor data, and a processor. The processor identifies a threat condition based on a threat pattern and the sensor data, and generates a warning notification in response to the identified threat condition. The threat pattern includes preconfigured thresholds for the sensor data. The HMD displays AR content comprising the warning notification in the transparent display.

Abstract: A contextual local image recognition module of a device retrieves a primary content dataset from a server and then generates and updates a contextual content dataset based on an image captured with the device. The device stores the primary content dataset and the contextual content dataset. The primary content dataset comprises a first set of images and corresponding virtual object models. The contextual content dataset comprises a second set of images and corresponding virtual object models retrieved from the server.

Abstract: A system and method for generating a dynamic sensor array for an augmented reality system is described. A head mounted device includes one or more sensors, an augmented reality (AR) application, and a sensor array module. The sensor array module identifies available sensors from other head mounted devices that are geographically located within a predefined area. A dynamic sensor array is formed based on the available sensors and the one or more sensors. The dynamic sensor array is updated based on an operational status of the available sensors and the one or more sensors. The AR application generates AR content based on data from the dynamic sensor array. A display of the head mounted device displays the AR content.

Abstract: A head mounted device includes a sensor, a transparent display, and a processor comprising an augmented reality application and an alignment module. The augmented reality application generates a virtual content based on data from the sensor, and displays the virtual content in the transparent display. The alignment module detects an initialization of the augmented reality application and causes a temporary display of an alignment indicator in the transparent display in response to detecting the initialization of the augmented reality application.

Abstract: A system and method for identifying changes in a state or activity is described. A real-time event monitoring application, implemented in a hardware processor, computes features over varying sampling periods, which are stored in cascading buffers. The various sampling periods enable determination of trends of a computed feature, comparison of the trends of the computed feature with trends of other features, normalization of the computed feature based on the same or different features at the same or different time scales, scaling of the normalized computed feature relative to other features at the same or different time scale, and identification of a change in state or activity based on a scaled normalized computed feature.

Abstract: A head-mounted device (HMD) includes sensors, a transparent display, a processor comprising an augmented reality (AR) application and an AR user interface module. The AR application generates virtual content based on sensing data from the sensors, and displays the virtual content in the transparent display. The AR user interface module generates an AR user interface that is positioned outside a field of view of a user based on the HMD being oriented at a reference pitch angle, causes a display of the AR user interface in the transparent display within the field of view of the user based on the HMD being oriented at a second pitch angle greater than the reference pitch angle, and causes a navigation of the AR user interface in response to a motion of the HMD and an eye gaze of the user matching a user interface trigger pattern.

Abstract: A server receives and analyzes analytics data from an application of one or more devices. The application corresponds to a content generator. The server generates, using the content generator, a visualization content dataset based on the analysis of the analytics data. The visualization content dataset comprises a set of images, along with corresponding analytics virtual object models to be engaged with an image of a physical object captured with the one or more devices and recognized in the set of images. The analytics data and the visualization content dataset may be stored in a storage device of the server.

Abstract: A head mounted device includes a sensor, a transparent display, and a processor comprising an augmented reality application and an alignment module. The augmented reality application generates a virtual content based on data from the sensor, and displays the virtual content in the transparent display. The alignment module detects an initialization of the augmented reality application and causes a temporary display of an alignment indicator in the transparent display in response to detecting the initialization of the augmented reality application.

Abstract: A system and method for identifying changes in a state or activity is described. A real-time event monitoring application, implemented in a hardware processor, computes features over varying sampling periods, which are stored in cascading buffers. The various sampling periods enable determination of trends of a computed feature, comparison of the trends of the computed feature with trends of other features, normalization of the computed feature based on the same or different features at the same or different time scales, scaling of the normalized computed feature relative to other features at the same or different time scale, and identification of a change in state or activity based on a scaled normalized computed feature.

Abstract: An application generates instructions to a wearable device to remotely activate a sensor in the wearable device and to receive sensor data from the sensor. A query related to a physical object is received. Instructions to wearable devices are generated to remotely activate at least one sensor of the wearable devices in response to the query. Sensor data is received from at least one of the wearable devices in response to that wearable device being within a range of the physical object.

Abstract: A system and method for visualization of physical interactions are described. Objects in a scene are captured with a viewing device. Physical characteristics of the objects are computed using data from at least one sensor corresponding to the objects. A physics model of predicted interactions between the one or more objects is generated using the physical characteristics of the objects. An interaction visualization is generated based on the physics model of the predicted interactions between the one or more objects. An image of the one or more objects is augmented with the interaction visualization in a display of the viewing device.

Abstract: An augmented reality (AR) device comprises a transparent display, a thermal sensor, a depth sensor, and a processor. The thermal sensor generates thermal data related to physical objects detected by the AR device. A thermal baseline identification engine forms a thermal baseline using data from infrared imaging and depth profiling sensors, thermal data of the physical objects in a mapped 3D space, thermal context of the objects both spatially and based on their operating status, and their thermal parameters. A thermal anomaly identification engine identifies a thermal anomaly based on the established thermal baseline and the real time measurements, and generates a warning notification in response to the identified thermal anomaly.