Abstract: In example implementations, an apparatus is provided. The apparatus includes a physiological sensor, a memory, and a processor. The physiological sensor is to measure a physiological parameter. The memory is to store an extended reality application and a baseline level for the physiological parameter. The processor is in communication with the physiological sensor and the memory. The processor is to execute the extended reality application. In response to the physiological parameter exceeding the baseline level by a difference threshold, the processor is to adjust the extended reality application.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a body portion and a plurality of legs movably coupled to the body portion. The body portion is to rest on a backside of a hand of a user. Each one of the plurality of legs include a curved portion to fit between fingers of a user. Respective ends of the plurality of legs are to contact a palm of the user.

Abstract: An example non-transitory machine-readable medium includes instructions executable by a processor to capture a biometric signal from a biometric sensor at a headset that includes a stereoscopic display, capture a facial motion signal from a facial motion sensor associated with the headset, determine facial movement of a wearer of the headset based on the facial motion signal, apply a weight to the biometric signal based on the facial movement to obtain a weighted biometric signal, and use the weighted biometric signal to determine an emotional state of the wearer.

Abstract: An example method includes in response to disseminated audio/visual content, monitoring reactions of a plurality of users to the audio/visual content using data received from audio/visual user devices. The method further includes categorizing the reactions as corresponding to one of a plurality of reaction contexts to tag the audio/visual content with the corresponding reaction context.

Abstract: An apparatus comprises, a user interface surface, sensor circuitry, and logic circuitry. The sensor circuitry to detect a palm-based touch event caused by a user's hand relative to the user interface surface to indicate a degree of coarseness for a graphics change, and detect a digit-based touch event caused by a digit of the user's hand relative to the user interface surface. The logic circuitry to, in response to the touch events indicating the palm is in a fixed position and a position of the digit, provide data associated with the graphics change.

Abstract: In some examples, an apparatus can include a head strap having an inner surface, an inflatable bladder located around the inner surface of the head strap, and a sensor located on the inflatable bladder, where inflation of the inflatable bladder causes the sensor to be in contact with an outer surface of a user of the head strap.

Abstract: A device monitoring system comprising a computation engine to obtain, for each of a plurality of devices, an actual failure condition indicating actual device failure and a probable failure condition predicted by a health monitoring device. The health monitoring device to monitor health of the plurality of devices, the probable failure condition indicating when the device is predicted to stop functioning. The computation engine is to compute a failure prediction gap for each of the plurality of devices. The failure prediction gap indicating a difference between the probable failure condition and the actual failure condition. A performance evaluation engine to compute a saving factor based at least on cost parameters and an average of the failure prediction gap computed for the plurality of devices and initiate discontinuance of usage of the health monitoring device based on a comparison of the saving factor with a threshold.

Abstract: A method is described in which biometric input is associated with at least one selectable option on a user controller prior to receipt of a user selection for the at least one selectable option; a past input by a user of a previous selectable option on the user controller is identified; and the at least one selectable option is preemptively executed according to the biometric input and the past input of the previous selectable option, prior to receipt of the user selection for the at least one selectable option.

Abstract: In example implementations, a virtual reality (VR) system is provided. The VR system includes a head mounted display (HMD), a hand wearable interface, a wireless communication interface, and a processor. The HMD is to display a computer generated artificial world. The wireless communication interface is to establish a wireless communication path. The processor is communicatively coupled to the HMD, the hand wearable interface, and the wireless communication interface. The processor is to receive an indication that a touch screen device is located from a locator device in the HMD or the hand wearable device, to establish a wireless connection to the touch screen device via the wireless communication interface, and to receive an input via the touch screen device.

Abstract: In example implementations, a head mounted display (HMD) is provided. The HMD includes a first display, a sensor, an outward facing camera, a processor, and a second display. The first display is to display an image towards a user wearing the HMD. The sensor captures a gaze of the user wearing the HMD. The outward facing camera captures images of a portion of an environment within a view of the user. The processor is communicatively coupled to the sensor and the outward facing camera to generate an animation of the gaze of the user and an augmented reality image on the first display based on the images captured by the outward facing camera. The second display is communicatively coupled to the processor and the first display. The second display displays the animation of the gaze of the user away from the user.

Abstract: A system includes a video capture device to broadcast an image of a streaming participant. A motion platform moves the video capture device in response to a control command. A controller receives location data associated with the participant. The controller positions the video capture device such that the participant's location within the image is adjusted by the control command. The control command is adjusted according to participant movement detected by changes in the location data.

Abstract: In example implementations, an augmented reality (AR) labeler is provided. The AR labeler includes a camera, a processor, a graphical user interface (GUI), and a display. The camera is to capture an image of an object. The processor is communicatively coupled to the camera to receive the image and determine object information. The GUI is communicatively coupled to the processor to receive print parameters. The display is communicatively coupled to the processor to display an AR image of the object with the print parameters, wherein the print parameters are modified in the AR image based on the object information.

Abstract: An example communication device includes a camera to detect media. A processor is to link the detected media with a stored version of the detected media in a database. The processor is to instruct a printing device associated with a remote device to output a hardcopy of the stored version of the detected media.

Abstract: In an example method, a target object is detected via a camera in a mobile device based on an embedded identifier on the target object. Sensor data of the mobile device is tracked to estimate a relative location or a relative orientation of the mobile device in relation to the target object. A relative gesture is detected via the mobile device based on the relative location or the relative orientation of the mobile device. One or more actions are performed in response to detecting the relative gesture.

Abstract: In one example, a computing device for image markups can include a processing resource and a non-transitory memory resource storing instructions executable by the processing resource to: convert an image from a first format to a second format, display the image in the second format to receive a markup, and convert the markup from the image in the second format to the image in the first format based on location information of the image in the first format.

Abstract: An example system includes a camera to capture an image of a physical tag, a virtual environment display portion to generate a virtualized environment, a virtual display monitor forming portion to create a virtual display monitor in the virtualized environment, and a headset including a head-mounted display to display the virtualized environment, the virtualized environment including the virtual display monitor. A position of the virtual display monitor in the virtualized environment corresponds to a physical location of the physical tag. At least one parameter of the virtual display monitor is associated with the physical tag.

Abstract: In example implementations, an augmented reality (AR) labeler is provided. The AR labeler includes a camera, a processor, a graphical user interface (GUI), and a display. The camera is to capture an image of an object. The processor is communicatively coupled to the camera to receive the image and determine object information. The GUI is communicatively coupled to the processor to receive print parameters. The display is communicatively coupled to the processor to display an AR image of the object with the print parameters, wherein the print parameters are modified in the AR image based on the object information.

Abstract: Examples disclosed herein relate to responsive printing. An example device includes a processor, a memory device, and a printer for physical printing of a content section of an output object following a user setting and an instruction for the output object to be printed. In an example, the device may also include a microphone to detect an audio input and a camera to detect an image input. Further, in the example, the audio input detected by the microphone and the image input detected by the camera are both used by the processor executing instructions from the memory device in providing a content section of the output object, providing the user setting, and providing instructions to the printer for the content section of the output object to be printed.

Abstract: A somatosensory feedback system may include at least one somatosensory feedback device to, when actuated, invoke a sensation in a user. The somatosensory feedback system may instruct the at least one somatosensory feedback device to actuate to indicate a passage of time.

Abstract: A non-transitory media having machine-readable instructions stored thereon is provided. The instructions include a context analyzer to determine context data based on information shared between participants as part of a communications session. An emotion detector detects an emotional state of a given participant of the communications session and generates a media request based on the detected emotional state and the context data, wherein a representation of personal media content is provided to at least one of the participants based on the media request.