Abstract: In some examples, an electronic device includes an image sensor and a processor. The processor is to receive an image from the image sensor, identify multiple elements depicted in the image, and determine, based on the multiple elements identified, an environment. The processor is to retrieve a configuration profile associated with the environment and configure, according to a setting of the configuration profile, a peripheral device, an application, or a combination thereof.

Abstract: In some examples, a non-transitory machine-readable medium stores machine-readable instructions which, when executed by a processor of an electronic device, cause the processor to detect, by multiple image sensors, a user presence, to determine, responsive to the detection of the user presence, eye gaze angles of a user in relation to optical axes of the multiple image sensors, to identify a smallest eye gaze angle among the eye gaze angles, and to cause an image sensor of the multiple image sensors that has the smallest eye gaze angle to be an active image sensor of the electronic device.

Abstract: In some examples, an electronic device includes an image sensor and a processor to determine a facial landmark count of a frame captured by the image sensor and adjust, responsive to the facial landmark count, a visibility of the frame.

Abstract: An example computing device can include a processing resource and a memory resource storing instructions thereon, the instructions executable by the processing resource to: log commands directed to the computing device, identify missed utterances from the logged commands, extract features from the missed utterances, wherein the features include an entity and a key phrase associated with the missed utterances, generate a list of the missed utterances based on a priority associated with the features associated with each of the missed utterances, and provide a portion of the missed utterances to a service for resolution, wherein the portion of the missed utterances are above a threshold priority within the list of the missed utterances.

Abstract: In some examples, the disclosure describes a device, comprising: a processor resource, and a non-transitory memory resource storing machine-readable instructions stored thereon that, when executed, cause the processor resource to: determine an emotion based on a facial expression of a user captured within an image, apply a plurality of alterations to the image to exaggerate the facial expression of the user when the emotion has continued for a threshold quantity of time, and remove the plurality of alterations to the image when the emotion of the user has changed.

Abstract: A device includes a display panel and a processor. The processor is to receive information corresponding to an image displayed on the display panel and determine whether a relevant portion of the image is centered with respect to an area of interest of the display panel. The processor is further to responsive to a determination that the relevant portion of the image is not centered with respect to the area of interest of the display panel, perform an operation to cause the relevant portion of the image to be adjusted such that the relevant portion of the image is centered with respect to the area of interest of the display panel.

Abstract: According to examples, an apparatus may include a processor and a memory on which are stored machine-readable instructions that, when executed by the processor, may cause the processor to receive a first feedback from a first device in response to a first question. The processor may determine a first topic and a first sentiment based on the first feedback. The first feedback may be correlated to the first device. The processor may identify a second device having a characteristic that is the same as a characteristic of the first device and may generate a second question based on the determined first topic. The processor may validate the determined first sentiment based on a second feedback from the second device responsive to the second question. The processor may output information regarding the validation of the determined first sentiment.

Abstract: In some examples, a non-transitory, computer-readable medium stores executable code, which, when executed by a controller of an electronic device, causes the controller to: obtain an image of a human hand from a video stream captured by a camera; and control provision of the video stream, an audio stream, or a combination thereof to a network based on a distance of the human hand from the camera as determined using the image.

Abstract: Examples are described herein for determining aggregate psychological states of multiple individuals. In various examples, sensor data indicative of affects of multiple individuals may be analyzed. Based on the analyzing, the multiple individuals may be partitioned into multiple distinct clusters of individuals. An aggregate psychological state of the individuals of a given cluster of the multiple distinct clusters of individuals may be determined. Data indicative of the aggregate psychological state may be transmitted to cause a computing device to render output that conveys the aggregate psychological state of the individuals of the cluster.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a processor and a non-transitory computer readable medium storing instructions. The instructions are executed by the processor to monitor user interaction with the apparatus, detect an abnormal user interaction with the apparatus, and activate a digital assistant in response to the abnormal user interaction that is detected. The digital assistant can collect user information related to the abnormal user interaction.

Abstract: Methods, systems, apparatus, and computer-readable media (transitory or non-transitory) are described herein for inferring psychological states. In various examples, data indicative of a measured affect of an individual may be processed using a regression model to determine a coordinate in a continuous space. The continuous space may be indexed based on a plurality of discrete psychological labels. In a first context, the coordinate in the continuous space may be mapped to one of a first set of the discrete psychological labels associated with the first context. In a second context, the coordinate in the continuous space may be mapped to one of a second set of the discrete psychological labels associated with the second context.

Abstract: In some examples, a non-transitory machine-readable medium stores machine-readable instructions. When executed by a controller of an electronic device, the machine-readable instructions cause the controller to detect a user presence, determine first and second measurements, where the first and the second measurements indicate first and second distances to the user presence, and, responsive to a determination that the second measurement is less than the first measurement and a determination that the second measurement is within a distance threshold, wake the electronic device from a power saving mode.

Abstract: In an example implementation according to aspects of the present disclosure, a system, method, and storage medium for processing digital image file metadata characteristics. The system includes a processor and memory. The processor executes machine readable instructions to receive a set of digital image files from a first client application. The processor extracts a set of metadata from the set of digital image files. The processor identifies a set of common characteristics within the set of metadata. The processor groups the set of digital image files based on the set of common characteristics. The processor evaluates an association between the set of common characteristics and a second user. Responsive to the evaluation, the processor sends the grouped set of digital image files to a second client application.

Abstract: Executable code causes a processor to segment a first frame to determine a background portion of the first frame, and segment a second frame to determine a background portion of the second frame. The executable code causes the processor to compare the background portion of the first frame to the background portion of the second frame to determine a difference between the first frame and the second frame. The executable code also causes the processor to alter the background portion of the second frame responsive to the difference. The executable code causes the processor to display the altered second frame on a display.

Abstract: Examples are described herein for providing document suggestions to a group of collaborating users. In various examples, based on input provided by a first user, it may be determined that the first user intends to collaborate with a second user remotely. Based on a knowledge graph that defines relationships between users, documents, and applications usable to open the documents, a document or application may be identified that is commonly associated with both the first user and the second user. A prompt to share access with the second user to the commonly associated document or a new document compatible with the commonly associated application may be provided via a computing device of the first user.

Abstract: In an example implementation according to aspects of the present disclosure, a device, method, and storage medium. The device comprises a processor and memory with instructions to receive a digital image and extract administrative and descriptive metadata. The device stores the administrative and descriptive metadata in a knowledge base and determines a digital image quality score. The device creates a recommendation based on the administrative and descriptive metadata and the digital image quality score.

Abstract: In some examples, a computing device can include a processor resource and a non-transitory memory resource storing machine-readable instructions stored thereon that, when executed, cause the processor resource to: instruct an imaging device to capture an input image, determine image properties of the input image, activate a portion of a plurality of light sources based on a physical location of the plurality of light sources and the determined image properties of the input image, and instruct the imaging device to capture an output image when the portion of the plurality of light sources are activated.

Abstract: Examples are described herein for establishing private communication channels. In various examples, camera-acquired eye tracking data if participants in a first video conference call may be monitored. Based on the monitoring, it may be determined that gazes of a subset of the participants collectively satisfy a criterion, wherein the subset includes a plurality of the participants in the first video conference call. In response to the determining that the gazes of the subset of participants collectively satisfy the criterion, a private second video conference call between the plurality of the participants is established.

Abstract: In some examples, an electronic device includes a processor to determine an image frame includes protected information, the image frame having a first visibility, and modify, responsive to the determination, an area of the protected information to have a second visibility.

Abstract: In some examples, the disclosure describes a device, comprising: a processor resource; and a non-transitory memory resource storing machine-readable instructions stored thereon that, when executed, cause the processor resource to: intercept image data captured at a computing device, determine information associated with the computing device, generate a data bar that includes the determined information, and overlay the data bar on the image data.