Hewlett-packard Development Company, L.p.

Rafael Dal Zotto

Qian Lin

Amit A Marathe

Matheus Eichelberger

Malcolm Stuart Rix

Joao Luis Prauchner

Hiren Bhatt

Andre Gobbi Farina

Franco Vieira E Souza

Gabriel Lima Paz

Dun Liu

Gabriel Lando

Gareth Westlake

Sailesh Kumar Tammannagari

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.

Configuration profiles

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.

Establishing private communication channels

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.

Image adjustment

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.

Visibilities of protected information

In an example implementation according to aspects of the present disclosure, a system receives behavioral biometric data associated with a user of a computing device. The system determines whether an identity of the user is authenticated based on a comparison of the received behavior biometric data and historical behavioral biometric data associated with the user of the computing device. In response to determining that the identity of the user is not authenticated based on the comparison of the received behavioral biometric data and the historical behavioral biometric data, the system receives physiological biometric data associated with the user. The system determines whether the identity of the user is authenticated based on a comparison of the received physiological biometric data and historical physiological biometric data associated with the user of the computing device.

User authentication based on biometric data

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.

Missed utterance resolutions

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.

Facial expression alterations

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.

Digital assistant to collect user information

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.

Electronic device wakes

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.

Digital image file metadata characteristics

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.

Image background alterations

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.

Knowledge base image recommendations

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.

Image data bars

In some examples an electronic device includes an image sensor and a processor. The processor is to determine an angle of an eye gaze of a user in relation to an optical axis of the image sensor and adjust, responsive to a determination that the angle exceeds a threshold angle, an active area of a display device.

Active areas of display devices

In some examples, an electronic device comprises an image sensor and a processor. The processor is to detect a feature of a frame of a video received via the image sensor, determine whether the feature indicates an object of interest, and, responsive to a determination that the feature indicates the object of interest, limit a first field of view of the image sensor to the object of interest and overlay the first field of view with a second field of view. The second field of view is unlimited.

Growing community of inventors

Porto Alegre, Brazil

Rafael Dal Zotto