Abstract: Examples of noise suppression controls are described herein. In some examples, an electronic device includes a processor to classify, using a first machine learning model, an environment based on video of the environment to produce a classification. In some examples, the processor is to detect, using a second machine learning model, a situation in the environment based on the video to produce a detection. In some examples, the processor is to control noise suppression on audio captured from the environment based on the classification and the detection.

Abstract: In one example in accordance with the present disclosure, a content tracking system is described. A network interface of the system couples the content tracking system to multiple computing devices. A content interceptor intercepts content shared during a collaborative meeting. A content analyzer analyzes shared content to determine a topic of the shared content and a content comparer identifies similarities between shared content of different collaborative meetings. An interface of the content tracking system provides a recommendation to at least one user participating in at least one of the different collaborative meetings based on an output of the content comparer.

Abstract: An example virtual reality (VR) system includes a VR headset, a plurality of monitoring stations, and an image processing device. Each of the monitoring stations includes an image sensor to capture images of the VR headset and an environment in which the VR headset is used. The image processing device is to process the images captured by the monitoring stations to detect an object in the environment, and to transmit, to the VR headset, information that includes notification of the object detected.

Abstract: Examples of electronic devices are described herein. In some examples, an electronic device includes a camera. In some examples, the electronic device includes a display device. In some examples, the electronic device includes a processor to detect a scene change in a first set of images captured by the camera. The first set of images has a first resolution. The processor is also to detect surveillance of the display device in response to detecting the scene change. The surveillance detection is based on a second set of images captured by the camera. The second set of images has a second resolution that is higher than the first resolution.

Abstract: An example virtual reality (VR) system includes a VR headset, a plurality of monitoring stations, and an image processing device. Each of the monitoring stations includes an image sensor to capture images of the VR headset and an environment in which the VR headset is used. The image processing device is to process the images captured by the monitoring stations to detect an object in the environment, and to transmit, to the VR headset, information that includes notification of the object detected.

Abstract: An example of an apparatus is provided. The apparatus includes a display portion and a camera. In addition, the apparatus includes a thin film transistor substrate extending over the display portion and the camera. Furthermore, the apparatus includes an image generation layer disposed under the thin film transistor substrate within the display portion. Also, the apparatus includes a polymer dispersed liquid crystal disposed between the thin film transistor substrate and the camera. The polymer dispersed liquid crystal is to be switched between an opaque state and a clear state. The opaque state is to block the camera from receiving imaging light. The clear state allows light to pass through the polymer dispersed liquid crystal.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a microphone, a radar, a memory, and a processor in communication with the microphone, the radar, and the memory. The microphone is to receive audio signals. The radar is to collect data on users in a location. The memory is to store known body positions associated with having a side-conversation. The processor is to determine that a user is having a side-conversation based on the data collected by the radar compared to the known body positions associated with having a side-conversation and filter noise associated with the side-conversation received by the microphone from a direction associated with the user.

Abstract: An example electronic device includes a display device to display content, a transceiver to exchange ranging messages with a location device to enable the location device to locate the electronic device relative to the location device, and a processor. In response to the electronic device being located in a first zone of an external electronic device, the processor is to receive identification information of the external electronic device, and in response to receiving the identification information, the processor is to share the content with the external electronic device.

Abstract: Methods and systems for rules-based data access are described. In some embodiments, a request for access to customer data by a requesting entity is received; the data is categorized; the person's preferences with respect to allowing access to data are compiled; a requesting entity is determined; and the providing entity that collected each requested data item is determined. Data shareability rules are evaluated based on the policies that regulate the access of the customer data and the requesting entity, and the customer data is provided to the requesting entity according to the evaluation.

Abstract: A plush toy includes a rigid body and a plurality of expandable, articulable and positionable tubes each extending from a proximal tube end to a distal tube end. Each proximal tube end is attached to the rigid body. At least two rigid hollow bases are each filled with weighting material. Each rigid base is attached a respective distal tube end of one of the plurality of tubes. A fabric covering surrounds the entirety of the rigid body, the plurality of tubes and the at least two rigid hollow bases. A compressible packing material is disposed inside of the fabric covering and outside of the rigid body, the plurality of tubes and/or the at least two rigid hollow bases. The fabric covering resembles an animal. At least one of the plurality of tubes represents an arm, a leg, a neck, a tail or a horn of the animal.

Abstract: Example implementations relate to calibration data transmissions. For example, a computing device includes a storage device to store calibration data of an electronic device coupled to the computing device. The computing device also includes a network interface to establish a network connection with a second computing device. The computing device further includes a processor to automatically transmit, via the network connection, the calibration data to the second computing device based on a location of the second computing device relative to the computing device and based on an association with second computing device via a communication session.

Abstract: An example system may include a processor and a non-transitory machine-readable storage medium storing instructions executable by the processor to generate, from data collected by a sensor, a model of an area within which a mmWave sensor is to be N utilized for presence detection; shape, based on the model, a detection field of view of the mmWave sensor to be contained within the N area; and perform the presence detection within the area utilizing the shaped detection field of view of the mmWave sensor.

Abstract: Example implementations relate to cursor adjustments. In some examples, a computing device may include a cursor positioning device. The computing device may include a processor to determine a first input associated with a first cursor path received from the cursor positioning device. The computing device may include a processor to determine a modified output of the first cursor path that is different from the first input. The computing device may include a processor to determine a second cursor path based on the modified output. The computing device may include a processor to determine an adjustment based on a difference between the first cursor path and the second cursor path. The computing device may include a processor to apply the adjustment to a third cursor path.

Abstract: In example implementations, methods for selecting a network connection for paired endpoint devices and an apparatus for performing the same is provided. The method includes establishing a connection to a mobile endpoint device. A first quality score associated with a wireless connection of the mobile endpoint device is calculated based on a parameter associated with the wireless connection between the mobile endpoint device and a wireless network. A network selection is made based on a comparison of the first quality score and a second quality score. The second quality score is associated with a connection between the computer and a communication network.

Abstract: An example computing device includes a time of flight (ToF) sensor to generate frames of sensor data. The computing device includes a processor to: identify an object appearing in the frames; track a centroid of the object frame-by-frame; and determine whether a user is present within operating range of the computing device based on the tracking.

Abstract: Examples disclosed herein provide the ability for a computing device to adjust settings on a computing device. In one example method, the computing device captures, via a first sensor of a computing device, images of an environment that the computing device is currently in, and detects objects in the environment as captured by the images. As an example, the computing device determines a location of the environment based on contextual data gathered from the detected objects and adjusts a setting on the computing device based on the determined location.

Abstract: Examples disclosed herein provide the ability to determine the availability of a conference room. In one example, a computing device may determine whether there is a user present in a conference room, determine scheduling of the conference room, and illustrate, on a display outside the conference room, availability of the conference room.

Abstract: In example implementations, methods for selecting a network connection for paired endpoint devices and an apparatus for performing the same is provided. The method includes establishing a connection to a mobile endpoint device. A first quality score associated with a wireless connection of the mobile endpoint device is calculated based on a parameter associated with the wireless connection between the mobile endpoint device and a wireless network. A network selection is made based on a comparison of the first quality score and a second quality score. The second quality score is associated with a connection between the computer and a communication network.

Abstract: An example non-transitory computer readable medium store a set of instructions when executed cause a controller of a computing device to determine a position of a lid portion of the computing device based on a first signal from a first sensor and determine movement of the computing device based on a second signal from a second sensor. The instructions when executed further cause the controller to transmit a command to a processor of the computing device in response to the determined position of the lid portion and the determined movement, the command to direct the processor to maintain a current operating state.

Abstract: Example implementations relate to display adjustments. For example, a non-transitory computer readable medium storing instructions executable by a processing resource to sense a contour of an object using a sensor of a display. The instructions can cause the processing resource to determine a contour of a perimeter of the display that fits a portion of the shape of the object. The instructions can cause the processing resource to adjust the perimeter of the display to the determined contour of the perimeter via an actuator of the display.