Hewlett-packard Development Company, L.P.

Nick Thamma

Yi-Chen Chen

Nam H Nguyen

Kun-Cheng Tsai

King Sui Kei

Chih-Hua Chen

Alan Tam

Conrad Walter Henry, Jr

Sze Hau Loh

Pei Hsuan Li

In one example, a notification may be generated to prompt a user to clean a personal computing device. The notification may be based upon usage data of the personal computing device. Multiple types of usage data may be determined and combined to create a composite usage value. The composite usage value may be compared to a threshold usage value. A notification may be generated if the composite usage value exceeds the threshold usage value.

Cleaning notifications

In one example in accordance with the disclosure, a computing device is described. An example computing device includes a gaze tracking device. An example gaze tracking device identifies, from a captured image, a gaze region for a user viewing a display device coupled to the example computing device. The gaze region indicates a location on the display device where the user is looking. The example computing device includes a controller. An example controller determines a first window on the display device that is aligned with the gaze region and based on a determination that the first window is aligned with the gaze region, adjusts a video setting of a second window that is outside the gaze region.

Gaze-based window adjustments

In some examples, an electronic device includes a printed circuit board. In some examples, the printed circuit board includes a conductive base layer. In some examples, the conductive base layer is an electrode to produce a signal indicative of a change in an omnidirectional electrostatic field corresponding to a moving object. In some examples, the printed circuit board includes a via coupled to the conductive base layer. In some examples, the via is disposed through an intermediate layer of the printed circuit board. In some examples, the printed circuit board includes an integrated circuit coupled to the via. In some examples, the integrated circuit is to detect, using a machine learning model, a direction of the moving object in the omnidirectional electrostatic field based on a feature of the signal.

Electrostatic detections

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Houston, TX, United States of America

Nick Thamma