Mobile devices, e.g., smartphones, tablets, etc., often include a light sensor that senses ambient light. Data from this sensor is used to set the screen brightness. During ordinary usage of such devices, the light sensor sometimes gets covered, e.g., by the user's fingers, which leads to a quick decrease in screen brightness. This makes for a poor user experience. This disclosure describes machine learning techniques that determine whether a detected change in ambient light is due to a true decrease in ambient light conditions or due to an occlusion of the light sensor. Screen brightness adjustments can be made on such determination.
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Feuz, Sandro and Deselaers, Thomas, "Screen brightness adjustment using machine learning", Technical Disclosure Commons, (February 01, 2019)