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The talk gives an overview about our work of quantifying knowledge acquisition tasks in real-life environments, focusing on reading. We combine several pervasive sensing approaches (computer vision, motion-based activity recognition etc.) to tackle the problem of recognizing and classifying knowledge acquisition tasks with a special focus on reading. We discuss which sensing modalities can be used for digital and offline reading recognition, as well as how to combine them dynamically.