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Researchers have used a large-scale accelerometer dataset from the U.K. Biobank to develop models for monitoring physical activity levels with more accuracy and generalizability. The study highlights the need for reliable algorithms to obtain information on human activity from wearable devices and the potential of deep-learning models in this field.
