1. Human Activity Recognition Using Smartphones: Human Activity
Recognition database built from the recordings of 30 subjects
performing activities of daily living (ADL) while carrying a
waist-mounted smartphone with embedded inertial sensors. 2.
Character Trajectories: Multiple, labelled samples of pen tip
trajectories recorded whilst writing individual characters. All
samples are from the same writer, for the purposes of primitive
extraction. Only characters with a single pen-down segment were
considered.