Scala Machine Learning Projects

Dataset description

The experiments have been carried out with a group of 30 volunteers within an age bracket of 19 - 48 years. Each person accomplished six activities, namely walking, walking upstairs, walking downstairs, sitting, standing, and laying by wearing a Samsung Galaxy S II smartphone on their waist. Using the accelerometer and gyroscope, the author captured 3-axial linear acceleration and 3-axial angular velocity at a constant rate of 50 Hz.

Only two sensors, that is, accelerometer and gyroscope, were used. The sensor signals were pre-processed by applying noise filters and then sampled in fixed-width sliding windows of 2.56 sec and 50% overlap. This gives 128 readings/window. The gravitational and body motion components from ...