<p dir="ltr">918,150 samples of accelerometer data recorded from a Pebble Smart Watch. The data is in CSV format.</p><p dir="ltr">The first field of each line is a time-stamp in UNIX epoch format with millisecond resolution. There then follows ten readings, each consisting of four fields: the X, Y and Z axis values, and the vibration sensor value (0 for off, 1 for on). The ten readings are followed by 11 padding fields consisting only of zeroes.</p><p dir="ltr">The unit for the accelerometer values is thousandths of the gravitational constant G, with minimum/maximum values of -4000/4000 (range -4G to 4G).</p><p dir="ltr">The data was captured by Peter Michalák for his own PhD work and was graciously shared with me for mine.</p><p dir="ltr">This work is supported by the Engineering and Physical Sciences Research Council, Centre for Doctoral Training in Cloud Computing for Big Data (grant number EP/L015358/1) and the Digital Catapult Teaching Grant Award (KH161118).</p><p dir="ltr"><br></p>
Funding
EPSRC Centre for Doctoral Training in Cloud Computing for Big Data
Engineering and Physical Sciences Research Council