Labelled triaxial magnetometer data

Paper: "Behavioural compass: animal behaviour recognition using magnetometers" Authors: Pritish Chakravarty, Maiki Maalberg, Gabriele Cozzi, Arpat Ozgul, Kamiar Aminian ----------------------------------------------------------- A guide to accessing and using the labelled, calibrated, windowed (sliding window of length two seconds with 50% overlap between successive windows) magnetometer data supplied: A .mat file is supplied, which can be opened with MATLAB. There is one variable within named "sessionWiseMagData_fourBehaviours". It is a cell with eleven entries, corresponding to the eleven recording sessions done for this study. Let "rs" denote the recording session number (rs = 1, 2, 3...11). sessionWiseMagData_fourBehaviours{rs} is a cell with four entries. Let "b" denote the behaviour number (b = 1,2,3,4 where 1 corresponds to vigilance, 2 to resting, 3 to foraging, and 4 to running). Then sessionWiseMagData_fourBehaviours{rs}{b} contains all the two-second bouts of calibrated triaxial magnetometer data recorded for behaviour "b" during recording session "rs". Since magnetometer data was resampled to 100 Hz, each entry sessionWiseMagData_fourBehaviours{rs}{b}{i}, which denotes the i-th two-second bout of video-labelled behaviour "b" recorded during recording sessions "rs", is a matrix of size 200x3, where 200 denotes 2s*100 entries/axis/second, and 3 denotes the number of axes of the magnetometer). Note that feature computation was done on each of these 82550 two-second bouts of labelled triaxial magnetometer data for the four behaviours of interest.