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. Author manuscript; available in PMC: 2015 Jul 15.
Published in final edited form as: J Neurosci Methods. 2013 Oct 1;231:22–30. doi: 10.1016/j.jneumeth.2013.09.015

Table 1.

Features Used for Activity Recognition

Description Total Number of Values
Mean, absolute value of the mean 6
Moments: standard deviation, skew, kurtosis 9
For the instantaneous change: mean, std dev, skew, kurtosis 12
Root mean square 3
Smoothed root mean square (5 pt kernel, 10 pt kernel) 6
Extremes: min, max, abs min, abs max 12
Histogram: includes counts for −3 to 3 z-score bins 21
Fourier components: 8 samples for each axis 24
Overall mean acceleration 1
Cross product means, xy, xz, yz 3
Abs mean of the cross products 3
Normalized mean cross products 3
Abs normalized mean cross products 3