Sensor Type, Axis, and Position-Based Fusion and Feature Selection for Multimodal Human Daily Activity Recognition in Wearable Body Sensor Networks

Table 15

List of input sources and the corresponding features acquired from them.

Input source	Features
A_lt_x	Jitter, mean, standard deviation, maximum, standard deviation auto covariance, standard deviation auto-correlation, and root-mean square
A_lt_y	Jitter, mean crossing rate, variance, minimum, maximum, standard deviation auto-correlation, kurtosis, and root-mean square
A_lt_z	Jitter, mean, standard deviation, minimum, variance, standard deviation auto covariance, skewness, and kurtosis
Ac_lt_mag	Mean and variance
G_lt_x; G_lt_y	Mean, jitter, and standard deviation auto-correlation standard deviation, minimum, variance, mean auto correlation, root-mean square, and skewness
G_lt_z	Mean crossing rate, mean, mean auto covariance, and root-mean square
G_lt_mag	Mean crossing rate, standard deviation, standard deviation auto covariance, and root-mean square
EMG_l	Mean crossing rate, minimum, and kurtosis