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. 2022 Apr 11;82(4):4787–4820. doi: 10.1007/s11042-022-12315-2

Table 4.

Smart phone usage features

Parent feature Description Statistical features No. of
extracted features
Accelerometer probe To measure acceleration (the rate of change of velocity). We approximated accelerometer magnitudes using (1). Mean of the accelerometer magnitude was computed 1
Gyroscope probe To measure orientation of the phone. Axis-wise variance of entries were calculated 3
Application Usage probe App categories were extracted using their package references from play store Average amount of hours per day spent on each application category by the user 36
Location probe Raw readings were used to calculate location variance (2), speed mean (3) total distance (4). location variance (2) and its mean, Variance and mean of the instantaneous speed (3) and total distance (4) were calculated. 6
Bluetooth probe The entries are grouped day wise and the number of unique encounters were calculated using the Address entry. Day-wise mean, Variance and Standard Deviation of entries 3
Light (brightness) probe To measure the illumination of the device(user). Brightness probe readings are used here Mean, Variance and Standard Deviation of readings 3
Screen unlock probe The entries were divided on the basis of binary readings provided by the probe The percentage of entries where the screen_on entry is True with respect to the total number of entries was calculated 1