Public Transport Driver Identification System Using Histogram of Acceleration Data

Algorithm 4

Impostor detection using the KNN.

Input:testing histogram testData

training data trainData

k constant in KNN k

threshold for driver d treshold_d

Output:identification result (driver label or impostor) result

1:kList_d = from testData find k nearest neighbor in trainData

2:nearest = minimum distance in kList_d

3:predictedDriver = driver label that is the majority in kList_d

4:if  nearest is more than   do:

5:result = “impostor”

6:else do:

7:result = predictedDriver