Human Activity Recognition in AAL Environments Using Random Projections

Pseudocode 2

Pseudocode of binary classification.

ALGORITHM: BinaryClassify

INPUT:   sample [1xm matrix], bestProjection [mx2 matrix],

       density estimates fx1,fy1 (class +1), and

       fx2,fy2 (class -1) [1xn vectors]

OUTPUT:classLabel

BEGIN

 pSample = sample * bestProjection

 IF (fx1(pSample) * fy1(pSample) > fx2(pSample) * fy2(pSample))

  LET classLabel = +1

 ELSE

  LET classLabel = -1

 END

 RETURN classLabel

END