Before revision:  Emotion recognition rates of 64.1\% and 76.2\%, for valence and arousal respectively, were achieved by classifying a DWT-Haar approximation of the input signal using kNN.
After revision:  Affect recognition rates of 64.1\% and 76.2\%, for valence and arousal respectively, were achieved by classifying a DWT-Haar approximation of the input signal using kNN.