  It is already known that both auditory and visual stimulus is able to convey
emotions in human mind to different extent. The strength or intensity of the
emotional arousal vary depending on the type of stimulus chosen. In this study,
we try to investigate the emotional arousal in a cross-modal scenario involving
both auditory and visual stimulus while studying their source characteristics.
A robust fractal analytic technique called Detrended Fluctuation Analysis (DFA)
and its 2D analogue has been used to characterize three (3) standardized audio
and video signals quantifying their scaling exponent corresponding to positive
and negative valence. It was found that there is significant difference in
scaling exponents corresponding to the two different modalities. Detrended
Cross Correlation Analysis (DCCA) has also been applied to decipher degree of
cross-correlation among the individual audio and visual stimulus. This is the
first of its kind study which proposes a novel algorithm with which emotional
arousal can be classified in cross-modal scenario using only the source audio
and visual signals while also attempting a correlation between them.
