1 research outputs found
Multimodal decomposition for enhanced subtle emotion recognition
True human emotions may be revealed during brief
moments of minute facial muscle movements. These so-called
subtle emotions are low in intensity, sparse and short duration
in nature. Despite such tiny presence, subtle emotions have shown
to be useful for real-life applications including lie detection and
clinical diagnosis. In this paper, we present a processing technique
based on multimodal decomposition and emotion magnification
that is viable to decompose and subsequently emphasize highly
discriminative subtle emotions information. Through this method,
promising results of 25-30% improvement in recognition performance are achieved. By further magnifying the decomposed emotion components, the subtle emotions intensity can be increased
and further boost recognition performance by 3-4%