Our experience of the world is multimodal-we see objects, hear sounds, feel texture, smell
odors, and taste flavors. Modality refers to the way in which something happens or is …

Nowadays emotion recognition from speech (SER) is a demanding research area for
researchers because of its wide real-life applications. There are many challenges for SER …

This paper presents a novel and effective audio based method on depression classification.
It focuses on two important issues,\emph {ie} data representation and sample imbalance …

Facial Expression Recognition (FER), as the primary processing method for non-verbal
intentions, is an important and promising field of computer vision and artificial intelligence …

Continuous dimensional models of human affect, such as those based on valence and
arousal, have been shown to be more accurate in describing a broad range of spontaneous …

This chapter presents a comparative study of speech emotion recognition (SER) systems.
Theoretical definition, categorization of affective state and the modalities of emotion …

Stress has been identified as one of the contributing factors to vehicle crashes which create
a significant cost in terms of loss of life and productivity for governments and societies …

Child maltreatment has many well-documented lasting effects on children. Among its
consequences, it affects children's recognition of emotions. More and more studies are …

Automatic emotion recognition is a challenging task which can make great impact on
improving natural human computer interactions. In this paper, we present our effort for the …

Recent developments in image classification and natural language processing, coupled with
the rapid growth in social media usage, have enabled fundamental advances in detecting …