A Context-Aware Multimodal Transformer for the Affective Monitoring of Human Cognitive Behavior Using Facial and Speech Emotion Recognition
Prolonged tracking of affective states empowers caregivers, educators, and medical staff to identify initial signs of distress. This is particularly vital for vulnerable individuals, such as the elderly and children, who may struggle to verbally express their emotional needs. This paper proposes a compact audio--visual...