Emotional contagion is the mechanism through which individuals synchronize their facial expressions and muscle activations with those of the person they are observing. It can be seen as the preliminary stage of empathy. Investigating how emotional contagion manifests itself and identifying the emotions in which it is most evident represents an effective approach to understanding social dynamics. This study aims to evaluate and recognize emotional contagion by analyzing Euclidean distances between facial landmarks and features extracted from facial electromyographic (EMG) signals using machine learning methods. The research was conducted in collaboration with the Department of Psychology at the University of Turin and focused on three contagious emotions - laughter, mirror pain, and yawning - and a neutral condition.