In recent years, the growth of affordable wearable cameras, exemplified by devices like GoPro, has yielded a growing interest in first-person perspective, denoted as egocentric vision. The proximity of the camera to actions allows for a deep analysis of human behavior and human-environment interaction. The benefit of egocentric vision finds exploitation in numerous applications, including augmented and mixed reality, human-robot interaction and behavior understanding. Tasks related to video analysis demand a focus on the integration of diverse modalities due to their inherently multimodal nature. The inclusion of additional modalities provides complementary information, addressing limitations and enhancing the robustness and accuracy of egocentric action recognition systems.