Eye Contact

Eye contact, a crucial aspect of nonverbal communication, is becoming a significant focus of computer vision research, aiming to develop robust algorithms for its automatic detection in diverse real-world scenarios. Current efforts concentrate on improving the accuracy and generalizability of eye contact detection models, often employing deep learning architectures like Swin Transformers and leveraging data augmentation techniques to address challenges posed by variations in lighting, distance, and social context. These advancements are driving progress in human-computer interaction, social robotics, and autonomous vehicle navigation, where accurate eye contact detection is essential for safe and efficient interaction with humans.