Gaze Tracking

Gaze tracking, the technology of measuring eye movements to understand visual attention and intention, is rapidly advancing, driven by the need for more natural and intuitive human-computer interaction and insights into cognitive processes. Current research focuses on improving accuracy and robustness using deep learning models, including novel architectures tailored for efficient processing on resource-constrained devices and handling diverse scenarios like dynamic displays and low-resolution images. This technology has significant implications across various fields, from enhancing user experience in virtual reality and assistive technologies to improving the security of biometric systems and informing research in psychology and neuroscience.