Appearance-based gaze estimation enhanced with synthetic images using deep neural networks

arXiv:2311.14175v2 Announce Type: replace
Abstract: Human eye gaze estimation is an important cognitive ingredient for successful human-robot interaction, enabling the robot to read and predict human behavior. We approach this problem using artificial neural networks and build a modular system estimating gaze from separately cropped eyes, taking advantage of existing well-functioning components for face detection (RetinaFace) and head pose estimation (6DRepNet). Our proposed method does not require any special hardware or infrared filters but uses a standard notebook-builtin RGB camera, …

abstract artificial artificial neural networks arxiv behavior build cognitive cs.ai cs.cv enabling human human eye images modular networks neural networks robot synthetic type