Dipartimento di Ingegneria informatica, automatica e gestionale

A wearable device for capturing 3D gaze information in indoor and outdoor environments is proposed. The hardware and software architecture of the device provides an estimate in quasi-real-time of 2.5D points of regard (POR) and then lift their estimations to 3D, by projecting them into the 3D reconstructed scene. The estimation procedure does not need any external device, and can be used both indoor and outdoor and with the subject wearing it moving, though some smooth constraint in the motion are required. To ensure a great flexibility with respect to depth a novel calibration method is proposed, which provides eye-scene calibration that explicitly takes into account depth information, in so ensuring a quite accurate estimation of the PORs. The experimental evaluation demonstrates that both 2.5D and 3D POR are accurately estimated.