University of Genova, Ph.D. (2010), Electronic Engineering, Information Technology, Robotics and Telecommunications.
University of Genova, BA + MS (2007), Biomedical Engineering.
The general approach to visual perception is to use sequential laboratory stimuli to provide precise quantitative characterization of eye movements and perception, but these stimuli are an impoverished version of natural environments. In turns, it is in complex and cluttered natural everyday environments that the visual system manifests its natural behavior, but they are changeable and difficult to define or to measure, preventing to accurately analyze the relation between the stimulus and the triggered behavior.
My research interest is to extend models of sensory processing and oculo-motor behavior from laboratory settings to complex stimuli that more closely resemble real world conditions. This can be solved either using fully controllable Virtual Reality three-dimensional environments, or exploiting custom devices to measure human behavior in real environments. To this aim, I developed cross-disciplinary approaches that encompass Vision Science, Biometrics, Virtual Reality and Neural Modeling.
A. Gibaldi, A. Canessa, S.P. Sabatini. The Active Side of Stereopsis: Fixation Strategy and Adaptation to Natural Environments. Scientific Report, 2017.
A.Canessa*, A. Gibaldi*, M. Chessa, M. Fato, F. Solari, S.P. Sabatini. A dataset of stereoscopic images and ground-truth disparity mimicking human fixations in peripersonal space. Scientific Data, 2017. *First two authors provided equal contribution.
A. Gibaldi, M. Vanegas, A. Canessa, S.P. Sabatini. A portable bio-inspired architecture for efficient robotic vergence control. International Journal of Computer Vision, 121(2), 281-302, 2016.
A. Gibaldi, G. Maiello, M. Vanegas, P.J. Bex. Evaluation of the Tobii EyeX Eye Tracking Controller and Matlab Toolkit for Research. Behavior Research Methods, 2016.