Robotic set-up to quantify hand-eye behavior in motor execution and learning of children with autism spectrum disorder.

Journal: IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Published Date:

Abstract

Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder characterized by a persistence of social and communication impairment, and restricted and repetitive behaviors. However, motor disorders have also been described, but not objectively assessed. Most studies showed inefficient eye-hand coordination and motor learning in children with ASD; in other experiments, mechanisms of acquisition of internal models in self-generated movements appeared to be normal in autism. In this framework, we have developed a robotic protocol, recording gaze and hand data during upper limb tasks, in which a haptic pen-like handle is moved along specific trajectories displayed on the screen. The protocol includes trials of reaching under a perturbing force field and catching moving targets, with or without visual availability of the whole path. We acquired 16 typically-developing scholar-age children and one child with ASD as a case study. Speed-accuracy tradeoff, motor performance, and gaze-hand spatial coordination have been evaluated. Compared to typically developing peers, in the force field sequence, the child with ASD showed an intact but delayed learning, and more variable gazehand patterns. In the catching trials, he showed less efficient movements, but an intact capability of exploiting the available a-priori plan. The proposed protocol represents a powerful tool, easily tunable, for quantitative (longitudinal) assessment, and for subject-tailored training in ASD.

Authors

  • Claudia Casellato
  • Marta Gandolla
    Mechanical Engineering Department, Politecnico di Milano, Via Giuseppe La Masa 1, 20156 Milan, Italy.
  • Alessandro Crippa
    Child Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Via Don Luigi Monza 20, 23842, Bosisio Parini, Lecco, Italy, alessandro.crippa@bp.lnf.it.
  • Alessandra Pedrocchi