TRAINING AND ASSESSMENT OF HAND-EYE COORDINATION WITH ELECTROENCEPHALOGRAPHY

Abstract

Hand-eye coordination (HEC) is a complex system of perceptual processing of visual information, proprioceptive feedback of our hands and arms and the cognitive controller that manages these sensory inputs and executive motion. The visual, motor and neural aspects of HEC were investigated through neural and motor performance analysis of subjects performing cue-driven HEC tasks such as pointing and tracing. Experiment findings could lead to more effective assessment and training of HEC skills. In order to examine and train a person?s HEC capability, simulation games were developed. The influence of visual cues on HEC performance was investigated and quantified. A robotic haptic guidance platform was used to compare the training efficacy of automated haptic guidance and investigate the effects of the haptic guidance on the neural activity of the subjects. Specific investigations include identifying pertinent Electroencephalography (EEG) markers correlating to motor skill mastery, analysing and correlating motor performance with neural activity.