E Glove Evaluation & Training System Based on ARAT and Fusion of Visual and Tactile Information

Aiming to solve the problem of complex structure, low flexibility and practicability for a wearable sensing data glove device of hand function evaluation system, this paper presented a wearable pressure-sensing data glove device based on visual and tactile fusion, which can stimulate the active motor function of patients. Firstly, it introduced the upper limb action research test theory, the basic test flow and the grading rules that used to evaluate the hand function. Secondly, it described the processing flow of visual and tactile information, and the hand function evaluation test method of visual and tactile fusion, which was used to achieve digital score and evaluation of the patient training process. Finally, ten patients with stroke were enrolled into the EGET system for hand function test and evaluation. The results were compared with the doctors'. The maximum relative error is 8%, and the average relative error is 4%, which means that EGET system can achieve the expected goal.