Design of cerebral palsy rehabilitation training system based on speech recognition technology to control robotic hand movements

Abstract

© 2019, Executive Office of the Journal. All right reserved. This article is mainly aimed at children with involuntary movement cerebral palsy through the pattern of human-computer interaction combined with bionic robot to achieve the purpose of cerebral palsy rehabilitation training. In the overall design, the single-chip Arduino Mega 2560 is used as the main controller, the display 1602 is used as the data display, the voice module is the LD3320 voice chip, and the LabVIEW is used as the upper computer to display the gesture motion pictures that the patient needs to recognize. When the operation starts, the child with cerebral palsy randomly switches the displayed picture by watching the upper computer interface, correspondingly speaking the content of the picture. The voice chip is used for voice recognition, the identified data is displayed on the display screen, and the serial port transmission method is used to transimit the corresponding data to the host computer, and the system will judge whether it is correct, and record the time and correct rate of the reaction of the child with cerebral palsy. After receiving the correct data after speech recognition, the robot hand will make an action gesture consistent with the picture displayed by the host computer, and achieve the purpose of training the cerebral palsy patient's reaction ability, speaking ability and learning ability of various gestures, and better help cerebral palsy patients to carry out rehabilitation training.