Intelligent Control System of Wheelchair Based on Brain Wave and Voice

Abstract

In order to improve the quality of life of the elderly and the disabled, the system fully considers the lifestyles of the elderly and the disabled and realizes the intelligent control of the wheelchair by using the Internet of Things and the intelligent control technology. By designing wearable equipment, the system can obtain the original EEG signals from the brain, and after filtering the noise and power signals, the brain waves are converted into output signals to realize the control of the wheelchair. Wearable devices are called brain wave collection caps. In addition, the system also has infrared obstacle-avoidance function, speech recognition and other functions, and ultimately to help the elderly and disabled people to achieve the “body with the brain moving” goal. Long-term testing of the system shows that the equipment is easy to operate, suitable for the elderly and disabled people with limited mobility, and it is of great social significance to improve the quality of life and happiness index.

Keywords: Brain wave, Face recognition, Intelligent wheelchair, IoT, Speech recognition.

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