Sensors, Vol. 20, Pages 5510: Eye and Voice-Controlled Human Machine Interface System for Wheelchairs Using Image Gradient Approach

Sensors, Vol. 20, Pages 5510: Eye and Voice-Controlled Human Machine Interface System for Wheelchairs Using Image Gradient Approach Sensors doi: 10.3390/s20195510 Authors: Saba Anwer Asim Waris Hajrah Sultan Shahid Ikramullah Butt Muhammad Hamza Zafar Moaz Sarwar Imran Khan Niazi Muhammad Shafique Amit N. Pujari Rehabilitative mobility aids are being used extensively for physically impaired people. Efforts are being made to develop human machine interfaces (HMIs), manipulating the biosignals to better control the electromechanical mobility aids, especially the wheelchairs. Creating precise control commands such as move forward, left, right, backward and stop, via biosignals, in an appropriate HMI is the actual challenge, as the people with a high level of disability (quadriplegia and paralysis, etc.) are unable to drive conventional wheelchairs. Therefore, a novel system driven by optical signals addressing the needs of such a physically impaired population is introduced in this paper. The present system is divided into two parts: the first part comprises of detection of eyeball movements together with the processing of the optical signal, and the second part encompasses the mechanical assembly module, i.e., control of the wheelchair through motor driving circuitry. A web camera is used to capture real-time images. The processor used is Raspberry-Pi with Linux operating system. In order to make the system more congenial and reliable, the voice-controll...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research