Wheelchair Control System based on Gyroscope of Wearable Tool for the Disabled

Abstract

A wheelchair control system based on Gyroscope of wearable tool can serve the disabled, especially in helping them move freely. The recent evolution of new technology means that unassisted, free movement has become possible. For this purpose, human–machine interface hands-free command of an electric-powered wheelchair can be achieved. In this paper, an electroencephalogram instrument, namely the EMOTIV Insight, was implemented in a human–computer interface to acquire the user’s head motion signals. The system can be operated based on the user’s head motions to carry out motion orders and control the motor of the wheelchair. The proposed system consists of an EMOTIV Insight brain-based gyroscope to sense head tilt, a DC motor driver to control wheelchair speed and directions, an eclectic-powered wheelchair, microcontroller, and laptop. We implemented the system in practice and tested it on smooth and rough surfaces in indoor/outdoor settings. The experimental results were greatly encouraging: disabled users were able to drive the wheelchair without any limitations. We obtained a significant average response time of 2 seconds. In addition, the system had accuracy, sensitivity, and specificity of 99%, 99.16%, and 98.83%, respectively.

A Real-Time Sensor Based Hand Gesture Controlled Robotic Wheelchair for Assisting People with Disabilities

“…It also used ultrasonic sensors for detecting obstacles and solar panels for green energy. Moreover, Gyroscope [23] controlled wheelchair have introduced for disabled people that is operated by the head motion signals and proposed system used brain-based gyroscope which consists of an EMOTIV. Furthermore, For disable and elderly people a RoboChair has been built by the Gray et al [24].…”

A Novel Approach to Wheelchair Design and Operation Using Multi-Function Controller

“…Barriuso et al (2018) stated that EEG signals can be used to control the movement of an electric wheelchair inside a closed environment with minimal modification to its structure which is also safe and minimally low cost. Jameel et al (2020) proposed a system to control wheelchair by using human head motion detected by an instrument called EMOTIV Insight. Abiyev et al (2016;Al-Aubidy, 2019) presented Wavelet Transform (WT) method to be used for the extraction of the mental tasks.…”