EEG and eye-EMG Combined Control of Rehabilitation Wheelchair Using an Improved Genetic Algorithm

Abstract

In this paper, we present a combined control system for wheelchairs based on bioelectricity sensors, aimed at enhancing the mobility range of individuals with rehabilitation patients. The approach leverages the capabilities of bioelectricity sensors to read both the action bioelectricity signals of the accessory eye organs (AEO) and mental power level, i.e. an EEG signal and an eye-EMG signal, providing an innovative solution for enhancing the control mechanism of wheelchairs, thereby improving mobility and independence for individuals with movement disorders. The system achieves this by comparing the sample library established ahead, processing the action bioelectricity signals of AEO, and converting them into combined control instructions for the wheelchair. By integrating it with the mental power level and obtaining multiple control instructions, the system's stability is significantly improved. This system enables the wheelchair to perform various movements such as left-turning, right-turning, forward moving, stopping, accelerating, and decelerating. Additionally, the control stability of wheelchair movements is enhanced. To optimize the sample library of AEO action signals, we employ a genetic algorithm that utilizes roulette selection with random acceptance to increase convergence speed. The individual fitness of the population is improved through parent crossover and sorting differential mutation operators. By optimizing the sample library based on bioelectricity sensors, the action signals are classified using eigenvalues, resulting in a further improvement in classification accuracy. The performance of the combined control system is evaluated by utilizing metrics such as accuracy rate, false activation rate, and misjudgment rate. The experimental results validate the excellent performance of the system. The wheelchair was successfully controlled to move towards the destination along a predetermined path using the combined control system. Overall, the combined control system expands the range of activities for rehabilitation patients.