Determining the User's Requirements for an Intelligent Mind-Controlled Prosthetic Lower Limb System

Brain-Computer Interface technology (BCI) evolved since 70’, from a project made for studying brain affection to an approach of giving the ability to people with massive muscular affection. The basis of BCI is the electroencephalography technique (EEG) which captures brain signals from neuronal activity using electrodes placed on the scalp. These signals are interpreted as commands that can be used to control applications or external devices. EEG non-invasive approach is widely preferred due to non-critical procedures, and it doesn't need or require surgery which can be expensive and dangerous. The current prosthetic leg could be expensive, heavy, and hard to control by disabled people. To determine the functional and non-functional requirements of the user, and learn how users wish to engage with the prosthetic lower limb intelligent system, a quantitative questionnaire is offered in this study. The participant's responses will be considered the basis of the system design. The goal of this quantitative questionnaire is to build a low-cost, lightweight, and intelligent functional bionic prosthetic leg that meets the functional and non-functional requirements of the user. This system will be controlled by mind commands using a dedicated neuro headset.