Hybrid brain computer interface in wheelchair using voice recognition sensors

Abstract

Brain computer interface is a direct technological interface between a brain and the computer. It is a fast growing emergent technology in which researches try to build a direct channel between a brain and a computer. In this paper we use a Hybrid BCI in order to provide large number of commands with increased accuracy to the BCI user. BCI can serve as powerful aids for severely disabled people in their daily life. This technology is especially used to help the disabled people to move voluntarily. In BCI wheelchair the movement of the wheel chair is going to be controlled by adding voice recognition sensors in order to give an effective result with less effort. The voice and the brain signals when synchronises with each other then it is converted as a movement in the wheelchair by moving it towards left, right, accelerating, decelerating etc,. In this paper we propose a hybrid brain computer ionterface in wheelchair using voice recognition sensors which can be used by physically challenged persons by reducing the effort for high concentration power. Keywords-Brain Computer Interface (BCI), Electroencephalography (EEG), Motor imaginary, Mind 8MachineInterface(MMI).

Extraction of Brain Signal during Motor Imagery Task for Wheelchair Control Command

“…In (d) Fig. 4 Step of the Detection ERD/ERS from subject 2,6 th instruction, (a) Raw data from EEG, (b) Result of BPF with cut off frequency 8-12Hz, (c) Result of squaring and moving average, (d) Detection ERD/ERS this step, amplitude has decreased. Fig 4(c) shows the squaring of BPF which causes amplitude increasing.…”

“…Wheelchair is one of tools which could help someone to move when he/she is paralyzed. Wheelchair has been designed to ease the user in controlling the wheelchair, for instance by using joystick as [1] or bio impedance as [2]. However, those could not be used by patients with upper limb paralysis so another alternative is required for the patients.…”

“…Over the years, numerous research about BCI have been conducted, such as the application of BCI to navigate a wheelchair as [6] and [7]. The previous research about the EEG signal analysis have been done [8].…”

Design of Voice Controlled Smart Wheelchair

“…In 2014, Anousouya D, et al, used a Hybrid BCI in order to provide large number of commands with increased accuracy to the BCI user. The voice and the brain signals were synchronized and converted to a movement towards, left, right, accelerating, and decelerating [13]. Each one of the works above has its limitation and weakness.…”