Human-in-the-Loop Approach to Safe Navigation of a Smart Wheelchair via Brain Computer Interface

2021 ◽  
pp. 197-209
Author(s):  
Lucio Ciabattoni ◽  
Francesco Ferracuti ◽  
Alessandro Freddi ◽  
Sabrina Iarlori ◽  
Sauro Longhi ◽  
...  
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Human In The Loop ◽  
Safe Navigation ◽  
Smart Wheelchair

scholarly journals Brain Computer Interface for Controlling Mobile Robot

2019 ◽  
Vol 8 (2S4) ◽  
pp. 152-156
Keyword(s):  
Mobile Robot ◽  
Communication System ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Disabled People ◽  
Prosthetic Devices ◽  
Data Flows ◽  
Software And Hardware ◽  
Communication Path ◽  
Smart Wheelchair

This Paper describes a brainwave controlled mobile robot based on brain computer interface (bci). This uses Matlab to analyze the brainwaves. Bci bypass the communication path between brain and computer to establish a communication system in which the data flows directly from brain to physical devices. Bci consists of software and hardware components that allow brain inputs to be translated as controls for machine. The different brain patterns are translated into different machine commands. These obtained commands are used to control the mobile robot. This technology is widely used in neuro-prosthetic devices, which helps people in achieving or improving their capability. . Our intention in this paper is to develop a smart wheelchair which will help disabled people in their mobility. The Bci consists of Neurosky brainwave headset which is connected to computer for extracting the data and to process real time commands, which is then used to control the module.

Simultaneous Classification of Multiple Motor Imagery and P300 for Increase in Output Information of Brain-computer Interface

2013 ◽  
Vol 133 (3) ◽  
pp. 635-641
Author(s):  
Genzo Naito ◽  
Lui Yoshida ◽  
Takashi Numata ◽  
Yutaro Ogawa ◽  
Kiyoshi Kotani ◽  
...  
Keyword(s):  
Motor Imagery ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Output Information

NON-INVASIVE BCI METHOD: EEG - ELECTROENCEPHALOGRAPHY

2019 ◽  
pp. 139-145
Author(s):  
Selma Büyükgöze
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Electrode Placement ◽  
Eeg Signals ◽  
Non Invasive ◽  
Brain Signals ◽  
Brain States ◽  
The Brain

Brain Computer Interface consists of hardware and software that convert brain signals into action. It changes the nerves, muscles, and movements they produce with electro-physiological signs. The BCI cannot read the brain and decipher the thought in general. The BCI can only identify and classify specific patterns of activity in ongoing brain signals associated with specific tasks or events. EEG is the most commonly used non-invasive BCI method as it can be obtained easily compared to other methods. In this study; It will be given how EEG signals are obtained from the scalp, with which waves these frequencies are named and in which brain states these waves occur. 10-20 electrode placement plan for EEG to be placed on the scalp will be shown.

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