Diseño e implementación de un prototipo brain computer interface (BCI), para la manipulación de una pinza robótica utilizando comunicación Bluetooth.

Abstract

This paper aims handling robot gripper using brain signals obtained through using electrodes located on the person’s scalp using electroencephalographic principles. Based on this, electrical signals of very small magnitudes are obtained, which will enter to amplification stage and noise filtering. For obtaining the signals, will be used electrodes that act as sensors in the person’s scalp. The electrodes function is take the difference of electrical potential from the neurons located close to the scalp and which are in the order of mili-volts. The electrode positioning system 10/20 shall be used as the reference, which is used in medical testing, specifically for the neurology development, and used to record the patient’s brain activity in certain areas of the human brain. In addition it will be used a configuration to produce a better results for the study of visual potentials. Using arduino platform will be performed the signals acquisition and using serial communication with matlab software the brain signal obtained will be displayed in the PC monitor. Next, the electrical pulses generated by visual stimulation will be identified, and it will be define the activation from mechanism. This mechanism will manipulate a remote device which in this case will be a robotic gripper.