Victor Asanza's picture
First Name: 
Last Name: 
Escuela Superior Politecnica del Litoral
Short Bio: 
He was graduated as Electronic and Telecommunications Engineering on 2009 (ESPOL, Ecuador). He has worked as Professor of Electronic's Department since 2012 at Escuela Superior Politécnica del Litoral. He has been researching in fields like, FPGA-based Digital Systems Design, Embedded Systems, Hardware Design and Biomedical Signal Processing with a major research interest in Artificial Intelligence and Brain-Computer Interface. He was graduated as master in Automation and Industrial Control on 2012 (ESPOL, Ecuador). Currently, He is Ph.D. Candidate at Escuela Superior Politécnica del Litoral in Applied Computer Science.

Datasets & Analysis

The data acquisition process begins with capturing EEG signals from 20 healthy skilled volunteers who gave their written consent before performing the experiments. Each volunteer was asked to repeat an experiment for 10 times at different frequencies; each experiment was trigger by a visual stimulus.


The Temperature and Speed Control Lab (TSC-Lab) is an application of feedback control with an ESP32, an LED, two heaters, two temperature sensors, one direct current motor and an optical encoder as a revolution per minute (rpm) meter. The heater power output is adjusted to maintain the desired temperature setpoint. Thermal energy from the heater is transferred by conduction, convection, and radiation to the temperature sensor.


The electrodes are sensors capable of reading EMG signals or ocular myoelectric activity during eye movements [1]. For this purpose, two vertical electrodes and two horizontal electrodes were used, with a reference electrode on the forehead (See the figure). 10 subjects performed 10 pseudo-random repetitions of each of the following eye movements during the experiment: Up, Down, Right, Left, no movement (fixation in the center) and blinking.


The activities carried out by each of the 10 subjects were: Up, Down, Right, Left, no movement (fixation in the center) and blinking.

The tasks were separated by folders as detailed below:

  • CN - Normal Behavior
  • MD - Downward Movement
  • ML - Movement to the left
  • MP - Blink
  • MR - Right movement
  • MU - Upward Movement

Each folder contains 100 .CSV files, corresponding to the 10 tasks performed by each of the 10 subjects.

These files were numbered randomly in each of the folders.

Each file contains two columns corresponding to horizontal and vertical movement. In addition, each file contains 250 endpoints corresponding to a sampling of 120 data per second during the approximately 2 seconds of task completion.