Tel: 5098593324 | e-Mail: leejuneyeoblee@gmail.com | Linkedin: www.linkedin.com/in/juneyeob

BCI Spark for Cloud Robotics

  • Collect the brain wave data with FFT Dataset through the Open BCI headset and Open BCI GUI
  • Build machine learning models whth Spark (Neural Network based and Random Forest)
  • Convert brain signal to proper dataframe on the database(Maria-DB) using python
  • Success to get the prediction based on user's thinking(40%) and motion(85%)
  • Click here to see vedio

Optimization Project

  • Code for eighteen standard benchmark functions with different properties.
  • An initial population matrix was created with different lengths and widths depending on the algorithm.
  • The last three algorithms were NEH algorithm. Flowshop, flowshop with blocking and flowshop with no-wait, were executed. the time, average output and standard deviation was taken from a list of different jobs and machine times.
  • GitHub

Web development

Google home with Freenove robot dog

will be updated.....