Now showing items 1-2 of 2

    • Detection of wrist movement using EEG signal for brain machine interface 

      Farid, Ghani, Prof. Dr.; Gaur, Bhoomika; Varshney, Sidhika; Farooq, Omar; Khan, Yusufuzzama (Institute of Electrical and Electronics Engineers (IEEE), 2013-06)
      Brain machine interfaces (BMIs) allow patients suffering from neuromuscular disorders to control the movement of robotic limb or wheelchair under their own guidance. So far only invasive technologies e.g. Electrocorticography ...
    • Elbow movement detection using brain computer interface 

      Farid, Ghani, Prof. Dr.; Jilani, Musfira; Raghav, Mohit; Farooq, Omar; Yusuf Uzzama, Khan (Institute of Electrical and Electronics Engineers (IEEE), 2012-04)
      This paper investigates effectiveness of using a non-invasive Electroencephalographic (EEG) activity for Brain Computer Interface, to analyze the brain activity and translate human elbow movement into the movement of an ...