Now showing items 1-5 of 5

    • Classi fication of motor imagery tasks based on BCI paradigm 

      Hossain, Nahid; Hasan, Bhuiyan Itmam; Mohona, Mahfuza Humayra; Noshin, Kantat Rehnuma (Brac University, 2019-09)
      Motor imagery tasks are mental processes by which individual practices a set of actions in their mind without actually performing the physical movements. Research in the motor imagery tasks allow us to acquire critical ...
    • EEG signals analysis for motor imagery brain computer interface 

      Rahman, La z Maruf; Alam, Zawad; Rahman, Md. Musta-E-Nur (Brac University, 2019-08)
      A brain{computer interface is a medium for communication which converts neuronal signals into commands towards controlling external system. This thesis presented the process of classifying three motor imagery tasks using ...
    • Emotion recognition using EEG signal and deep learning approach 

      Islam, Sayedi Hassan Bin; Mehdi, Md. Quamar; Rohan, Bhuiyan Yash; Mahmood, Syed Atif Imtiaz (Brac University, 2019-08)
      Emotion is a mental state, which originates in the brain and is closely related to the nervous system. Emotion can be defined as a feeling expressed through, or detectable by voice intonation, facial expression body ...
    • Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches 

      Karim, Rezwanul; Nitol, Subah; Rahman, Md.Mushfiqur (BRAC University, 2018-12)
      In recent years, detecting epileptic seizure has gained a high demand in the field of research. It is such a common and high talked brain disorder, since more than 65 million individuals worldwide are affected by this ...
    • Exploring cognitive load and emotional states for the visually impaired 

      Afroz, Sharmin; Shimanto, Zubaed Hassan; Jahan, Ra qua Sifat (Brac University, 2019-04)
      Cognitive load and emotional states may impact for designing an assistive navigation aid for the Visually Impaired Peoples (VIPs). In this study, electroencephalogram (EEG) signals were captured from participants with ...