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 ...
    • Preserving heritage sites of Dhaka City using 3D modeling and virtual reality technology 

      Islam, Raisa; Ahmed, Salsabil; Himalay, Sadman Shawmik (BRAC University, 2018-07)
      This thesis presents a model that is aimed at preserving heritage sites of Dhaka by implementing 3D modeling and Virtual Reality technologies. The proposed model consists of reconstructed 3D models of historical establishments, ...
    • Virtual reality simulation for motion sickness 

      Hossain, Maruf (Brac University, 2019-09)
      Motion sickness, sea sickness and flight sickness are some of the common phenomena are faced by many. However this type of sickness can be treated through regular encounters of different situations which trigger such ...