Browsing Thesis & Report, BSc (Computer Science and Engineering) by Subject "BCI"

Now showing items 1-6 of 6

    • Application of machine learning in attentiveness detection from EEG signal 

      Ridi, Sadia Sobhana; Tandra, Jannatul Farzana; Emon, Mahmudul Hasan; Mahmud, Md Ridwan; Tabassum, Sumaiya (Brac University, 2022-09-29)
      Brain-computer interface (BCI) spellers enable severely motor-impaired people to communicate through brain activity without the use of their muscles. Our brains precisely predict what we will think. If a human-readable ...

    • 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 ...

    • Detecting navigation challenges for the visually impaired with mobile monitoring of biosignal 

      Islam, Mohammad Waseq ul; Tasnim, Ridwana; Bhuiyan, MD. Hasib Ullah (Brac University, 2020-04)
      In recent years, mobile Brain Computer Interface (BCI) has gained much popularity in the design of navigation aids. This opens up the platform to build navigation aids based on the level of stress imposed on visually ...

    • 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 ...

    • Electroencephalography based brain controlled grasp and lift 

      Chakraborty, Pritam; Akter, Sanjida; Hasin, Bariyat; Ahmed, Syeda Faria (Brac University, 2021-09)
      The complexities and challenges of performing daily fundamental activities like getting dressed, answering a phone call, opening and closing the door, writing something down, or even consuming foods for patients who have ...

    • 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 ...