Now showing items 1-7 of 7

    • 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 ...
    • Cognitive efficiency in robot control by Emotiv EPOC 

      Chowdhury, Pritom; Shakim, S. S. Kibria; Karim, Md. Risul; Rhaman, Md. Khalilur (© 2014 IEEE Computer Society, 2014-05)
      Brain Computer Interface (BCI) has opened a new era in the field of neuroscience. It has the potentiality to improve the quality of life of severely disabled patients. It allows them to regain the power of moving things ...
    • 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 ...
    • IoT based brain-wave assistive system for paralyzed individuals 

      Monowara, Syeda Maliha; Shariar, Md Ahnaf; Islam, Md. Shafayat Ul; Jawad, Muhammed Junaid Noor (BRAC University, 2020-12)
      Individuals suffering from severe paralysis encounter a multitude of issues that influence their quality of life. Paralysis can occur due to impairments of the central nervous system (CNS) causes by brain-stroke, ...