Now showing items 1-12 of 12

    • Applying tDCS over the dominant Hemisphere to observe event-related Desynchronization 

      Khan, Akif Ahmed; Bastob, Abu Wakkas; Ahmed, Bushra; Reza, Abdullah Al (Brac University, 2019-12)
      Although keeping us alive is arguably the most important function of the human brain, the human brain is responsible for a host of functions|including processing of environmental stimuli. Electroencephalography (EEG) is ...
    • 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 ...
    • Consumer behaviour analysis using EEG signals for Neuromarketing Application 

      Amin, Chowdhury Rabith; Hasin, Mirza Farhan; Leon, Tasin Shafi; Aurko, Abrar Bareque (Brac University, 2019-12)
      Neuromarketing is applying neuropsychology in marketing research which studies consumer sensory-motor such as cognitive and affective response to marketing stimuli with the help of modern technologies. It is one of the ...
    • 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 ...
    • 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 ...
    • Factor analysis of ad liking and prediction of purchase intent through emotionomics 

      Toma, Syeda Tanzina Farhin; Bhuiyan, Shahan Jamil; Dawood, Tahmid; Saha, Chandan Kumar (Brac University, 2019-12)
      Marketing strategy is being a new challenge in this modern era. Along with the global market, people's choices are also changing so to grab the focus of buyers, organizations are making changes in their marketing policy ...
    • 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, ...
    • Prediction of Epileptic Seizure onset based on EEG signals and learning approaches 

      Nazim, Tausif; Abid, MD. Bakhtiar; Mamun, Jahid Hasan (Brac University, 2020-04)
      Epileptic seizures happen due to sudden bursts of electrical activity in the brain. This uncontrolled outburst may produce physical problems, abnormal behavior. Before the beginning of the seizure, a prediction is very ...