Browsing by Subject "FFT"

Now showing items 1-6 of 6

    • Affective state recognition through analysis of electroencephalogram signals by using extreme gradient boosting 

      khan, Md. Sakib; Salsabil, Nishal; Amir, Rayeed; Khandaker, Moumita (Brac University, 2021-01)
      Emotion analysis has become a very important aspect in everyday life. It gives a detailed understanding of the behavior of human. In this research, we have focused on three dimensions of emotion. These are arousal (calm ...

    • Design and VLSI implementation of high performance face recognition system 

      Dewan, Priyanka Das; Shamma, Tasnim Harun; Abbas, Afifa; Mondol, Raktim Kumar (BRAC University, 2013-04)
      In this paper, we have proposed a novel hardware architecture for face-recognition system. In order to make the system cost effective we have used a simple yet efficient algorithm of face-recognition system. We have designed, ...

    • Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals 

      Amiz, Asef Hassan; Talukder, Md. Golam Muid; Shahriar, Labib; Chowdhury, Sahal Ahamad; Hasan, Md. Mehedi (Brac University, 2021-06)
      Epilepsy is the most common neurological issue in people after stroke. Around 40 or 50 million individuals on the planet endure epilepsy. Epilepsy is characterized by an irregular seizure in which abnormal electrical ...

    • 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 ...

    • Hardware architecture design of face recognition system based on FPGA 

      Mondol, Raktim Kumar; Khan, Muhammadimran; Mahbubul, Hye, A. K.; Hassan, Asif S. (© 2015 Institute of Electrical and Electronics Engineers Inc., 2015)
      A novel hardware architecture for face-recognition system has been proposed in this paper. In order to make the system cost effective a simple yet efficient algorithm of face-recognition system has been used. We have ...

    • 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, ...