Now showing items 1-7 of 7

    • Affective social anthropomorphic intelligent system 

      Mamun, Md. Adyelullahil; Abdullah, Hasnat Md. (Brac University, 2021-01)
      At present, intelligent virtual assistants (IVA) are not only about delivering the functionalities and increasing their performances; they also need a socially interactive personality. As human conversational styles are ...
    • 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 ...
    • Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model 

      Islam, Md. Tahmidul; Kabir, Abrar; Chowdhury, Imtiaz Ahmed; Afrin, Sadiya; Nahin, Rakibul Alam (Brac University, 2022-09)
      Recently, researchers have focused on understanding human sentiment using mechanical devices or reactions to any machinery activity. Computerization is becoming more prevalent in today’s environment. People are unaware of ...
    • Emotion detection using EEG signals 

      Hossain, Mohammad Adnan (Brac University, 2021-06)
      Emotions play a vital role in how people feel, think and act which makes it worthwhile for analyzing human behavior. As the patterns of emotions and their reflections differ from person to person, their study needs to be ...
    • Human sentiment analysis using natural language processing 

      Shamya, Md. Shamiul Haque Khan; Fahim, Md. Shariar Hossain; Khan, Niaz Makhdum; Monir, K.M Mahfuzul; Hussain, Mubasshir (Brac University, 2023-05)
      "Emotion is something that roams with us, the vibrant tapestry of our human existence. People are frequently so emotionally motivated that we may get a peek of their emotions simply by observing them, listening to them, ...
    • Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach 

      Esha, Ishraq Ahmed; Rahman, Shahrin; Chowdhury, Sayem Kader; Mim, Jannatul Ferdous (Brac University, 2023-05)
      In recent times, AI based emotion recognition also known as affective-computing which is a burgeoning branch of artificial intelligence to some extent also helping the computers to become more intelligent by scrutinizing ...
    • Prediction of success factors of FMCG commercials using signal processing and machine learning algorithms 

      Saquib, Nazmus; Mithun, Kaniz Fatema; Tasnim, Jarin; Sen, Pushpol (Brac University, 2021-06)
      In the highly advanced and competitive business world, today’s marketing strategy has become very difficult. To satisfy the needs and necessities of consumers, advanced marketing research methods are required to recognize ...