Browsing by Subject "Human-computer interaction"

Now showing items 1-16 of 16

    • Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER) 

      Hossain, Arafat; Chakraborty, Akash; Syara, Syeda Rifa; Rahman, Saadman; Tanmoy, Fahad Muntasir (Brac University, 2022-06-05)
      There are several works on mood detection by machine learning from physical and neuro- physical data of people, along with works on emotion recognition using eye-tracking. We want to show that a person’s mood can be detected ...

    • Behavior change analysis due to violent video gaming using deep learning models 

      Rahman, Akhlak Ur; Raj, Fahad Khan; Afnan, Monthasir Delwar; Rahad, Rakib Hasan; Ahmed, Md. Samir Uddin (Brac University, 2024-02)
      In the 21st century, technology has advanced at such a wondrous rate that people resort to this developed medium to carry out most of their tasks, from household chores to daily necessities and almost everything else. ...

    • 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 ...

    • Doodle2Clothing : a clothing design recognition and searching model from a doodle drawing 

      Ani, MD Fahim Afridi; Palak, Asif Zubayer; Dip, Shaikh Atisha Rahbath; Pramanik, Arnab; Medha, Tayaba Amin (Brac University, 2024-01)
      In recent years, pattern recognition has made significant progress; as computers can now identify and classify patterns of objects from various types of visual sources. These substantial forward strides in image and ...

    • 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 detection for Bangla language 

      Rushan, Rowshan Rahman; Hossain, Sazid; Shovon, Shams Shahariar; Rahman, Md Arafat (Brac University, 2024-01)
      This project aims to identify emotions and generate Bangla-language emojis. Emojis have become essential to digital communication, transcending language borders and improving textual exchanges. This study identifies ...

    • 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 ...

    • Enrichment of indigenous pre-primary education of Bangladesh through HCI 

      Azhar, Tawsif; Karmakar, Sowmik Shovon; Jannat, Fiona-E; Hossain, S. M. Bayazid (Brac University, 2022-05)
      There are some indigenous peoples currently residing in Bangladesh. Most of them are in the hilly area in the southeast part of the country. These areas of Bangladesh are tough to reach. Even though modern technology ...

    • Exploring the psychological factors of consumer purchase behavior in Bangladesh on the adoption of digital payment apps 

      Karmaker, Samanta; Oishi, Mst. Elma Fardouse; Qasem, Abrar; Sami, Shad Been Sharif (Brac University, 2024-01)
      Consumer purchase behavior and its relation with human psychology is a fascinating and important field of study. Understanding consumer behavior and factors that can drive their decision on adopting new products and ...

    • Investigating music algorithm in neural information processing: robust feature extraction for emotional state classification from multichannel EEG signals 

      Hossain, Md. Sakib Abrar (Brac University, 2021-08)
      The major challenge in any electroencephalogram (EEG) classi cation task lies with in the dilemma of feature extraction, as raw time series signal provide little correlated information, yet it holds colossal varieties ...

    • Machine learning In breast cancer prognosis and prediction 

      Chowdhury, Shah Abul Hasnat; Faruqee, Golam Akbar; Hassan, Sayeed; Jawad, Golam Mostafa Chowdhury (Brac University, 2022-05-19)
      In the human body, cancer is a condition that causes cells to proliferate quickly and uncontrolled across the whole body. It has the ability to arise in any of the billions of cells that build up the human body. Human cells ...

    • Motion based gesture detection using frame composition LSTM 

      Islam, Ishraqul; Islam, Md. Saqif; Provat, Mahin Islam; Khandakar, Shaneen Shadman; Karim, Fardin Junayed (Brac University, 2022-09-28)
      Years of technological progress have made machines capable of identifying humans in images and videos. Moreover, machines like computers can also detect our hand gestures. Gesture recognition is the tool needed to ...

    • Preserving heritage sites of Dhaka City using 3D modeling and virtual reality technology 

      Islam, Raisa; Ahmed, Salsabil; Himalay, Sadman Shawmik (BRAC University, 2018-07)
      This thesis presents a model that is aimed at preserving heritage sites of Dhaka by implementing 3D modeling and Virtual Reality technologies. The proposed model consists of reconstructed 3D models of historical establishments, ...

    • Sentiment analysis using Natural Language Processing (NLP) & deep learning 

      Islam, Kazi Minhazul; Reza, Md. Safkat; Yeaser, MD. Samin (Brac University, 2021-09)
      It is an age of the Web and electronic media, and social media stages are one of the foremost frequently used communication mediums these days. But a few individuals utilize these platforms for a noxious reason and among ...

    • Two dimensional convolutional neural network CNN approach for detection of Bangla sign language 

      Nag, Pollock; Khan, Tamim Mahmud; Biplob, Shaikh Mehedi Hasan; Barmon, Rachayita; Rahman, MD. Minhaj (Brac University, 2022-09-28)
      Sign language is known as the primary communication medium for deaf and mute people. But the lack of available resources and a steep learning curve deter the average person from learning it making communication with the ...

    • Virtual reality simulation for motion sickness 

      Hossain, Maruf (Brac University, 2019-09)
      Motion sickness, sea sickness and flight sickness are some of the common phenomena are faced by many. However this type of sickness can be treated through regular encounters of different situations which trigger such ...