Browsing by Subject "Human-computer interaction."
Now showing items 1-12 of 12
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An approach to detecting fake and misleading content on YouTube for the older generation in Bangladesh, using HCI and multilingual NLP models
(Brac University, 2024-10)The rapid advancement of digital technologies has dramatically impacted how people access information and connect globally. However, this revolution presents specific challenges, especially for the older generation, who ... -
Design and development of disinfecting robot for academic institutions
(Brac University, 2022-12)Cleaning up areas where people assemble is necessary due to the proliferation of several fatal infections, including the coronavirus. Nowadays, humans perform disinfection procedures in a variety of settings, which doesn't ... -
Developing usability heuristics for Bangladeshi E-commerce websites: a desktop and mobile focused approach
(BRAC University, 2024-01)In the era of digital technology, the importance of E-commerce has been immense, impacting economies, consumers and businesses alike. In Bangladesh, the use of E-commerce has completely changed the business landscape ... -
Development of a Brain-Computer Interface (BCI) for person with disabilities to control their wheelchair using brain waves along with health monitoring system
(Brac University, 2022-12)Humanity’s endeavor to learn the way the human brain works has been exponentially fastened through the means of Brain Computer Interface (BCI) technology. It has helped in mapping different electrical activities in the ... -
Early threat warning via speech and emotion recognition from voice calls
(BRAC University, 2018-12)The aim of this system is to identify potential cases of threats, and provide an early warning or alert to such cases. This will be based on voice such as voice chat over telecommunication networks or social media. The ... -
Efficient network traffic management and intelligent decision-making through machine learning and DNS log analysis
(Brac University, 2023-08)This research presents a comprehensive approach to network traffic management and analysis by leveraging DNS log analysis, machine learning techniques, and Software-Defined Networking (SDN) integration. In an office ... -
Emotion detection for Bangla language
(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 ... -
Human-centered UX/UI design: the impact of anthropological methods on user experience and interface research and design
(BRAC University, 2024-12)This paper studies anthropological integration into UX/UI research and design, as a part of an internship experience at Wonderif Studio Pvt. Ltd., a company highly focused on brand experiences and design in Dhaka, ... -
Improving Bangla sign language detection from thermal imagery: leveraging thermal heatmap-induced transfer learning and deep neural networks
(Brac University, 2024-10)This research explores fusion of deep learning for sign language recognition and thermal imaging, focused on advancing communication systems for the hearing impaired. Recognition of sign language is a crucial technology ... -
RED-LSTM: Real time emotion detection using LSTM
(Brac University, 2023-01)The development of the Internet of Things and voice-based multimedia apps has allowed for the association and capture of several aspects of human behavior through the use of big data, which consists of trends and patterns. ... -
The societal and economical impact of virtual reality
(Brac University, 2024-07-03)Immersive VR advances researchers' goal of investigating human perception in a controlled and ethical manner while using incredibly realistic stimuli that test subjects may actively explore. VR is also contributing in ... -
Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
(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 ...
