653 citations · 933 across the 8 of their papers we have counts for
8 papers
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Arafat Rahman, Muhammad E. H. Chowdhury, Amith Khandakar +5
With the rapid advancement of technology, different biometric user authentication, and identification systems are emerging. Traditional biometric systems like face, fingerprint, an…
Unified Learning Approach for Egocentric Hand Gesture Recognition and Fingertip Detection
Mohammad Mahmudul Alam, Mohammad Tariqul Islam, S. M. Mahbubur Rahman
Head-mounted device-based human-computer interaction often requires egocentric recognition of hand gestures and fingertips detection. In this paper, a unified approach of egocentri…
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization
Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir +8
Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one of the top 10 leading causes of death. Accurate and early detection of TB is very impo…
SPECMAR: Fast Heart Rate Estimation from PPG Signal using a Modified Spectral Subtraction Scheme with Composite Motion Artifacts Reference Generation
Mohammad Tariqul Islam, Sk. Tanvir Ahmed, Celia Shahnaz +1
The task of heart rate estimation using photoplethysmographic (PPG) signal is challenging due to the presence of various motion artifacts in the recorded signals. In this paper, a…
CNN-Based Prediction of Frame-Level Shot Importance for Video Summarization
Mohaiminul Al Nahian, A. S. M. Iftekhar, Mohammad Tariqul Islam +2
In the Internet, ubiquitous presence of redundant, unedited, raw videos has made video summarization an important problem. Traditional methods of video summarization employ a heuri…
Statistical Selection of CNN-Based Audiovisual Features for Instantaneous Estimation of Human Emotional States
Ramesh Basnet, Mohammad Tariqul Islam, Tamanna Howlader +2
Automatic prediction of continuous-level emotional state requires selection of suitable affective features to develop a regression system based on supervised machine learning. This…