13 citations · 32 across the 8 of their papers we have counts for
8 papers
Modified TSception for Analyzing Driver Drowsiness and Mental Workload from EEG
Gourav Siddhad, Anurag Singh, Rajkumar Saini +1
Driver drowsiness is a leading cause of traffic accidents, necessitating real-time, reliable detection systems to ensure road safety. This study proposes a Modified TSception archi…
MECASA: Motor Execution Classification using Additive Self-Attention for Hybrid EEG-fNIRS Data
Gourav Siddhad, Juhi Singh, Partha Pratim Roy
Motor execution, a fundamental aspect of human behavior, has been extensively studied using BCI technologies. EEG and fNIRS have been utilized to provide valuable insights, but the…
DrowzEE-G-Mamba: Leveraging EEG and State Space Models for Driver Drowsiness Detection
Gourav Siddhad, Sayantan Dey, Partha Pratim Roy
Driver drowsiness is identified as a critical factor in road accidents, necessitating robust detection systems to enhance road safety. This study proposes a driver drowsiness detec…
Neural Networks Meet Neural Activity: Utilizing EEG for Mental Workload Estimation
Gourav Siddhad, Partha Pratim Roy, Byung-Gyu Kim
Electroencephalography (EEG) offers non-invasive, real-time mental workload assessment, which is crucial in high-stakes domains like aviation and medicine and for advancing brain-c…
Awake at the Wheel: Enhancing Automotive Safety through EEG-Based Fatigue Detection
Gourav Siddhad, Sayantan Dey, Partha Pratim Roy +1
Driver fatigue detection is increasingly recognized as critical for enhancing road safety. This study introduces a method for detecting driver fatigue using the SEED-VIG dataset, a…
Enhancing Small Object Encoding in Deep Neural Networks: Introducing Fast&Focused-Net with Volume-wise Dot Product Layer
Ali Tofik, Roy Partha Pratim
In this paper, we introduce Fast&Focused-Net, a novel deep neural network architecture tailored for efficiently encoding small objects into fixed-length feature vectors. Contrary t…
Enhancing EEG Signal-Based Emotion Recognition with Synthetic Data: Diffusion Model Approach
Gourav Siddhad, Masakazu Iwamura, Partha Pratim Roy
Emotions are crucial in human life, influencing perceptions, relationships, behaviour, and choices. Emotion recognition using Electroencephalography (EEG) in the Brain-Computer Int…
Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich Documents
Tofik Ali, Partha Pratim Roy
This paper introduces a deep learning model tailored for document information analysis, emphasizing document classification, entity relation extraction, and document visual questio…