13 citations · 32 across the 8 of their papers we have counts for
5 papers · 1 filter
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…