6 papers
SwitchBraidNet: Quantisation-Aware Lightweight Architecture for Hybrid Brain-Computer Interface
Gourav Siddhad, Yogesh Kumar Meena
Hybrid brain-computer interfaces (BCIs) that integrate motor imagery (MI) and steady-state visual evoked potentials (SSVEP) provide high-dimensional neural decoding but typically e…
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…