16 citations · 56 across the 8 of their papers we have counts for
8 papers
In-Ear Electrode EEG for Practical SSVEP BCI
Surej Mouli, Ramaswamy Palaniappan, Emmanuel Molefi +1
Steady State Visual Evoked Potential (SSVEP) methods for brain computer interfaces (BCI) are popular due to higher information transfer rate and easier setup with minimal training,…
Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG
Ramaswamy Palaniappan, Surej Mouli, Howard Bowman +1
Half of all road accidents result from either lack of driver attention or from maintaining insufficient separation between vehicles. Collision from the rear, in particular, has bee…
Toward a reliable PWM-based light-emitting diode visual stimulus for improved SSVEP response with minimal visual fatigue
Surej Mouli, Ramaswamy Palaniappan
Steady state visual evoked response (SSVEP) is widely used in visual-based diagnosis and applications such as brain computer interfacing due to its high information transfer rate a…
DIY hybrid SSVEP-P300 LED stimuli for BCI platform using EMOTIV EEG headset
Surej Mouli, Ramaswamy Palaniappan
A fully customisable chip-on board (COB) LED design to evoke two brain responses simultaneously (steady state visual evoked potential (SSVEP) and transient evoked potential, P300)…
Incandescent Bulb and LED Brake Lights:Novel Analysis of Reaction Times
Ramaswamy Palaniappan, Surej Mouli, Evangelina Fringi +2
Rear-end collision accounts for around 8% of all vehicle crashes in the UK, with the failure to notice or react to a brake light signal being a major contributory cause. Meanwhile…
Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification
Lam Pham, Ian McLoughlin, Huy Phan +2
In this work, we propose an approach that features deep feature embedding learning and hierarchical classification with triplet loss function for Acoustic Scene Classification (ASC…
Robust Acoustic Scene Classification using a Multi-Spectrogram Encoder-Decoder Framework
Lam Pham, Huy Phan, Truc Nguyen +3
This article proposes an encoder-decoder network model for Acoustic Scene Classification (ASC), the task of identifying the scene of an audio recording from its acoustic signature.…
Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases
Lam Pham, Ian McLoughlin, Huy Phan +3
This paper presents a robust deep learning framework developed to detect respiratory diseases from recordings of respiratory sounds. The complete detection process firstly involves…