Objectives
The Centre for Brain-Computing Research (CBCR) focuses on fundamental and applied brain-computer interface (BCI) research.
Our research aims to understand the neural mechanisms of motor and cognitive processes and quantify them from the associated manifestations in brain signals. We are also developing robust, high-performance decoding algorithms using machine learning, especially deep learning, and signal processing approaches. Our objective is to advance the field of BCI and explore its potential applications in various domains.
Research Topics
- Deep learning algorithms for motor activity decoding (non-invasive BCI)
- Hand/wrist/upper limb motor decoding
- Continuous lower limb joint decoding
- Understanding of cognitive mechanisms and quantifying brain states from brain signals
- Continuous attention, arousal, fatigue detection
- Affective computing for multimodal continuous emotion classification
- Silent speech decoding from multimodalities (EEG/MEG/fMRI)
- Decoding olfactory responses from brain signals
- Explainable AI for brain decoding modeling
Application Areas
Collaborators
Contact Us
Centre for Brain Computing Research (CBCR), NTU Singapore - N3.1-B1a-01
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