Brain-Machine Interface Systems Research Group

Brain-Machine Interface
Systems Research Group

Decoding neural signals to connect mind and machine—
Restoring, Enhancing, and Understanding Human Potential.

EEG-based brain-computer interface system with neural signal monitoring and robotic assistive control

From Neural Activity to Real-World Action

01
Sense

Neural Interfaces

EEG • fNIRS • Neural acquisition • Sensor systems

Acquire reliable neural activity through EEG, fNIRS and multimodal sensing.

02
Interpret

Intelligent Signal Analysis

Signal processing • Machine learning • Deep learning

Transform neural signals into meaningful representations using intelligent learning algorithms.

03
Translate

Human-Centred BMI Systems

Neurorehabilitation • Assistive systems • Human-machine control

Convert decoded intent into interaction, rehabilitation and assistive control.

Project Demos

See our systems in action.

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Media Coverage

Featured in the media

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The Straits Times — SIT completes move, looks to deepen real-world learning
The Straits Times, Singapore · 15 September 2025

The Straits Times — SIT completes move, looks to deepen real-world learning

The Straits Times featured the Brain-Computer Interface research being developed at the Singapore Institute of Technology's Punggol campus. The system uses EEG to decode…

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Research Support

Acknowledgement of Research Funding

The research conducted in our laboratory has been supported by grants from the following funding agencies

  • Ministry of Education (MOE) Singapore
  • Ministry of Defence (MINDEF) Singapore
  • National Medical Research Council (NMRC) Singapore
  • DSO National Laboratories Singapore
  • Aerobe Pte Ltd., Singapore
  • Mashwire Pte. Ltd., Singapore
  • European Aeronautic Defence & Space Company (EADS) Singapore
  • Singapore Millennium Foundation
  • Civil Aviation Authority of Singapore (CAAS)
  • Airbus Group Innovations
  • Department of Science and Technology (Govt. of India)
  • UVJ Technologies Pvt Ltd., India

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