Laboratory for Computational
NeuroErgonomics x NeuroEducation (CNElab)

Enhance human performance via AI-BCI



Research Focus

  • Leveraging Data Science Technique to Bring New Insight into Neuroscientific and Neuroeducation Problems

  • Developing Mobile Brain and Body Imaging Techniques to Analyze Neural Dynamics in Actively Behaving Participants

  • Developing Computational Algorithms and Brain-Computer Interfaces for Real-Life Applications and Science of Learning

  • Building Multimodal Data Streaming and Analysis Infrastructure to Augment Human Performance

We are CNElab!

Research on Brain-Computer Interfaces (BCIs) began in the 1970s at the Universit California, Los Angeles. Since then it has become a flourishing research area in many leading institutions worldwide. BCI is also the key research topic in the two largest-scale brain research projects in the world: the Brain Initiative Project (2014-2024, 1 billion USD) in the US, and the Human Brain Project (2014-2024, 1.2 billion Euros) in the EU. These intensive research projects are funded by governments and invested in by industries and offer a great boost to the BCI market, which is expected to reach $1.46 billion by 2020. Advancing the development of effective BCI technologies will foster growth and innovation in neuroergonomics and neuroeducation.

We have made substantial contributions to the field of biomedical signal processing, brain-computer interface (BCI), and machine learning, with several research articles published in high-quality journals. This experience of theoretical exploration has given us an invaluable opportunity and useful technical toolkits, and more importantly, an in-depth understanding of the field and the confidence to confront challenging problems.


Journee (participant no. 1)

CNElab Twins

CNElab Brothers

吳冠慧 (administrative assistant)

吳希彥, 心諮系 (PhD Student, Autumn 2020)

邱載峰, 資工系 Eddy (PhD Students, Autumn 2021)

徐浩哲, Howard, 資工系 (Postgraduate, Autumn 2019)

張功逸, Cary, 資工系 (Postgraduate, Autumn 2020)

彭柏勳 Harry, 資工系 (Postgraduate, Autumn 2020)

枋劭勳, 資工系 (Postgraduate, Autumn 2021)

宮臨凡, 資應所 (Postgraduate, Autumn 2021)

許庭瑜, 資應所 Postgraduate, Autumn 2022

學士班 Undergraduate, Autumn 2021

學士班 Undergraduate Autumn 2021

學士班 Undergraduate Autumn 2021

鍾牧樺, 運科系 Undergraduate, Autumn 2021

邱于庭, 運科系 Undergraduate, Autumn 2021

江詩媺, 運科系 Undergraduate, Autumn 2021

特教系 Undergraduate

特教系 Undergraduate



  • 彭珮筑(Undergraduate 2020)、許庭瑜(Undergraduate 2020): [title ....]

  • 洪振杰(Research Assistant, 2019-2020) 、.....................


Augmenting human performance via VR tech

Virtual reality (VR)

  • VR Headsets


  • Omnidirectional treadmill


Enhances Cognitive Control Ability for Elders via VR/AR Technology


It has been found that impairment in navigation ability in the elderly is one of the earliest markers of dementia or Alzheimer’s disease. In my previous MOST project, Navigation Task Training Enhances Cognitive Skills that Decline with Age or Diseases, I collaborated with Taipei Medical University to investigate the brain dynamics of patients when they were navigating in a virtual-reality environment. Navigation is a fundamental and multifaceted human ability involving complex cognitive functions that allow the exploration of new environments as well as fast and efficient negotiation of well-known space. Spatial abilities undergo an apparent decline across the life span; older adults commonly lose their way and engage in fewer out-of-home activities, leading to reduced mobility and quality of life. It is thus particularly urgent for an ever-aging society to develop some technology to promote health.


Many cognitive assessment methodologies and training paradigms have been proposed to tackle this problem, e.g. our previous work and a Nature paper. These works show that cognitive control ability, as reflected by EEG local and global coherence, can be assessed and remediated by training in goal-directed multitasking. Additionally, recent advances in AR shows a promising and portable headset solution to use in an everyday basis. I am planning to integrate EEG and AR with the multitasking contents to help elders prevent cognitive impairment.


This new and unique equipment, Virtuix Omnidirectional Treadmill, enables people to walk, run, and jump in any direction around virtual world that providing endless VR walking experience. We believe that this platform can offer a good opportunity to expand our knowledge in relation to natural human behaviors as well as subjects in the area of real-world brain dynamics if equiped with neuroimaging tools such as EEG. More information:

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Our Equipment

Wireless EEG

LiveAmp, Brain Products

VR treadmill

Katwalk mini