CH (Michael) Chuang/莊鈞翔

Laboratory for Computational
NeuroErgonomics x NeuroEducation (CNElab)

Enhance human performance via AI-BCI

智慧神經人因工程與教育實驗室

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[member only]

Volunteer for a research study

[EEG/BCI Workshop & Invited Talks]

ABOUT CNElab

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.

OUR PEOPLE

Journee

CNElab Twins

CNElab Brothers

許麗婷 (Research assistant)

吳希彥, 心諮系 (PhD Student, Autumn 2020)

徐浩哲, Howard, 資工系 (PhD Student, Autumn 2022)

張功逸Cary
資應所
(PhD Student, 2022)

李冠毅 Ken
資工系 Graduate, 2022

宮臨凡
資應所 Graduate, 2021

許庭瑜
資應所 Graduate, 2022

邱安緹
學科所
Graduate, 2022

林子淳
資應所 Graduate, 2022

陳昱祺
資應所 Graduate, 2023

陳昱如
資應所Graduate, 2023

Victor D. Lopez
資應所 Graduate, 2023

雲奕銘Undergraduate, 2023

許安媺Undergraduate, 2022

賀茂騏Undergraduate, 2023

俞昊天Undergraduate, 2023

張添恩Undergraduate, 2024

Alumni

吳冠慧 (administrative assistant)
洪振杰(Research Assistant, 2019-2020)

廖堉翔, Charlie (Postgraduate, Autumn 2019): 阻塞型睡眠呼吸中止症患者腦電波頻譜功率的動態變化
邱載峰, Eddy (Postgraduate, Autumn 218): 結合虛擬實境與腦電波探究行人執行多重任務時的大腦動態
李哲宇, Denis (Postgraduate, Autumn 2018): 心率變異分析與穿戴式裝置於慢性偏頭痛患者之療效預測
徐浩哲, Howard (Postgraduate, Autumn 2019): 運用超掃描腦波探究雙人視覺競合互動
張功逸, Cary (Postgraduate, Autumn 2020): 基於去雜訊自動編碼器U-Net架構使用混合獨立訊號自動去除EEG雜訊
彭柏勳, Harry (Postgraduate, Autumn 2020): 運用超掃描腦波技術探究雙人空間引導任務
枋劭勳, Shane (Postgraduate, Autumn 2021): 基於注意力機制的深度學習模型發現大腦網路之方向性連接
陳羿絜Undergraduate, 2022
王芸若Undergraduate, 2022
許瀞予Undergraduate, 2022
鄭芝涵Undergraduate, 2022
江詩媺(Undergraduate, Autumn 2021)
邱于庭(Undergraduate, Autumn 2021)
鍾牧樺(Undergraduate, Autumn 2021)
邱薇帆(Undergraduate, Autumn 2021)
黃穎恩(Undergraduate, Autumn 2021)
黃奕凱(Undergraduate, Autumn 2021)
彭珮筑(Undergraduate 2020)
許庭瑜(Undergraduate 2020)
林映彤(特教系 Undergraduate)
鄧皓軒(特教系 Undergraduate)
黃芊瑀 (Undergraduate, Spring 2020)
葉智竣(Undergraduate, Spring 2020)
康致瑋(Undergraduate, Spring 2020)
林立衡(Undergraduate, Spring 2020)
陳昱豪(Undergraduate, Spring 2020)
王晧宇 (Undergraduate, Spring 2019)
何寬宥 (Undergraduate, Spring 2019)
蘇詣軒 (Undergraduate, Spring 2019)
何寬猷 (Undergraduate, Spring 2019)
蘇栢誼 (Undergraduate, Spring 2019)
游俊宏 (Undergraduate, Spring 2019)
林君瀚 (Undergraduate, Spring 2019)
呂學承 (Undergraduate, Spring 2019)
王柏凱 (Undergraduate, Spring 2019)
張守中 (Undergraduate, Spring 2018)

Augmenting human performance via VR tech

Enhances Cognitive Control Ability for Elders via VR/AR Technology

BACKGROUND AND AIMS

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.

METHODS

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.

OMNIDIRECTIONAL TREADMILL

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: https://www.youtube.com/user/VirtuixOmni