Laboratory for Computational NeuroErgonomics x NeuroEducation (CNElab)
Prof TP Jung, Co-Director of Center for Advanced Neurological Engineering, UCSD will visit CNElab, NTHU during 4-20 Nov. 2020 and deliver two talks on [...]
Invitation to submit papers to Frontiers in Neurorobotics. A New Frontiers new research topic just launched. For details, please refer to Applications of Novel Methods of Artificial Intelligence in Brain-Machine Interfaces.
招募博士後、助理、研究生與專題生，請留下您的資料，我們會儘速與您聯繫。We are seeking postdocs, research assistants and prospective students (undergraduates and postgraduates) who are passionate about data science, neuroscience, and brain-computer interface, to join our group in a variety of research topic. If interested, please fill out the application form. We will contact you shortly.
Our recent research work has been published by IEEE Transactions on Cybernetics (IF: 11.47)
本研究室「腦電感應」與「Gym B&B」分別獲VR battle 2020最佳技術獎與佳作。
本研究室獲109年科技部哥倫布計畫(Young Scholar Fellowship: Columbus Program): 發展超掃描腦機介面探索空間巡航表現之跨腦標記 (5年期: Feb 2020- Jan 2025)。主持人：莊鈞翔。
本研究室獲108年科技部優秀年輕學者計畫(Project for Excellent Junior Research Investigators): 發展閉迴路腦機介面以強化多重任務時的狀況認知 (3年期: Aug 2019-Jul 2022) NT3,223,000。主持人：莊鈞翔。
本研究室獲108年科技部腦科技專案計畫: 正念鑄心-整合神經回饋與虛擬實境以增進中老年族群的身心腦健康 (2年期: Jun 2019-Dec 2020) NT 13,581,000。主持人：北醫吳昌衛、共同主持人：長庚趙一平、許嘉芬 | 北教黃鳳英 | 交大黃植懋 | 海洋莊鈞翔
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 invaluable opportunity and useful technical toolkits, and more importantly, an in-depth understanding of the field and the confidence to confront challenging problems.
We have built a strong network of international and local collaborators based at University of California, San Diego, US Army Research Laboratory, University of Technology Sydney, Indian Statistical Institute, & Technical University of Berlin, Taipei Veterans General Hospital, and Research Center for Education and Mind Sciences, NTHU.
Leveraging Data Science Technique to Bring New Insight into Neuroscientific Problem
Developing Computational Algorithms and Brain-Computer Interfaces for Real-Life Applications
Building Multimodal Data Streaming and Analysis Infrastructure to Augment Human Performance
吳冠慧 (administrative assistant)
邱載峰, Eddy (Postgraduate, Autumn 2018)
李哲宇, Denis (Postgraduate, Autumn 2018)
廖堉翔, Charlie (Postgraduate, Autumn 2019)
徐浩哲, Howard (Postgraduate, Autumn 2019)
彭柏勳, Harry (Postgraduate, Autumn 2020)
張功逸, Cary (Postgraduate, Autumn 2019)
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)
彭珮筑 (Undergraduate, Spring 2020)
許庭瑜 (Undergraduate, Autumn 2020)
洪振杰 (Research Assistant, 2019-2020)
吳孟珊 (Research Assistant, 2020-now)
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.
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: https://www.youtube.com/user/VirtuixOmni