A Novel EOG/EEG Hybrid Human–Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control
Top Cited Papers
- 12 November 2014
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Biomedical Engineering
- Vol. 62 (3), 876-889
- https://doi.org/10.1109/tbme.2014.2369483
Abstract
This study presents a novel human-machine interface (HMI) based on both electrooculography (EOG) and electroencephalography (EEG). This hybrid interface works in two modes: an EOG mode recognizes eye movements such as blinks, and an EEG mode detects event related potentials (ERPs) like P300. While both eye movements and ERPs have been separately used for implementing assistive interfaces, which help patients with motor disabilities in performing daily tasks, the proposed hybrid interface integrates them together. In this way, both the eye movements and ERPs complement each other. Therefore, it can provide a better efficiency and a wider scope of application. In this study, we design a threshold algorithm that can recognize four kinds of eye movements including blink, wink, gaze, and frown. In addition, an oddball paradigm with stimuli of inverted faces is used to evoke multiple ERP components including P300, N170, and VPP. To verify the effectiveness of the proposed system, two different online experiments are carried out. One is to control a multifunctional humanoid robot, and the other is to control four mobile robots. In both experiments, the subjects can complete tasks effectively by using the proposed interface, whereas the best completion time is relatively short and very close to the one operated by hand.Keywords
Funding Information
- Nation Nature Science Foundation (61305028)
- Fundamental Research Funds for the Central Universities (WH1314023)
This publication has 49 references indexed in Scilit:
- Decoding of four movement directions using hybrid NIRS-EEG brain-computer interfaceFrontiers in Human Neuroscience, 2014
- EVALUATION AND APPLICATION OF A HYBRID BRAIN COMPUTER INTERFACE FOR REAL WHEELCHAIR PARALLEL CONTROL WITH MULTI-DEGREE OF FREEDOMInternational Journal of Neural Systems, 2014
- A Speedy Hybrid BCI Spelling Approach Combining P300 and SSVEPIEEE Transactions on Biomedical Engineering, 2013
- A novel BCI based on ERP components sensitive to configural processing of human facesJournal of Neural Engineering, 2012
- Enhanced performance by a hybrid NIRS–EEG brain computer interfaceNeuroImage, 2012
- A hybrid brain-computer interface control strategy in a virtual environmentJournal of Zhejiang University SCIENCE C, 2011
- A hybrid brain–computer interface based on the fusion of electroencephalographic and electromyographic activitiesJournal of Neural Engineering, 2011
- Hybrid EEG-EOG brain-computer interface system for practical machine control2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010
- Toward a hybrid brain–computer interface based on imagined movement and visual attentionJournal of Neural Engineering, 2010
- Self-Paced Operation of an SSVEP-Based Orthosis With and Without an Imagery-Based “Brain Switch:” A Feasibility Study Towards a Hybrid BCIIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2010