文献类型：期刊文献

英文题名：A Novel EOG/EEG Hybrid Human-Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control

作者：Ma, Jiaxin[1];Zhang, Yu[2];Cichocki, Andrzej[3,4];Matsuno, Fumitoshi[1]

机构：[1]Kyoto Univ, Dept Mech Engn & Sci, Sch Engn, Kyoto 6158530, Japan;[2]E China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[3]RIKEN Brain Sci Inst, Lab Adv Brain Signal Proc, Wako, Saitama 3510198, Japan;[4]Polish Acad Sci, Syst Res Inst, PL-00901 Warsaw, Poland

年份：2015

卷号：62

期号：3

起止页码：876

外文期刊名：IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

收录：;EI(收录号：20151000602422);WOS:【SCI-EXPANDED(收录号:WOS:000351768500009)】；

基金：This work was supported in part by the Nation Nature Science Foundation of China under Grant 61305028, Fundamental Research Funds for the Central Universities under Grant WH1314023.

语种：英文

外文关键词：Electroencephalogram (EEG); electrooculogram (EOG); event-related potential (ERP); human-machine interface (HMI); robot control

摘要：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.