Title :
Problem solving using hybrid brain-computer interface methods: A review
Author :
Henshaw, James ; Wei Liu ; Romano, Daniela
Author_Institution :
Dept. of Comput. Sci., Univ. of Sheffield, Sheffield, UK
Abstract :
The latest advancements in hybrid brain-computer interface (hBCI) research are reported in this paper. Specifically we look at the latest pure hBCI systems, which use two or more different brain-computer interface (BCI) signals to allow the user to interact with a computer system. A special emphasis is placed on investigating how problems encountered by standard BCI systems are now being tackled by hBCI methods.
Keywords :
brain-computer interfaces; BCI signals; brain-computer interface signals; computer system; hBCI methods; hBCI systems; hybrid brain-computer interface methods; hybrid brain-computer interface research; problem solving; standard BCI systems; Accuracy; Brain-computer interfaces; Computers; Electroencephalography; Standards; Time-frequency analysis; BCI; BMI; ERD; P300; SSVEP; brain-computer interface; hBCI; hybrid; review;
Conference_Titel :
Cognitive Infocommunications (CogInfoCom), 2014 5th IEEE Conference on
Conference_Location :
Vietri sul Mare
DOI :
10.1109/CogInfoCom.2014.7020448
