DocumentCode :
122453
Title :
Movement prediction with sensory feedback and environmental interaction
Author :
Chun Kee Chung ; Hong Gi Yeom ; Hyeongrae Lee ; Seokyun Ryun ; June Sic Kim
Author_Institution :
Interdiscipl. Program in Neurosci., Seoul Nat. Univ., Seoul, South Korea
fYear :
2014
fDate :
17-19 Feb. 2014
Firstpage :
1
Lastpage :
2
Abstract :
In the last decade, numerous brain-computer interface (BCI) studies have been performed to help disabled people. However, previous BCI methods have several limitations. First, the BCI system has a time delay which makes user inconvenience. Second, user of the BCI only can select a choice among limited options. Last, accuracy of the BCI is low which is a barrier to practical use. Here, we suggested a novel BCI method to solve these problems. Our results demonstrated that BCI response time can be reduced by predicting motor intentions from the readiness potential (Bereitschaftspotential; RP or BP) signals. We also showed that movement trajectory could be predicted from the non-invasive MEG signals with considerably high accuracy. In addition, our results revealed that the BCI performance will be improved by combining feedback information. Furthermore, we showed possibility of a BCI with tactile feedback. Our results will promote the development of a practical BCI system.
Keywords :
biomechanics; brain-computer interfaces; magnetoencephalography; medical signal processing; neurophysiology; BCI methods; brain-computer interface; environmental interaction; f eedback information; motor intentions; movement prediction; noninvasive MEG signals; sensory feedback; tactile feedback; user inconvenience; Accuracy; Brain; Educational institutions; Neuroscience; Read only memory; Tactile sensors; Trajectory; Brain-Computer interface; Movement trajectory prediction; Readiness potential; Sensory feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Brain-Computer Interface (BCI), 2014 International Winter Workshop on
Conference_Location :
Jeongsun-kun
Type :
conf
DOI :
10.1109/iww-BCI.2014.6782546
Filename :
6782546
Link To Document :
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