Abstract
In this study, a c-VEP based BCI system was developed to run on three distinctive pseudorandom sequences, namely the m-code, the Gold-code, and the Barker-code. The Visual Evoked Potentials (VEPs) were provoked using these codes. In the online session, subjects controlled a LEGO(®) Mindstorms(®) robot around a fixed track. Choosing the optimal code proved a significant increase in accuracy (p<;0.00001) over the average performance. No single code proved significantly more accurate than the others (p=0.81), suggesting that the term "optimal code" is subject-dependent. However, the Gold-code was significantly faster than both alternatives (p=0.006, p=0.016). When choosing the optimal code for accuracy, no significant decrease in Time Per Identification (TPI) was found (p=0.67). Thus, when creating an online c-VEP based BCI system, it is recommended to use multiple random sequences for increased performance.
Original language | English |
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Title of host publication | 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
Number of pages | 4 |
Publisher | IEEE |
Publication date | Aug 2016 |
Pages | 1512-1515 |
DOIs | |
Publication status | Published - Aug 2016 |
Event | Annual International Conference of the Engineering in Medicine and Biology Society - Orlando, United States Duration: 16 Aug 2016 → 20 Aug 2016 Conference number: 38 |
Conference
Conference | Annual International Conference of the Engineering in Medicine and Biology Society |
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Number | 38 |
Country/Territory | United States |
City | Orlando |
Period | 16/08/2016 → 20/08/2016 |