| Presentation | 2014-07-11 Methods for Selecting User-Dipendent Parameters in Self-Paced Brain-Computer Interfaces Kaori SUEFUSA, Keita SHIMPO, Toshihisa TANAKA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Brain-computer interfaces (BCIs) control a device by capturing human brain activity. Depending on an operating protocol, BCIs can be categorized into two types: synchronous BCI and asynchronous BCI. In synchronous BCI, a user executes a task when a cue is given by the BCI system. On the contrary, in self-paced (asynchronous) BCI, the timing of operation is dependent on the user, thus a command can be inputted when the user intents to do so. Unlike the previously proposed self-paced BCIs, a method which chooses user-dependent parameters such as the position of electrodes and the time window of analysis is proposed in this paper. The proposed BCI is based on steady-state visual evoked potentials (SSVEPs) responce of the brain to achieve fast and accurate command input. The calibration was performed to choose proper parameters for each user. When using these parameters, we evaluated performance by investigating accuracy and an information transfer rate (ITR). The resluts showed that the proposed self-paced BCI achieved almost the same ITR with a smaller number of electrodes than conventional methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Brain-computer interface / Self-paced BCI / Steady-state visual evoked potential |
| Paper # | CAS2014-34,VLD2014-43,SIP2014-55,MSS2014-34,SIS2014-34 |
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| Committee | SIP |
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| Conference Date | 2014/7/2(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Registration To | Signal Processing (SIP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Methods for Selecting User-Dipendent Parameters in Self-Paced Brain-Computer Interfaces |
| Sub Title (in English) | |
| Keyword(1) | Brain-computer interface |
| Keyword(2) | Self-paced BCI |
| Keyword(3) | Steady-state visual evoked potential |
| 1st Author's Name | Kaori SUEFUSA |
| 1st Author's Affiliation | Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology() |
| 2nd Author's Name | Keita SHIMPO |
| 2nd Author's Affiliation | Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology |
| 3rd Author's Name | Toshihisa TANAKA |
| 3rd Author's Affiliation | Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology |
| Date | 2014-07-11 |
| Paper # | CAS2014-34,VLD2014-43,SIP2014-55,MSS2014-34,SIS2014-34 |
| Volume (vol) | vol.114 |
| Number (no) | 124 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |