# SSVEP-020: How many people could use an SSVEP BCI?

> Generated from a local paper card. Do not edit this page directly; edit the source card and rerun `vp run docs:generate`.

> Internal wiki boundary: paper-card evidence and user-provided PDF downloads are available for private reading. Extracted full-paper text is not published.

> Source: `library/paper_cards/SSVEP-020.md`

## Paper Access

* Internal PDF: <a href={"/papers/SSVEP-020.pdf"} download style={{ display: "inline-flex", alignItems: "center", justifyContent: "center", minHeight: "2.25rem", padding: "0.45rem 0.8rem", borderRadius: "6px", backgroundColor: "#047857", color: "#ffffff", fontWeight: 700, lineHeight: 1, textDecoration: "none", boxShadow: "0 1px 2px rgba(15, 23, 42, 0.22)" }}>Download Paper</a>
* DOI / official page: [10.3389/fnins.2012.00169](https://doi.org/10.3389/fnins.2012.00169)
* Open-access page: [Open access page](https://www.frontiersin.org/articles/10.3389/fnins.2012.00169/full)
* Deployment boundary: these PDF links are intended only for a private/protected internal wiki.

## SSVEP-020: How many people could use an SSVEP BCI?

## Metadata

* ID: SSVEP-020
* Title: How many people could use an SSVEP BCI?
* Year: 2012
* DOI / URL: 10.3389/fnins.2012.00169
* Local PDF: see Paper Access section above
* Text artifact: local-only path withheld from docs site
* Review status: `extracted`

## Study Type

* Track: SSVEP
* Task: assess how many users can operate an SSVEP BCI
* Participants or dataset: 53 subjects
* Device/electrode setup: eight recording sites are shown in local text; exact montage should be verified from methods
* Protocol/task: subjects focused on one of four LEDs across 1-4 runs, each 4 min long

## Methods

* Signal processing or analysis: SSVEP classification; exact classifier needs detailed extraction
* Training/calibration: very short training period
* Online/offline: group usability experiment

## Key Results

* Grand average accuracy was 95.5%.
* About 96.2% of subjects reached accuracy above 80%, and no subject was below 60%.

## Limitations

* Four-LED task is much simpler than a crowded dynamic object-selection interface.
* Usability results may depend on visual comfort, target layout, and LED stimulus hardware.
* Does not address robotic grasping or shared autonomy.

## Relevance To Current Review

* Strong source for SSVEP population usability compared with MI inefficiency discussions.
* Useful for arguing why SSVEP is the primary high-reliability discrete selection channel.

## Evidence Status

| Claim | Status | Evidence Note |
| --- | --- | --- |
| A 53-subject SSVEP study reported high average accuracy and high user coverage. | verified | Abstract reports 95.5% average accuracy and 96.2% above 80%. |
| SSVEP can require less training than MI in some BCI settings. | inferred | Local text contrasts SSVEP/P300 attention tasks with MI training burden. |
| These results guarantee usability in dynamic SAH-BRI-Grasp. | needs confirmation | Only a four-LED synchronous task was studied. |

## Open Questions

* Extract the exact electrode montage and classifier before using this as a system-design benchmark.
* Should Exp1 report "users above 80%" alongside mean accuracy?
