BCI Report Research preview12-target SSVEP, dry and wet electrodes
An open wearable SSVEP dataset: 8-channel EEG from 102 healthy participants performing a cue-guided 12-target SSVEP task (9.25–14.75 Hz), recorded with wet and with dry electrodes, 10 consecutive blocks each. Participants were recruited through the BCI Brain-Controlled Robot Contest at the 2020 World Robot Contest. Released by Zhu et al. in Sensors (2021), with data on figshare.
Also known as Wearable SSVEP BCI Dataset · An Open Dataset for Wearable SSVEP-Based Brain-Computer Interfaces · figshare 13560281 · Zhu et al. (2021)
Description sources figshare.com · pmc.ncbi.nlm.nih.gov · doi.org · bci.med.tsinghua.edu.cn
Every figure below is copied from a reviewed download, not recomputed for this page. Read each group with its protocol on the linked page.
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| Uniform randomreference or comparator, not a decoding model | Wet recording · no source training | Balanced accuracy | 8.6%8.1%–9.1% | 102 |
| Uniform randomreference or comparator, not a decoding model | Dry recording · no source training | Balanced accuracy | 8.1%7.6%–8.6% | 102 |
| Same-frequency powerreference or comparator, not a decoding model | Wet recording · no source training | Balanced accuracy | 39.8%35.4%–44.3% | 102 |
| Same-frequency powerreference or comparator, not a decoding model | Dry recording · no source training | Balanced accuracy | 36.0%31.8%–40.2% | 102 |
| CCA | Wet recording · no source training | Balanced accuracy | 81.6%77.7%–85.1% | 102 |
| CCA | Dry recording · no source training | Balanced accuracy | 65.5%60.6%–70.2% | 102 |
| FBCCA | Wet recording · no source training | Balanced accuracy | 82.3%78.7%–85.7% | 102 |
| FBCCA | Dry recording · no source training | Balanced accuracy | 64.6%59.5%–69.6% | 102 |
| Spectral ridge | Trained on wet, tested on wet | Balanced accuracy | 40.3%36.5%–44.3% | 102 |
| Spectral ridge | Trained on wet, tested on dry | Balanced accuracy | 35.2%31.8%–38.8% | 102 |
| Spectral ridge | Trained on dry, tested on dry | Balanced accuracy | 37.2%33.5%–41.0% | 102 |
| Spectral ridge | Trained on dry, tested on wet | Balanced accuracy | 39.7%35.9%–43.6% | 102 |
| EEGNet | Trained on wet, tested on wet | Balanced accuracy | 75.0%70.3%–79.5% | 102 |
| EEGNet | Trained on wet, tested on dry | Balanced accuracy | 45.6%40.5%–50.8% | 102 |
| EEGNet | Trained on dry, tested on wet | Balanced accuracy | 64.0%59.1%–68.8% | 102 |
| EEGNet | Trained on dry, tested on dry | Balanced accuracy | 56.8%51.9%–61.6% | 102 |
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| Spectral ridge | Source-only, trained on wet, tested on wet | Balanced accuracy | 39.2%35.4%–43.0% | 102 |
| Spectral ridge | Source-only, trained on wet, tested on dry | Balanced accuracy | 35.4%32.0%–39.0% | 102 |
| Spectral ridge | Source-only, trained on dry, tested on wet | Balanced accuracy | 39.0%35.2%–42.9% | 102 |
| Spectral ridge | Source-only, trained on dry, tested on dry | Balanced accuracy | 37.2%33.6%–40.9% | 102 |
| Spectral ridge | 12 calibration trials · wet | Balanced accuracy | 15.3%13.7%–17.1% | 102 |
| Spectral ridge | 24 calibration trials · wet | Balanced accuracy | 18.2%15.9%–20.7% | 102 |
| Spectral ridge | 48 calibration trials · wet | Balanced accuracy | 21.3%18.3%–24.5% | 102 |
| Spectral ridge | 12 calibration trials · dry | Balanced accuracy | 15.0%13.6%–16.5% | 102 |
| Spectral ridge | 24 calibration trials · dry | Balanced accuracy | 18.3%16.3%–20.7% | 102 |
| Spectral ridge | 48 calibration trials · dry | Balanced accuracy | 21.8%19.3%–24.5% | 102 |
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| CCA | No calibration · dry | Balanced accuracy | 65.1%60.0%–70.0% | 102 |
| CCA | No calibration · wet | Balanced accuracy | 81.1%77.2%–84.8% | 102 |
| Single-band eTRCA | 24 calibration trials · dry | Balanced accuracy | 12.4%10.4%–15.0% | 102 |
| Single-band eTRCA | 24 calibration trials · wet | Balanced accuracy | 39.8%34.1%–45.8% | 102 |
| Single-band eTRCA | 48 calibration trials · dry | Balanced accuracy | 15.1%12.6%–18.2% | 102 |
| Single-band eTRCA | 48 calibration trials · wet | Balanced accuracy | 64.0%57.1%–70.7% | 102 |
Credit Zhu, F., Jiang, L., Dong, G., Gao, X., & Wang, Y. (2021). An Open Dataset for Wearable SSVEP-Based Brain-Computer Interfaces (Version 4) [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.13560281.v4
CC BY 4.0 · Dataset record ↗ · doi.org ↗
BCI Report does not redistribute any recording. These are aggregate measurements computed by BCI Report under the licence above; the data belong to the people credited.