Abstract
A dry-electrode head-mounted sensor for visually-evoked electroencephalogram (EEG) signals has been introduced to the gamer market, and provides wireless, low-cost tracking of a user's gaze fixation on target areas in real-Time. Unlike traditional EEG sensors, this new device is easy to set up for non-professionals. We conducted a Fitts' law study (N = 6) and found the mean throughput (TP) to be 0.82 bits/s. The sensor yielded robust performance with error rates below 1%. The overall median activation time (AT) was 2.35 s with a minuscule difference between one or nine concurrent targets. We discuss whether the method might supplement camera-based gaze interaction, for example, in gaze typing or wheelchair control, and note some limitations, such as a slow AT, the difficulty of calibration with thick hair, and the limit of 10 concurrent targets.
Original language | English |
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Title of host publication | Proceedings of 2022 ACM Symposium on Eye Tracking Research and Applications |
Editors | Stephen N. Spencer |
Publisher | Association for Computing Machinery |
Publication date | 8 Jun 2022 |
Article number | 62 |
ISBN (Electronic) | 978-1-4503-9252-5 |
DOIs | |
Publication status | Published - 8 Jun 2022 |
Event | 2022 ACM Symposium on Eye Tracking Research and Applications - Seattle Children’s Building Cure, Seattle, United States Duration: 8 Jun 2022 → 11 Jun 2022 https://etra.acm.org/2022/ |
Conference
Conference | 2022 ACM Symposium on Eye Tracking Research and Applications |
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Location | Seattle Children’s Building Cure |
Country/Territory | United States |
City | Seattle |
Period | 08/06/2022 → 11/06/2022 |
Internet address |
Keywords
- accessibility
- Augmentative and alternative communication
- Brain-computer interface (BCI)
- Fitts' law
- Gaze interaction
- Hybrid BCI
- SSVEP