at Google ScholarTitle data
Abbott, William W. ; Faisal, A. Aldo:
Using ultra-low cost 3D gaze tracking as an intuitive, non-invasive, high information throughput alternative to BMIs.
In: Frontiers in Computational Neuroscience.
Vol. 6
(2012)
.
ISSN 1662-5188
DOI: https://doi.org/10.3389/conf.fncom.2012.55.00131
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | No |
| Additional notes: | Front. Comput. Neurosci. Conference Abstract |
| Institutions of the University: | Faculties > Faculty of Life Sciences: Food, Nutrition and Health Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften - Univ.-Prof. Dr. Aldo Faisal |
| Result of work at the UBT: | No |
| DDC Subjects: | 600 Technology, medicine, applied sciences |
| Date Deposited: | 11 Oct 2023 10:11 |
| Last Modified: | 11 Oct 2023 10:11 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/87121 |