| dc.contributor.author | Armengol-Urpi, Alexandre | |
| dc.contributor.author | Salazar-Gomez, Andres F. | |
| dc.contributor.author | Sarma, Sanjay E. | |
| dc.date.accessioned | 2022-11-15T19:15:28Z | |
| dc.date.available | 2022-11-15T19:15:28Z | |
| dc.date.issued | 2022-03-22 | |
| dc.identifier.isbn | 978-1-4503-9144-3 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/146481 | |
| dc.publisher | ACM|27th International Conference on Intelligent User Interfaces | en_US |
| dc.relation.isversionof | https://doi.org/10.1145/3490099.3511151 | en_US |
| dc.rights | Creative Commons Attribution 4.0 International license | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | ACM|27th International Conference on Intelligent User Interfaces | en_US |
| dc.title | Brainwave-Augmented Eye Tracker: High-Frequency SSVEPs Improves Camera-Based Eye Tracking Accuracy | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Armengol-Urpi, Alexandre, Salazar-G?mez, Andr?s F. and Sarma, Sanjay E. 2022. "Brainwave-Augmented Eye Tracker: High-Frequency SSVEPs Improves Camera-Based Eye Tracking Accuracy." | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | |
| dc.contributor.department | MIT Open Learning | |
| dc.identifier.mitlicense | PUBLISHER_CC | |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2022-11-03T12:37:26Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The author(s) | |
| dspace.date.submission | 2022-11-03T12:37:27Z | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
