On the necessity of adaptive eye movement classification in conditionally automated driving scenarios
Author:
Affiliation:
1. Camera Systems, Daimler AG, Germany
2. University of Tübingen, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2857491.2857529
Reference22 articles.
1. Banerjee A. Datta S. Konar A. Tibarewala D. and Ramadoss J. 2014. Cognitive activity recognition based on electrooculogram analysis. In Advanced Computing Networking and Informatics-Volume 1. Springer 637--644. Banerjee A. Datta S. Konar A. Tibarewala D. and Ramadoss J. 2014. Cognitive activity recognition based on electrooculogram analysis. In Advanced Computing Networking and Informatics-Volume 1 . Springer 637--644.
2. Electro-Oculographic Guidance of a Wheelchair Using Eye Movements Codification
3. Driver-Activity Recognition in the Context of Conditionally Autonomous Driving
4. Eye Movement Analysis for Activity Recognition Using Electrooculography
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