dc.contributor.author | Du Plessis, Willem | |
dc.contributor.author | Van Vuuren, Pieter | |
dc.contributor.author | Van Schoor, George | |
dc.date.accessioned | 2017-01-20T12:25:46Z | |
dc.date.available | 2017-01-20T12:25:46Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Du Plessis, W. et al. 2015. Alcohol and the oculomotor neural circuit: system identification, a delay-based approach. International Conference on Systems, Signals and Image Processing (IWSSIP), 10-12 September:261-264. [http://ieeexplore.ieee.org/document/7314226/] | en_US |
dc.identifier.isbn | 978-1-4673-8353-0 | |
dc.identifier.uri | http://hdl.handle.net/10394/19842 | |
dc.identifier.uri | https://ieeexplore.ieee.org/document/7314226/ | |
dc.identifier.uri | https://doi.org/10.1109/IWSSIP.2015.7314226 | |
dc.description.abstract | A fair amount of research has been done on the
modeling of the oculomotor system. Models of the oculomotor
neural circuitry that include the effect of alcohol are less plentiful
in literature. We investigated the correlation between bloodalcohol
levels and the response characteristics of the opticaloculomotor
system. Video recordings of eye movements were
regarded as the main sensor, with a breathalyzer for verification.
System identification was done based on the transfer function of
a proposed delay-based model. The correlation of coefficients of
the model to increasing blood-alcohol concentration was seen to
display behavior that was unique to each test | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Blood-alcohol measurement | en_US |
dc.subject | Image processing | en_US |
dc.subject | Inebriation | en_US |
dc.subject | Intoxication | en_US |
dc.subject | Neural circuitry | en_US |
dc.title | Alcohol and the oculomotor neural circuit: system identification, a delay-based approach | en_US |
dc.type | Presentation | en_US |
dc.contributor.researchID | 10732926 - Van Vuuren, Pieter Andries | |
dc.contributor.researchID | 12134457 - Van Schoor, George | |