Detecting expert’s eye using a multiple-kernel Relevance Vector Machine

Detecting expert’s eye using a multiple-kernel Relevance Vector Machine

Decoding mental states from the pattern of neural activity or overt behavior is an intensely pursued goal. Here we applied machine learning to detect expertise from the oculomotor behavior of novice and expert billiard players during free viewing of a filmed billiard match with no specific task, and...

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Bibliographic Details
Main Authors: Giuseppe Boccignone, Mario Ferraro, Sofia Crespi, Carlo Robino, Claudio de’Sperati
Format: Article
Language:English
Published: Bern Open Publishing 2014-04-01
Series:Journal of Eye Movement Research
Subjects:
eye movements
expertise
billiards
mind reading
machine learning
feature fusion
Online Access:https://bop.unibe.ch/JEMR/article/view/2376

Internet

https://bop.unibe.ch/JEMR/article/view/2376

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