Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector MachineDaisuke Tajima 1, Tota Mizuno 2, Yuichiro Kume 3, Takako Yoshida 1
1Applied Brain Science Laboratory, Department of Mechanical Sciences and Engineering, Tokyo Institute of Technology, 2Department of Informatics, Graduate School of Informatics and Engineering, The University of Electro-Communications, 3Department of Media and Image Technology, Faculty of Engineering, Tokyo Polytechnic University
This article describes a novel method to estimate proprioceptive drift on a 2D plane using the mirror illusion and combining a psychophysical procedure with an analysis using machine learning.
