The University of Electro-Communications 1 article published in JoVE Behavior Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine Daisuke Tajima1, Tota Mizuno2, Yuichiro Kume3, Takako Yoshida1 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.
