Abstract
Recent years, vibrotactile signals have been employed for realistic tactile displays. To evaluate vibrotactile signals themselves, we propose a method to compare classification abilities of these signals from machine learning. By employing support vector machine, our method evaluates about what kind of signals are suitable for classification. In this paper we discuss the difference of classification abilities between sensors, sampling frequencies, rubbing speeds, integrated signals and textures.
