Tactile texture recognition using convolutional neural networks for time-series data of pressure and 6-axis acceleration sensor

Tactile texture is an important factor to determine to impression of an object. To measure a feeling of an object, a numerical evaluation method for tactile texture is required. In this paper, we propose a novel recognition method for tactile texture using deep convolutional neural networks. In proposed framework, the tactile texture information is obtained by analyzing a time-series data of a pressure sensor and 6-axis acceleration sensor. Thus, the system configuration is simple, and it is possible to construct the system inexpensively.