A study on Therapy Robot to estimate human emotion based on touching motion

本研究的目的是通过触摸宠物型机器人的人的运动来估计情感。在机器人上实现了一个由多个弯曲传感器和电容传感器组成的触摸传感器来测量手部的触摸运动。通过使用开发的情感估计技术，使用自组织映射或感知器学习算法，人类触摸运动，如打，推，爱抚和颤抖，区分和二维地图上。

This research aims to estimate emotion through the motion of the human that touches a pet type robot. A touch sensor combined with several bending sensors and capacitance sensors is implemented on the robot to measure the touching motion of the hands. By using the developed emotion estimating technique using Self-Organization Map or perceptron learning algorithm, human touching motion such as hitting, pushing, caressing and trembling, is distinguished and presented on a two dimensional map .