GS5-1 Intention Classiﬁcation of a User of a Walking Assist Cart by Using Support Vector Machine

Title:	GS5-1 Intention Classiﬁcation of a User of a Walking Assist Cart by Using Support Vector Machine
Publication:	ICAROB2020
Volume:	25
Pages:	466-468
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2020.GS5-1
Author(s):	Noritaka Sato, Tomoki Yokotani, Yoshifumi Morita
Publication Date:	January 13, 2020
Keywords:	Walking assist cart, Support Vector Machine, Intention classification, Artificial Intelligence
Abstract:	To develop better assist function for a walking assist cart, we focused on the prediction of the intention of a user. As the first step of the research, the forces and torques to the cart from the user's hands, and the rotational velocities of the wheels are sensing. And the Support Vector Machine is used for intention classification. As a result, we confirmed that our method was able to predict the intention of the user with enough accuracy.
PDF File:	https://alife-robotics.co.jp/members2020/icarob/data/html/data/GS/GS5/GS5-1.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/