Authors
Noritaka Sato*, Tomoki Yokotani, Yoshifumi Morita
Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Gokiso-cho, Syowa-ku, Nagoya, Aichi 466-8555, Japan
*Corresponding author. Email: [email protected]
Corresponding Author
Noritaka Sato
Received 10 November 2019, Accepted 20 February 2020, Available Online 14 May 2020.
DOI
https://doi.org/10.2991/jrnal.k.200512.006How to use a DOI?
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.
Copyright
© 2020 The Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).