Volume 7, Issue 1, June 2020, Pages 27 - 29
Intention Classification of a User of a Walking Assist Cart by using Support Vector Machine
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@example.com
Received 10 November 2019, Accepted 20 February 2020, Available Online 14 May 2020.
- 10.2991/jrnal.k.200512.006How to use a DOI?
- Walking assist cart; support vector machine; intention classification; artificial intelligence
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.
- © 2020 The Authors. Published by Atlantis Press SARL.
- 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/).
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TY - JOUR AU - Noritaka Sato AU - Tomoki Yokotani AU - Yoshifumi Morita PY - 2020 DA - 2020/05/14 TI - Intention Classification of a User of a Walking Assist Cart by using Support Vector Machine JO - Journal of Robotics, Networking and Artificial Life SP - 27 EP - 29 VL - 7 IS - 1 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.200512.006 DO - 10.2991/jrnal.k.200512.006 ID - Sato2020 ER -