Fall Risk Reduction for the Elderly by Using Mobile Robots Based on Deep Reinforcement Learning

Authors
Takaaki Namba, Yoji Yamada
Corresponding Author
Takaaki Namba
Available Online 31 March 2018.
DOI
https://doi.org/10.2991/jrnal.2018.4.4.2
Keywords
Safety, risk reduction, mobile robot, deep learning, reinforcement learning.
Abstract
Slip-induced fall is one of the main factors causing serious fracture injuries among the elderly. In this paper, we propose a fall risk reduction measures for the elderly, based on deep reinforcement learning using mobile assistant robots. Our method involves online real-time risk analysis and risk reduction. The results suggest that our method is applicable to the prevention of not only slip-induced fall, but also other factors related to falling and other cases of accidents.

Copyright
© 2018, the Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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