Authors
Takaaki Namba, Yoji Yamada
Corresponding Author
Takaaki Namba
Available Online 31 March 2018.
DOI
https://doi.org/10.2991/jrnal.2018.4.4.2How to use a DOI?
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/).