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

DOI

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 Atlantis Press.

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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TY  - JOUR
AU  - Takaaki Namba
AU  - Yoji Yamada
PY  - 2018
DA  - 2018/03/31
TI  - Fall Risk Reduction for the Elderly by Using Mobile Robots Based on Deep Reinforcement Learning
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 265
EP  - 269
VL  - 4
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2018.4.4.2
DO  - 10.2991/jrnal.2018.4.4.2
ID  - Namba2018
ER  -