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

Slip-induced fall is one of the main factors causing serious fracture among the elderly. This paper proposes a deep learning based fall risk reduction measures by mobile assistant robots for the elderly. We use a deep convolutional neural network to analyze fall risks. We apply a deep reinforcement learning to control robots and reduce slip-induced fall risks of the elderly. The results suggest that the applicability of our method to other cases of the fall and other cases of accidents.