Research on rehabilitation training bed with action prediction based on NARX neural network

Author:

Liu Zhong12,Wang Xin'an1ORCID,Su Mingliang1,Le Leon3

Affiliation:

1. Key Laboratory of Integrated Micro‐System Science and Engineering ApplicationsPeking University Shenzhen Graduate School Shenzhen China

2. School of Electronics Engineering and Computer SciencePeking University Beijing China

3. Department of MicroelectronicsiFutureLab Inc San Francisco USA

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Reference26 articles.

1. Family transfers and long-term care: An analysis of the WHO Study on global AGEing and adult health (SAGE)

2. Vitamin D and risk of cognitive decline in elderly persons;Fellowship M;Arch Intern Med,2017

3. The influence of early rehabilitation training for the elderly function recovery after Total hip replacement;Long GZ;Guide of China Med,2009

4. ZhangY WangZ JiL et al. The clinical application of the upper extremity compound movements rehabilitation training robot. International Conference on Rehabilitation Robotics. IEEE;2005; 91‐94.

5. KataokaH MiyashitaY HayashiM et al. Recognition of transitional action for short‐term action prediction using discriminative temporal CNN feature. British Machine Vision Conference;2016.

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