The design of automatic patients nursing system based on computer vision

DOI

10.2991/amcce-15.2015.205How to use a DOI?

Keywords

computer vision; nursing; patients

Abstract

The design of automatic patients nursing is researched. The behavior of patient have bigger burst and random, and blind spot exists in nursing. The traditional nursing system design method is lack of recognition ability for independent behavior of patient, unable to carry out alarming for patient in sudden situation. For this reason, an automatic patients nursing system design method based on catfish particle swarm optimized neural network algorithm is proposed. The BP neural network model was established, by using particle swarm optimization algorithm to optimize BP neural parameters, and "catfish effect" is introduced to overcome the local optimum defects of particle swarm optimization algorithm, with the specific patient image database to do simulation test for the performance of the algorithm. The simulation results show that, compared with the traditional design method of patient nursing system, CFPOS-BP can obtain better rationality of automatic patient nursing, not only improve the patient image recognition accuracy and efficiency, and solve the optimization problem of BP neural network parameters.

Copyright

© 2015, 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  - CONF
AU  - Ting Zhang
PY  - 2015/04
DA  - 2015/04
TI  - The design of automatic patients nursing system based on computer vision
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 638
EP  - 642
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.205
DO  - 10.2991/amcce-15.2015.205
ID  - Zhang2015/04
ER  -