Research on Recommended Pattern of Electric Nursing-Bed Movement Control

Abstract:

Aim to the weak intelligence and humanity of current electric nursing-bed control modes, the recommended movement control mode is proposed, which is based on the existing manual, timing and speech control pattern. First, on the basis of accumulating some control data, the Affinity Propagation algorithm (AP algorithm) is employed to cluster in order to acquire the clustering centers, which reflect the prefer movement and corresponding value at special time of the special user. Then, according to the mechanical and electric constraints, some rules are established to adjust the clustering centers. And the nursing-bed movement sequence is obtained, which is logical. Finally, the rationality of the recommended movement sequence is analyzed according to the distribution characteristic of the dataset. The movement sequence that passes the rationality analysis will be recommended to the user and automatically saved as the recommended pattern. The experimental results show that the recommended movement sequence can basically reflect the users habits, which is more intelligent and human than other control modes.

• Periodical: Applied Mechanics and Materials (Volumes 333-335)
• Pages: 1239-1246
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.333-335.1239
• Online since: July 2013
• Authors: Ying Chun Zhong, Guo Chen Huang, Rui Sheng Lin, Fang Li
• Keywords: Affinity Propagation Algorithm, Movement Control, Nursing-Bed, Recommended Pattern

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