Author(s)

YanHua Liu^*, Jian Huang, Feng Su, ZiShen Zeng, ShiYan Luo

Affiliation(s)

School of Art and Design, Guangzhou Institute of Science and Technology, GuangZhou 510440, Guangdong, China.

Corresponding Author

YanHua Liu

ABSTRACT

This study delves into the realms of intelligent perception and advanced driving techniques for medical displacement machines, pivotal in patient care. Despite their significance, these machines often necessitate considerable human involvement and expertise. The development of intelligent perception and driving methods stands to revolutionize patient care and optimize medical outcomes. Our research introduces a holistic strategy, merging artificial intelligence, robotics, and sensor technology, to bolster the autonomy, safety, and efficiency of medical displacement machines. Employing a hybrid methodology of literature review, theoretical analysis, and empirical research, we aim to gain a comprehensive understanding of the application of these methods in medical settings. The research holds profound significance in propelling the evolution of intelligent medical devices and enhancing patient care.

KEYWORDS

Medical displacement machine; Intelligent perception; Driving method; Healthcare enhancement

CITE THIS PAPER

YanHua Liu, Jian Huang, Feng Su, ZiShen Zeng, ShiYan Luo. Intelligent perception and driving method for the assistance promotion mode of a medical displacement machine. Journal of Computer Science and Electrical Engineering. 2024, 6(4): 32-38. DOI: https://doi.org/10.61784/jcsee3024.

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