A System of Clothing Boundary Recognition Using Machine Learning For Life Support Robots

被引：0

作者：

Zhao, Hanqing ^{[1
]}

Nambo, Hidetaka ^{[1
]}

机构：

[1] Kanazawa Univ, Grad Sch Nat Sci & Technol, Artificial Intelligence Lab, Elect Engn & Comp Sci, Kanazawa, Ishikawa, Japan

来源：

2020 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATICS AND BIOMEDICAL SCIENCES (ICIIBMS 2020) | 2020年

关键词：

machine learning; imageprocessing; assistive robots;

D O I：

10.1109/ICIIBMS50712.2020.9336200

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Machine learning and image processing are widely used in various fields, such as, robot vision, object recognition, and automated driving technology. This paper is, the use of cameras to acquire image information, and machine learning methods to analyze and identify the edge boundaries of clothes in the Difficulty in putting on and taking off clothes in the elderly and some patients, especially when going to the toilet. Then, clothing boundary recognition and assistive robots can ameliorate these problems by distinguishing where the edges of the pants are so that they can Determine the position of the waistband of the trousers, and perform dressing and undressing assistance work. The ultimate goal of this research is to be able to apply it to the system control of the clothing donning and doffing device.

引用

页码：1 / 7

页数：7

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