基于机器学习的生命维持机器人服装边界识别系统

Hanqing Zhao, Hidetaka Nambo
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引用次数: 0

摘要

机器学习和图像处理广泛应用于各个领域,如机器人视觉、物体识别、自动驾驶技术等。本文是利用摄像头获取图像信息,结合机器学习的方法,对老年人和部分患者,特别是如厕时的穿衣脱衣服困难进行服装边缘边界的分析和识别。然后,服装边界识别和辅助机器人可以通过识别裤子边缘的位置来改善这些问题,从而确定裤子腰带的位置,并进行穿衣和脱衣服的辅助工作。本研究的最终目标是将其应用于服装穿落装置的系统控制。
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A System of Clothing Boundary Recognition Using Machine Learning For Life Support Robots
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.
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