具有模式识别功能的超宽带监测传感器

H. Nakama, R. Nakamura, A. Kajiwara
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引用次数: 0

摘要

随着老龄化社会的到来,养老保障成为许多发达国家面临的一个非常重要的问题。实际上,在护理机构中,当老人试图独自离开床时,摔倒事故经常发生。因此,一种利用超宽带来估计车辆状态和运动的传感器因防止此类事故而受到广泛关注。本文提出了一种基于模式识别的支持向量机(SVM)来准确估计床上运动的算法。本文提出了在一个护理/养老院进行的测量结果关于所提出的算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ultra-wideband monitoring sensor with pattern recognition
Elderly-care support is a very important issue in many developed countries because of the arrival of increasingly aging society. Actually, fall accidents often take place in care facilities when the elderly attempt to leave the bed alone. So, a sensor estimating their state and motion with ultra-wideband are gaining a lot of attention because of preventing those accidents. In this paper, we propose an algorithm to estimate their motion on a bed accurately with support vector machine (SVM) which is one of pattern recognition. This paper presents the measurement results conducted in a care/ nursing home about the effectiveness of the proposed algorithm.
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