Night-Time Monitoring System for Getting-up Action of Older Person Based on Single Camera and Infrared Reflective Sheet

IF 0.8 Q4 ENGINEERING, BIOMEDICAL
MingNan He, Morio Iwai, Takaaki Nishino, Kazuyuki Miura, Reina Watanabe, Koichiro Kobayashi
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Abstract

As the impact of population aging becomes increasingly serious, more problems emerge with regard to medical and long-term care for the older individuals, which require solution. In long-term care, accidental falls frequently occur and are a significant cause of serious injuries and bed confinement due to leg fractures. Older people are especially prone to fall out of bed when they try to get up on their own. To reduce the occurrence of such accidents, one important solution is to detect the getting-up behavior of older individuals and to alert nursing staff to come and check. Although many studies have proposed various solutions such as the use of wearable devices and vision-based sensors, there are many issues in practical application. The complexity of device installation, high initial cost, and maintenance problems have restricted most care facilities to using fall prevention systems with mediocre results, such as pressure pad sensors. In this paper, we propose a fall prevention system based on a single camera (with infrared function) and infrared reflective sheets (IR sheets). The system detects the IR sheets placed on the shoulders of an individual and obtains position data. The relative positions of the IR sheets can be used to identify the state of the person on the bed. To improve the identification ability of the system, we propose to define an identification area. To identify the state more accurately, we propose to establish sub-areas within the identification area. We conducted experiments by recruited 19 subjects. The data of 6 subjects were used to construct the sub-areas. The other 13 subjects participated in testing the ability of the system in identifying the various states of the person in bed. Compared with the performance of other studies, our experimental results demonstrate that our system has a high identification rate, in addition to being low-cost and easy to set up.
基于单摄像头和红外反射片的老年人夜间起床监控系统
随着人口老龄化的影响日益严重,老年人的医疗和长期护理方面出现了更多的问题,需要加以解决。在长期护理中,意外跌倒经常发生,并且是由于腿部骨折造成严重伤害和卧床的重要原因。老年人在试图自己起床时特别容易从床上摔下来。为了减少此类事故的发生,一个重要的解决方案是检测老年人的起床行为,并提醒护理人员前来检查。虽然许多研究提出了使用可穿戴设备和基于视觉的传感器等各种解决方案,但在实际应用中存在许多问题。设备安装的复杂性、高昂的初始成本和维护问题限制了大多数护理机构使用效果一般的防摔系统,例如压力垫传感器。在本文中,我们提出了一种基于单摄像机(具有红外功能)和红外反射片(IR片)的防摔系统。该系统检测放置在个人肩膀上的红外片并获得位置数据。红外床单的相对位置可以用来识别床上的人的状态。为了提高系统的识别能力,我们建议定义一个识别区域。为了更准确地识别状态,我们建议在识别区域内建立子区域。我们招募了19名受试者进行实验。使用6名受试者的数据构建子区。另外13名受试者参与了该系统识别躺在床上的人的各种状态的能力测试。实验结果表明,与其他研究相比,我们的系统具有较高的识别率,并且成本低,易于设置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advanced Biomedical Engineering
Advanced Biomedical Engineering ENGINEERING, BIOMEDICAL-
CiteScore
1.40
自引率
10.00%
发文量
15
审稿时长
15 weeks
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