A multi-user assistive system for the user safety monitoring in care facilities

2015 IEEE International Workshop on Measurements & Networking (M&N) Pub Date : 2015-11-12 DOI:10.1109/IWMN.2015.7322983

B. Andò, S. Baglio, C. O. Lombardo, V. Marletta

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引用次数: 8

Abstract

This paper deals with the development of a multiuser assistive system for the monitoring of elders and people with neurological pathologies (e.g. Alzheimer) during their staying in social care or health facilities. The system adopts wearable devices to monitor the dynamics of the users and a dedicated wireless network for communication. The wearable device is able to recognize critical events like falls or prolonged inactivity, to monitor the user posture and to send an alarm to a centralized monitoring system which will broadcast the alarm to caregivers alert devices. The paper focuses on the smart algorithms developed for the classification of the ADL (Activities of Daily Living) which use the information from the inertial sensors installed on the user device. In particular a novel, with respect to the State Of The Art, multi-sensor data fusion approach, combining data from the onboard accelerometer and the gyroscope is presented. Apart from alerts management, the information provided by this system is useful to track the evolution of the user pathology, also during rehabilitation tasks.

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一种用于护理设施中用户安全监控的多用户辅助系统

本文讨论了一种多用户辅助系统的开发，用于监测老年人和患有神经系统疾病(例如阿尔茨海默病)的人在社会护理或卫生设施中的停留。该系统采用可穿戴设备监控用户动态，并采用专用无线网络进行通信。这种可穿戴设备能够识别摔倒或长时间不活动等关键事件，监测用户的姿势，并向集中监控系统发送警报，该系统将向护理人员警报设备广播警报。本文重点研究了利用安装在用户设备上的惯性传感器信息开发的ADL(日常生活活动)分类智能算法。特别提出了一种结合机载加速度计和陀螺仪数据的新型多传感器数据融合方法。除了警报管理之外，该系统提供的信息对跟踪用户病理的演变也很有用，在康复任务期间也是如此。

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

2015 IEEE International Workshop on Measurements & Networking (M&N)

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