Felisberto Filipe, Laza Rosalía, Fdez-Riverola Florentino, Pereira António
Fundação Para a Ciência e a Tecnologia (FCT), Foundation for Science and Technology, 1249-074 Lisbon, Portugal ; Higher Technical School of Computer Engineering, University of Vigo, Polytechnic Building, Campus Universitario As Lagoas s/n, 32004 Ourense, Spain.
Higher Technical School of Computer Engineering, University of Vigo, Polytechnic Building, Campus Universitario As Lagoas s/n, 32004 Ourense, Spain.
Biomed Res Int. 2015;2015:192454. doi: 10.1155/2015/192454. Epub 2015 Mar 22.
In the last years the area of health monitoring has grown significantly, attracting the attention of both academia and commercial sectors. At the same time, the availability of new biomedical sensors and suitable network protocols has led to the appearance of a new generation of wireless sensor networks, the so-called wireless body area networks. Nowadays, these networks are routinely used for continuous monitoring of vital parameters, movement, and the surrounding environment of people, but the large volume of data generated in different locations represents a major obstacle for the appropriate design, development, and deployment of more elaborated intelligent systems. In this context, we present an open and distributed architecture based on a multiagent system for recognizing human movements, identifying human postures, and detecting harmful activities. The proposed system evolved from a single node for fall detection to a multisensor hardware solution capable of identifying unhampered falls and analyzing the users' movement. The experiments carried out contemplate two different scenarios and demonstrate the accuracy of our proposal as a real distributed movement monitoring and accident detection system. Moreover, we also characterize its performance, enabling future analyses and comparisons with similar approaches.
在过去几年中，健康监测领域显著发展，吸引了学术界和商业领域的关注。与此同时，新型生物医学传感器和合适网络协议的出现催生了新一代无线传感器网络，即所谓的无线体域网。如今，这些网络常用于对人们的生命体征参数、运动情况以及周围环境进行持续监测，但是在不同位置产生的大量数据对于更复杂智能系统的合理设计、开发和部署而言是一个主要障碍。在此背景下，我们提出一种基于多智能体系统的开放分布式架构，用于识别人类动作、识别身体姿势以及检测有害活动。所提出的系统从用于跌倒检测的单节点发展成为能够识别无障碍跌倒并分析用户运动的多传感器硬件解决方案。所进行的实验考虑了两种不同场景，并证明了我们的方案作为一种实际分布式运动监测和事故检测系统的准确性。此外，我们还对其性能进行了表征，以便未来能与类似方法进行分析和比较。
