Higher Technical School of Computer Engineering, University of Vigo, Polytechnic Building, Campus Universitario As Lagoas, 32004 Ourense, Spain.
Sensors (Basel). 2012;12(9):12473-88. doi: 10.3390/s120912473. Epub 2012 Sep 13.
The technological advances in medical sensors, low-power microelectronics and miniaturization, wireless communications and networks have enabled the appearance of a new generation of wireless sensor networks: the so-called wireless body area networks (WBAN). These networks can be used for continuous monitoring of vital parameters, movement, and the surrounding environment. The data gathered by these networks contributes to improve users' quality of life and allows the creation of a knowledge database by using learning techniques, useful to infer abnormal behaviour. In this paper we present a wireless body area network architecture to recognize human movement, identify human postures and detect harmful activities in order to prevent risk situations. The WBAN was created using tiny, cheap and low-power nodes with inertial and physiological sensors, strategically placed on the human body. Doing so, in an as ubiquitous as possible way, ensures that its impact on the users' daily actions is minimum. The information collected by these sensors is transmitted to a central server capable of analysing and processing their data. The proposed system creates movement profiles based on the data sent by the WBAN's nodes, and is able to detect in real time any abnormal movement and allows for a monitored rehabilitation of the user.
医疗传感器、低功耗微电子和小型化、无线通信和网络方面的技术进步，催生了新一代的无线传感器网络：所谓的无线体域网（WBAN）。这些网络可用于对重要参数、运动和周围环境进行连续监测。这些网络收集的数据有助于提高用户的生活质量，并通过使用学习技术创建知识库，以推断异常行为。在本文中，我们提出了一种无线体域网架构，用于识别人体运动、识别人体姿势和检测有害活动，以预防危险情况。该 WBAN 使用微小、廉价且低功耗的带有惯性和生理传感器的节点创建，这些节点被战略性地放置在人体上。这样做可以尽可能广泛地确保其对用户日常活动的影响最小化。这些传感器收集的信息被传输到一个中央服务器，该服务器能够分析和处理数据。所提出的系统基于 WBAN 节点发送的数据创建运动档案，并能够实时检测任何异常运动，还允许对用户进行监控康复。
