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The aim of this paper is to give an overview of WESNEP, an environmental wireless sensor network which is currently being developed at the University of Pavia in order to study alpine permafrost. After a brief introduction on environmental sensor networks and the definition of permafrost, the motivation of WESNEP project and the architecture of the network are described, finally the main benefits...
A system based on wireless sensors for biomechanical and sport applications is presented. It is currently used to study the interaction between athletes and sport surfaces, such as soccer turves and athletic tracks, with special focus on ankle vibrations. Thanks to a Bluetooth connection, the wireless sensors can communicate with a PC, where data are visualized and elaborated in real time. Thus, the...
Among a wide offer of wireless technologies, ZigBee is one of the most actractive for connecting low–volume devices, such as sensors. This paper aims at presenting a project which is being carried on at Microcomputers and Biomedical Devices laboratory (Department of Computer Science, Faculty of Engineering, University of Pavia, Italy). The goal of the project is the development of a prototype of ZigBee...
Monitoring balance and movement has proven useful in many applications ranging from fall risk assessment, to quantifying exercise, studying people habits and monitoring the elderly. Here we present a versatile, wearable instrument capable of providing objective measurements of limb movements for the assessment of motor and balance control abilities. The proposed device allows measuring linear accelerations,...
The aim of this paper is to describe a system whose final goal is to detect if a driver is drowsy, in order to prevent potentially danger situations. The system is based on the processing of the driver's face image, acquired by a web cam installed on the dashboard of the car. After a brief introduction explaining the connection of the present work to the European project REFLECT, the relationship...
A low cost portable acquisition system for monitoring and processing human body segment movements is presented It is equipped with 32 multiplexed input channels, each one linked to an external 2 axis MEMS accelerometer. Input signals from sensors are converted into a digital form by a 10 bit analog to digital converter and transmitted via Bluetooth technology to a remote PC. The instrument is battery...
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