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Projects

IoT Rapid-Proto Labs is a European transnational project bringing Higher Education Institutions and businesses together to accelerate Internet of Things (IoT) product development. The project will create and implement a multidisciplinary (ICT, Design and Electrical Engineering) course curriculum which is focused on real problem-based activities (innovative IoT product development for SME’s/Start-ups).

SpinRetail is a project coordinated by Spindox Labs for the implementation of a system, hardware and software, which aim is monitoring and analysis of user behavior within retail outlets. IoT technologies and Cloud computing are enabling the design of novel "smart" solution to track people and goods within retail stores, identifying and preventing theft at the point of sale and managing adaptively the supplying and monitoring of shelves.

CRYSTALCLEAR - Evaluating Synchronous Transmission Reliability under WiFi Interference in WiSHFUL

Radio communication remains the primary battery consuming activity in wireless systems. Advances in MAC protocols have enabled significant lifetime improvements, but in systems with low data rate, idle listening, and other communication artifacts can begin to dominate costs. One proposal to combat this is the addition of a second, extremely low power radio component that is always-on.

The goal of the CLIMB project in collaboration with the Municipality of Trento, is enhancing independent and active mobility of children. This goal is pursued by making their mobility safe, social and entertaining, taking advantage from the social network (family, volunteers, school, etc.) and from ICT.  A first trial is currently underway at the school of Meano with a specific focus on the piedibus management.

Design of innvative systems, techniques and solutions for the curbside collection of municipal solid waste

An important driver deriving from the Community strategies (set out in the Waste Framework Directive 2008/98 / EC) links the performance of waste management to the application of the economic instruments for which the waste producer is responsible for; this requirement urges local administrators to apply waste service systems that are commensurate with the actual production by citizens and companies (PAYT - pay as you throw).

Ultra-low power architectures for always-on vision nodes. We are building an energy efficient digital architecture to exploit low-power multi-cores platforms (i.e. programmable PULPv3 platform) in combination with imagers consuming microwatts to enable wireless applications for the Internet of Things, requiring computational power and mobility. In cooperation with other research unit at FBK and external partners.

This project aims to develop an innovative system for rehabilitation of fine movements in PD patients, focusing in particular on micrographia. Recent studies show the positive effect of the use of cueing on writing. Therefore, we want to implement a system based on low-power embedded technologies to be used at home, which allow the user to exercise in writing by receiving appropriate feedback (auditory, visual or vibrotactile) to correct the tendency to start writing small of PD patient or to slow down and even freeze.

"De kracht van het onbewuste leren 2.0" - "The Power of Implicit Motor Learning 2.0" is a RAAK PRO project funded by SIA (Netherlands). Its objective is to improve gait and walking abilities in people with cognitive impairments after stroke by using implicit motor learning strategies and innovative technologies.

Thanks to the experience maturated by people of the group, at the time they were at DEI, University of Bologna, in several EU and National projects (e.g. FP6 SENSACTIONAAL, FP7 SMILING, FP7 CuPiD and RER PERHL) in cooperation with the Bioengineering group led by Prof. Chiari, the E3DA Unit keep invastigating on the use of wireless body area networks, with particular focus on inertial sensing and audio and vibrotactile actuation, in several application domain. We have a strong experience in particular in wireless IMU nodes design, firmware development for embedded sensor fusion (e.g.

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