15th Cycle

ENEHRVIT

The flourishing of the Internet of Things (IoT) paradigm has posed impressive new challenges concerning the problem of powering small, wearable or remote electronic devices.In this field, batteries represent the current dominant technology, but their limited power density, their short life, the difficulties and costs required for their replacement, and their significant environmental footprint call […]

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EMoCy – Physiological Signals-Based Stress Detection in Embedded Scenarios

Stress is a psycho-physical condition that has long term social and economic impacts, both on people and on the healthcare system. Continuous stress monitoring can play a key role in improving the quality of life. On one hand, it helps to prevent diseases and enhance efficiency in workplace scenarios, in life-saving jobs and desk-jobs, and

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DRIVE-EN

DRIVE-EN project investigates how the refurbishment of former industrial buildings can act as a driver for territorial regeneration, by taking Olivetti factory as emblematic case-study.The final goal of the project is therefore to define several guidelines of intervention on industrial built heritage, which will possibly become a model for similar works.To get this result, two

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BiGUV – Agricultural waste valorisation process compliant with the circular economy principles

As Fossil resources are becoming a less desirable feedstock for the realization of many products, an alternative bioeconomy transforming renewable resources in valuable products could provide viable solutions to the global challenges posed by environmental, economic and societal sustainability. Globally, about 998 million tonnes of agricultural waste are produced yearly. Moreover, the composition of agricultural

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“PILOT” an AR-based assembly assistant

In partnership with Physik Instrumente (PI) – worldwide leader in the manufacturing of nanopositioning products – the project aimed at investigating the typical industrial applications of augmented reality (AR), virtual reality (VR) and mixed reality (MR), and at identifying the most relevant one for PI, to be implemented in a functional demonstrator. Such prototype was

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ALZGAR – ALZheimer’s GARden

Alzheimer’s disease (AD) is the most frequent form of dementia, hindering independence and memory and causing a progressive withdrawal from family and society. The more the patients are isolated, the faster the disease progresses. Therefore, engaging patients in social activities and encouraging them to build and maintain strong relationships is crucial to preserve their independence

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SEI AI – How AI-Driven humanoid robots can create new business opportunities enhacing the gym experience

The challenge presented in this work was to identify new business applications for a humanoid robot exploiting its empathic capabilities. More specifically, the humanoid robot Pepper was provided by our industry partner, Sprint Reply. According to the vast diffusion of technological devices for the support of people’s physical wellbeing, our team decided to make Pepper

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1SHARE

The present research objective is to develop a human activity recognition (HAR) system by exploiting in-memory computing (IMC) and machine learning technologies. However, while most of the developed HAR systems have been focused on the identification of macro activities, little attention has been addressed to systems with a narrower scope. After analyzing market potential and

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