Publications associées à Informatique ubiquitaire

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

A range of behavioral and contextual factors, including eating and drinking behavior, mood, social context, and other daily activities, can significantly impact an individual's quality of life and overall well-being. Therefore, inferring everyday life aspe ...

EPFL2024

Photonic radar for contactless vital sign detection

Yang Liu

Vital sign detection is used across ubiquitous scenarios in medical and health settings, and contact and wearable sensors have been widely deployed. However, they are unsuitable for patients with burn wounds or infants with insufficient areas for attachmen ...

Nature Publishing Group2023

Multi-antenna 3D pattern design for millimeter-wave vehicular communications

German Augusto Ramirez Arroyave

The transformation of the automotive industry towards ubiquitous connection of vehicles with all kind of external agents (V2X) motivates the use of a wide range of frequencies for several applications. Millimeter-wave (mmWave) connectivity represents a par ...

2022

In-Memory Hardware and Architectural Extensions for Workloads Acceleration

William Andrew Simon

Utilization of edge devices has exploded in the last decade, with such use cases as wearable devices, autonomous driving, and smart homes. As their ubiquity grows, so do expectations of their capabilities. Simultaneously, their formfactor and use cases lim ...

EPFL2022

Smartphone Sensing for the Well-being of Young Adults: A Review

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

Over the years, mobile phones have become versatile devices with a multitude of capabilities due to the plethora of embedded sensors that enable them to capture rich data unobtrusively. In a world where people are more conscious regarding their health and ...

2021

Common workflows for computing material properties using different quantum engines

Berend Smit, Nicola Marzari, Giovanni Pizzi, Martin Uhrin, Marnik Bercx, Austin Jacob Zadoks, Kristjan Eimre, Samuel Poncé, Aliaksandr Yakutovich, Sebastiaan Philippe Huber, Christopher John Sewell, Conrad Johnston, Gian-Marco Rignanese

The prediction of material properties based on density-functional theory has become routinely common, thanks, in part, to the steady increase in the number and robustness of available simulation packages. This plurality of codes and methods is both a boon ...

2021

Analysis system and method for analysing the movement of a portion of the body and/or of a human prosthesis

Silvestro Micera, Andrea Crema, Fiorenzo Artoni

An analysis method (200) for analysing the pressure exerted by a portion of the body and/or of a human prosthesis comprises the following steps: sampling data generated by the portion of the body and/or the human prosthesis during a threshold calibration p ...

2021

LIGHTBLUE: Automatic Profile-Aware Debloating of Bluetooth Stacks

Mathias Josef Payer, Daniele Antonioli, Duo Xu

The Bluetooth standard is ubiquitously supported by computers, smartphones, and IoT devices. Due to its complexity, implementations require large codebases, which are prone to security vulnerabilities, such as the recently discovered BlueBorne and BadBluet ...

USENIX ASSOC2021

Protecting Mobile Food Diaries from Getting too Personal

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

Smartphone applications that use passive sensing to support human health and well-being primarily rely on: (a) generating low-dimensional representations from high-dimensional data streams; (b) making inferences regarding user behavior; and (c) using those ...

Association for Computing Machinery2020

Mneme: A Mobile Distributed Ledger

Boi Faltings, Sujit Prakash Gujar, Dimitrios Chatzopoulos

Advances in mobile computing have paved the way for new types of distributed applications that can be executed solely by mobile devices on device-to-device (D2D) ecosystems (e.g., crowdsensing). More sophisticated applications, like cryptocurrencies, need ...

IEEE2020

Toward ultra-low power design methodology for frequency generation in the IoT design space

Mathieu Yves Hervé Coustans

Today, the semiconductor industry is feeding our digital world with more and more data coming from compact embedded electronics that are monitoring our environment and feeding analytics for action. Interaction with our digital world is mostly achieved thro ...

EPFL2019

FOLDAWAY DroneSense, a controller for haptic information encoding for drone pilots

Jamie Paik, Stefano Mintchev, Marco Salerno

Over the last decade, the number of drones has significantly increased. In parallel, researchers have started to investigate new human-drone interaction paradigms for a more natural and immersive piloting experience. The use of haptic feedback to establish ...

2019

Discovering Eating Routines in Context with a Smartphone App

Daniel Gatica-Perez, Joan Isaac Biel Tres

In everyday life, eating follows patterns and occurs in context. We present an approach to discover daily eating routines of a population following a multidimensional representation of eating episodes, using data collected with the Bites'n'Bits smartphone ...

ASSOC COMPUTING MACHINERY2019

The Future of Electronics: Silicon to Cloud Technologies

Mihai Adrian Ionescu

We will present and discuss some of the great research challenges and opportunities related to 21st century energy efficient computing and sensing devices and systems, in the context of the Internet of Things (IoT) revolution. In the future, major innovati ...

IEEE2018

Monitoring for awareness and reflection in ubiquitous learning environments

Maria Jesus Rodriguez Triana

Despite the educational affordances that ubiquitous learning has shown, it is still hampered by several orchestration difficulties. One of these difficulties is that teachers lose awareness of what the students perform across the multiple technologies and ...

2018

Cellulo: Versatile Handheld Robots for Education

Pierre Dillenbourg, Francesco Mondada, Wafa Monia Benkaouar Johal, Léa Marie Pereyre, Ayberk Özgür, Séverin Lemaignan, Manon Aline Briod, Maria Maria Beltran Reyes

In this article, we present Cellulo, a novel robotic platform that investigates the intersection of three ideas for robotics in education: designing the robots to be versatile and generic tools; blending robots into the classroom by designing them to be pe ...

ACM2017

Windfield: Learning Wind Meteorology with Handheld Haptic Robots

Pierre Dillenbourg, Francesco Mondada, Wafa Monia Benkaouar Johal, Ayberk Özgür

This article presents a learning activity and its user study involving the Cellulo platform, a novel versatile robotic tool designed for education. In order to show the potential of Cellulo in the classroom as part of standard curricular activities, we des ...

ACM2017

Haptic-Enabled Handheld Mobile Robots: Design and Analysis

Pierre Dillenbourg, Francesco Mondada, Wafa Monia Benkaouar Johal, Ayberk Özgür

The Cellulo robots are small tangible robots that are designed to represent virtual interactive point-like objects that reside on a plane within carefully designed learning activities. In the context of these activities, our robots not only display autonom ...

ACM2017

Combining Structural and Timing Errors in Overclocked Inexact Speculative Adders

Christian Enz, Vincent Frédéric Camus, Mattia Cacciotti, Yu Jiang, Xun Jiao

Worst-case design is used in IoT devices and high performance data centers to ensure reliability, leading to a power efficiency loss. Recently, approximate computing has been proposed to trade off accuracy for efficiency. In this paper, we use Inexact Spec ...

Ieee2017

Windfield: Demonstrating Wind Meteorology with Handheld Haptic Robots

Pierre Dillenbourg, Francesco Mondada, Wafa Monia Benkaouar Johal, Ayberk Özgür

One of the main issues with the acceptance of robotic tools in schools is the extracurricular aspect of the learning activities using these robots. In the Cellulo project, we developed a novel robotic platform that aims to provide a ubiquitous, versatile a ...

ACM2017