Concept
Informatique mobile
Publications associées (129)
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 ...
EPFL2024Design and Evaluation of Modular Gas and Wind Sensing Nodes for Static and Mobile Deployments
Alcherio Martinoli, Emmanuel Droz, Wanting Jin
Static and mobile sensor nodes can be employed in gas monitoring tasks to detect gas leaks in an early stage and localize gas sources. Due to the intermittent nature of gas plumes and the slow dynamics of commonly used gas sensors, measuring gas concentrat ...
2024Deplatforming did not decrease Parler users' activity on fringe social media
Robert West, Manoel Horta Ribeiro
Online platforms have banned ("deplatformed") influencers, communities, and even entire websites to reduce content deemed harmful. Deplatformed users often migrate to alternative platforms, which raises concerns about the effectiveness of deplatforming. He ...
OXFORD UNIV PRESS2023Data Privacy Concerns as a Source of Resistance to Complete Mobile Data Collection Tasks Via a Smartphone App
Smartphones present many interesting opportunities for survey research, particularly through the use of mobile data collection applications (apps). There is still much to learn, however, about how to integrate apps in general population surveys. Recent stu ...
OXFORD UNIV PRESS INC2022Smartphone 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 ...
2021Orthos: A Trustworthy AI Framework for Data Acquisition
Boi Faltings, Sujit Prakash Gujar, Dimitrios Chatzopoulos
Information acquisition through crowdsensing with mobile agents is a popular way to collect data, especially in the context of smart cities where the deployment of dedicated data collectors is expensive and ineffective. It requires efficient information el ...
Springer2021Mneme: 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 ...
IEEE2020The Internet of Audio Things: State of the Art, Vision, and Challenges
The Internet of Audio Things (IoAuT) is an emerging research field positioned at the intersection of the Internet of Things, sound and music computing, artificial intelligence, and human-computer interaction. The IoAuT refers to the networks of computing d ...
2020