Concept

Téléphone mobile

Publications associées (313)

Smartphone usage in the wild: a large-scale analysis of applications and context

This paper presents a large-scale analysis of contextualized smartphone usage in real life. We introduce two contextual variables that condition the use of smartphone applications, namely places and social context. Our study shows strong dependencies betwe ...

2011

Fast Speaker Verification on Mobile Phone data using Boosted Slice Classifiers

Sébastien Marcel, Anindya Roy

In this work, we investigate a novel computationally efficient speaker verification (SV) system involving boosted ensembles of simple threshold-based classifiers. The system is based on a novel set of features called “slice features”. Both the system and t ...

2011

People-Centric Mobile Sensing with a Pragmatic Twist: from Behavioral Data Points to Active User Involvement

Daniel Gatica-Perez

Mobile phones have recently been used to collect large-scale continuous data about human behavior. This people centric sensing paradigm is useful not only from a scientific point of view: Contextual user data has pragmatic value, too. Individuals whose dat ...

2011

Mobile phone-induced honeybee worker piping

The worldwide maintenance of the honeybee has major ecological, economic, and political implications. In the present study, electromagnetic waves originating from mobile phones were tested for potential effects on honeybee behavior. Mobile phone handsets w ...

Springer-Verlag2011

ACCOP: Adaptive Cost-Constrained and Delay-Optimized Data Allocation over Parallel Opportunistic Networks

Hamza Harkous

As wireless and mobile technologies are becoming increasingly pervasive, an uninterrupted connectivity in mobile devices is becoming a necessity rather than a luxury. When dealing with challenged networking environments, this necessity becomes harder to ac ...

2011

ACCOP: Adaptive Cost-Constrained and Delay- Optimized Data Allocation over Parallel Opportunistic Networks

Hamza Harkous

2011

A Regularization Framework for Mobile Social Network Analysis

Pascal Frossard, Pierre Vandergheynst, Xiaowen Dong

Mobile phone data provides rich dynamic information on human activities in social network analysis. In this paper, we represent data from two different modalities as a graph and functions defined on the vertex set of the graph. We propose a regularization ...

2011

Activity Recognition in Opportunistic Sensor Environments

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Hesam Sagha, Hamidreza Bayati, Daniel Roggen

OPPORTUNITY is project under the EU FET-Open funding1 in which we develop mobile systems to recognize human activity in dynamically varying sensor setups. The system autonomously discovers available sensors around the user and self-configures to recognize ...

2011

Contextual grouping: discovering real-life interaction types from longitudinal Bluetooth data

Daniel Gatica-Perez

By exploiting built-in sensors, mobile smartphone have become attractive options for large-scale sensing of human behavior as well as social interaction. In this paper, we present a new probabilistic model to analyze longitudinal dynamic social networks cr ...

2011

A Probabilistic Approach to Socio-Geographic Reality Mining

Katayoun Farrahi

As we live our daily lives, our surroundings know about it. Our surroundings consist of people, but also our electronic devices. Our mobile phones, for example, continuously sense our movements and interactions. This socio-geographic data could be continuo ...

EPFL2011

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