Publication

The Places of Our Lives: Visiting Patterns and Automatic Labeling from Longitudinal Smartphone Data

Publications associées (35)

Probabilistic multimodal map-matching with rich smartphone data

This paper proposes a probabilistic method that infers the transport modes and the physical path of trips from smartphone data that were recorded during travels. This method synthesizes multiple kinds of data from smartphone sensors which provide relevant ...

2012

ConDense: Managing Data in Community-driven Mobile Geosensor Networks

Karl Aberer, Dipanjan Chakraborty, Saket Sathe, Sebastian Cartier

Effectively managing the data generated by community-driven mobile geo-sensor networks is a new and challenging problem. One important step for managing and querying sensor network data is to create abstractions of the data in the form of models. These mod ...

2012

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

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

Daniel Gatica-Perez

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

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

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

Modeling Route Choice Behavior From Smartphone GPS data

Michel Bierlaire, Jingmin Chen, Jeffrey Newman

Smartphones have the capability of recording various kinds of data from built-in sensors such as GPS in a non-intrusive, systematic way. In order to be used as observations for route choice models, the discrete sequences of GPS data need to be associated w ...

2010

Inferring the activities of smartphone users from context measurements using Bayesian inference and random utility models

Michel Bierlaire, Gunnar Flötteröd, Ricardo Daniel Hurtubia González

Abstract Smartphones collect a wealth of information about their users' environment and activities. This includes GPS (global positioning system) tracks and the MAC (media access control) addresses of devices around the user, and it can go as far as taking ...

2009

Inferring activities from context measurements using Bayesian inference and random utility models

Michel Bierlaire, Gunnar Flötteröd, Ricardo Daniel Hurtubia González

Smartphones collect a wealth of information about their users. This includes GPS tracks and the MAC addresses of devices around the user, and it can go as far as taking visual and acoustic samples of the user's environment. We present a framework to identi ...

2009

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