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Evaluation of pedestrian data collection methods within a simulation framework

Related publications (61)

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Where You Are is Who You Are: User Identification by Matching Statistics

Martin Vetterli, Patrick Thiran, Jayakrishnan Unnikrishnan, Farid Movahedi Naini

Most users of online services have unique behavioral or usage patterns. These behavioral patterns can be used to identify and track users by using only the observed patterns in the behavior. We study the task of identifying users from statistics of their b ...

Institute of Electrical and Electronics Engineers2016

ReGLUation of cGAS

Andrea Ablasser

The detection of cytosolic DNA by the sensor cGAS triggers potent antiviral responses. New data now propose that cGAS is regulated on a post-translational level by glutamylation. ...

Nature Publishing Group2016

Probing the Limits of Social Data

Alexandra Olteanu

Online social data has been hailed to provide unprecedented insights into human phenomena due to its ability to capture human behavior at a scale and level of detail, both in breadth and depth, that is hard to achieve through conventional data collection t ...

EPFL2016

Data Management in Participatory Sensing

Mehdi Riahi

In recent years there has been a proliferation of privately owned sensing devices such as GPS devices, cameras, home weather stations and, more importantly, smart-phones. Most of these devices are either intrinsically mobile, e.g., smart-phones and GPS dev ...

EPFL2015

NoDB: Efficient Query Execution on Raw Data Files

Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Ioannis Alagiannis, Renata Borovica-Gajic

As data collections become larger and larger, users are faced with increasing bottlenecks in their data analysis. More data means more time to prepare and to load the data into the database before executing the desired queries. Many applications already av ...

Assoc Computing Machinery2015

Design modification supporting method based on product usage data in closed-loop PLM

Paul Xirouchakis, Jongho Shin

Thanks to recent technology related to product monitoring and data communication, it is now possible for a company to gather various kinds of product usage data during its operation in a ubiquitous way. However, the application of the newly gathered data i ...

Taylor & Francis Ltd2015

Correcting for endogeneity using the EMIS method: a case study with revealed preference data

Michel Bierlaire, Anna Fernández Antolín

Endogeneity is an important issue that often arises in discrete choice models leading to biased estimates of the parameters. We propose the extended multiple indicator solution (EMIS) methodology to correct for it and exemplify it with a case study using r ...

2015

The DBOX Corpus Collection of Spoken Human-Human and Human-Machine Dialogues

Petr Motlicek, John David Scott Dines

This paper describes the data collection and annotation carried out within the DBOX project ( Eureka project, number E! 7152). This project aims to develop interactive games based on spoken natural language human-computer dialogues, in 3 European languages ...

European Language Resources Association (ELRA)2014

A Bayesian Estimation of Pedestrian Activities using Sensors Data

Antonin Danalet

Pedestrian modeling is a tool for designing and optimizing infrastructures. In particular, walking in transportation hubs such as railway stations and airports is the key for an efficient multimodal transport systems. Data collections are needed in estimat ...

2013

Interaction Mirrors for Face-to-Face Meetings

Flaviu Roman

To be successful, a group requires an appropriate quality of coordination among its members. Even with the advent of remote communication, face-to-face meetings remain the context that offers the best interaction support to an effective collaboration. Howe ...

EPFL2013