Publications related to Japanese mobile phone culture

Discovering Human Routines from Cell Phone Data with Topic Models

We present a framework to automatically discover people's routines from information extracted by cell phones. The framework is built from a probabilistic topic model learned on novel bag type representations of activity-related cues (location, proximity an ...

IDIAP2008

What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data

Daniel Gatica-Perez, Katayoun Farrahi

We present a framework built from two Hierarchical Bayesian topic models to discover human location-driven routines from mobile phones. The framework uses location-driven bag representations of people's daily activities obtained from celltower connections. ...

2008

What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data

Daniel Gatica-Perez, Katayoun Farrahi

We present a framework built from two Hierarchical Bayesian topic models to discover human location-driven routines from mobile phones. The framework uses location-driven bag representations of people's daily activities obtained from celltower connections. ...

IDIAP2008

Features extraction for low-power face verification

Patrick Stadelmann

Mobile communication devices now available on the market, such as so-called smartphones, are far more advanced than the first cellular phones that became very popular one decade ago. In addition to their historical purpose, namely enabling wireless vocal c ...

University of Neuchâtel2008

Daily Routine Classification from Mobile Phone Data

Daniel Gatica-Perez, Katayoun Farrahi

The automatic analysis of real-life, long-term behavior and dynamics of individuals and groups from mobile sensor data constitutes an emerging and challenging domain. We present a framework to classify people's daily routines (defined by day type, and by g ...

2008

Hybrid DHT Design for Mobile Environments

Simon Schubert, Zoran Despotovic

In this paper we present a hybrid design concept for Distributed Hash Tables (DHTs), in order to increase the performance of DHTs in scenarios with mobile participants. By defining two classes of nodes (static and temporary) and assigning critical overlay ...

Springer-Verlag2008

Daily Routine Classification from Mobile Phone Data

Daniel Gatica-Perez, Katayoun Farrahi

The automatic analysis of real-life, long-term behavior and dynamics of individuals and groups from mobile sensor data constitutes an emerging and challenging domain. We present a framework to classify people's daily routines (defined by day type, and by g ...

IDIAP2007

GEO-RBAC: A spatially aware RBAC

Maria Luisa Damiani

Securing access to data in location- based services and mobile applications requires the definition of spatially aware access- control systems. Even if some approaches have already been proposed either in the context of geographic database systems or conte ...

2007

Intimate Interfaces in Action: Assessing the Usability and Subtlety of EMG-based Motionless Gestures

Enrico Costanza

Mobile communication devices, such as mobile phones and networked personal digital assistants (PDAs), allow users to be constantly connected and communicate anywhere and at any time, often resulting in personal and private communication taking place in pub ...

Acm Order Department, P O Box 64145, Baltimore, Md 21264 Usa2007

Perceptually-tuned grayscale characters based on parametrisable component fonts

Roger Hersch

Our component-based parametrisable font system is a newly developed font description and reproduction technology. It incorporates for each basic character shape a software method responsible for the synthesis of an instance of that character. A given font ...

Springer-Verlag2004

Japanese mobile phone culture

Graph Chatbot

Chat with Graph Search

Discovering Human Routines from Cell Phone Data with Topic Models

What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data

What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data

Features extraction for low-power face verification

Daily Routine Classification from Mobile Phone Data

Hybrid DHT Design for Mobile Environments

Daily Routine Classification from Mobile Phone Data

GEO-RBAC: A spatially aware RBAC

Intimate Interfaces in Action: Assessing the Usability and Subtlety of EMG-based Motionless Gestures

Perceptually-tuned grayscale characters based on parametrisable component fonts

Features extraction for low-power face verification

Discovering Human Routines from Cell Phone Data with Topic Models

What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data

What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data

Daily Routine Classification from Mobile Phone Data

GEO-RBAC: A spatially aware RBAC

Daily Routine Classification from Mobile Phone Data

Hybrid DHT Design for Mobile Environments

Intimate Interfaces in Action: Assessing the Usability and Subtlety of EMG-based Motionless Gestures

Perceptually-tuned grayscale characters based on parametrisable component fonts