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Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls

Publications associées (79)

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Camera Orientation Based on Matching Road Networks

The following paper shows an approach to measure orientation data of sensors during an airplane flight for traffic data acquisition. This orientation data is necessary for georegistration of any taken aerial images and extracted features. Since an inertial ...

2009

Classifying Material in the Real World

Barbara Caputo

Classifying materials from their appearance is challenging. Impressive results have been obtained under varying illumination and pose conditions. Still, the effect of scale variations and the possibility to generalise across different material samples are ...

2009

Drivolution: Rethinking the Database Driver Lifecycle

George Candea, Emmanuel Cecchet

The current design of database drivers – a necessary evil for interacting with a DBMS – imposes undue burdens on those who install, upgrade, and manage database systems and their applications. In this paper, we introduce Drivolution, a new architecture for ...

2009

Linear Parameter Varying Iterative Learning Control

Alireza Karimi, Mark Edward John Butcher

In this paper an Iterative Learning Control (ILC) algorithm is proposed for a certain class of Linear Parameter Varying (LPV) systems whose dynamics change between iterations. Consistency of the algorithm in the presence of stochastic disturbances is shown ...

2009

Evaluation of Background Subtraction Methods

Samira Sheikhi

In this paper we evaluate and compare six well-known foreground from background subtraction methods against a standard database. To be able to compare these algorithms objectively, we have chosen three challengeable scenarios from this database. The algori ...

2008

The Flux: Creating a Large Annotated Image Database

Sabine Süsstrunk, Patrick Vandewalle, Daniel Tamburrino, Patrick Merryl Marlon Schönmann

From image retrieval to image classification, all research shares one common requirement: a good image database to test or train the algorithms. In order to create a large database of images, we set up a project that allowed gathering a collection of more ...

2008

Segmenting memory colours

Sabine Süsstrunk, Francisco Estrada

Memory colours refer to the colour of specific image classes that have the essential attribute of being perceived in a consistent manner by human observers. In colour correction or rendering tasks, this consistency implies that they have to be faithfully r ...

2008

Redundant MEMS-IMU integrated with GPS for Performance Assessment in Sports

Jan Skaloud, Stéphane Guerrier

In this article, we investigate two different algorithms for the integration of GPS with redundant MEMS-IMUs. Firstly, the inertial measurements are combined in the observation space to generate a synthetic set of data which is then integrated with GPS by ...

IEEE2008

Critical Sections: Re-Emerging Scalability Concerns for Database Storage Engines

Anastasia Ailamaki, Frederick Ryan Johnson, Ippokratis Pandis

Critical sections in database storage engines impact performance and scalability more as the number of hardware contexts per chip continues to grow exponentially. With enough threads in the system, some critical section will eventually become a bottleneck. ...

2008

Practical algorithms for gathering stored correlated data in a network

Ramin Khalili

Many sensing systems remotely monitor/measure an environment at several sites, and then report these observations to a central site. We propose and investigate several practical algorithms for joint routing and compression of data files as they are forward ...

2008