Publication

Reach-to-grasp motions: Towards a dynamic classification approach for upper-limp prosthesis

Publications associées (34)

Improving the arm-hand coordination in neuroprosthetics control with prior information from muscle activity

Humans use their hands mainly for grasping and manipulating objects, performing simple and dexterous tasks. The loss of a hand may significantly affect one's working status and independence in daily life. A restoration of the grasping ability is important ...

EPFL2019

Open-Vocabulary Keyword Spotting with Audio and Text Embeddings

Martin Jaggi, Milos Cernak, Niccolò Sacchi

Keyword Spotting (KWS) systems allow detecting a set of spoken (pre-defined) keywords. Open-vocabulary KWS systems search for the keywords in the set of word hypotheses generated by an automatic speech recognition (ASR) system which is computationally expe ...

2019

Discriminating among degenerative parkinsonisms using advanced 123I-ioflupane SPECT analyses

Dimitri Nestor Alice Van De Ville, Simon Pierre Jean Badoud

I-123-ioflupane single photon emission computed tomography (SPECT) is a sensitive and well established imaging tool in Parkinson's disease (PD) and atypical parkinsonian syndromes (APS), yet a discrimination between PD and APS has been considered inconsist ...

Elsevier Sci Ltd2016

Adaptive Assistance for Brain-Computer Interfaces by Online Prediction of Command Reliability

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Sareh Saeedi

One of the challenges of using brain-computer interfaces (BCIs) over extended periods of time is the variation of the users' performance across different experimental days. The goal of the current study is to propose a performance estimator for an electroe ...

Institute of Electrical and Electronics Engineers2016

Tree-structured Classifier for Acceleration-based Activity and Gesture Recognition on Smartwatches

Karl Aberer, Julien Eberle, Dipanjan Chakraborty

This paper proposes a new method for recognizing both activities and gestures by using acceleration data collected on a smartwatch. While both activity recognition techniques and gesture recognition techniques employ acceleration data, these techniques are ...

Ieee2016

Anti-spoofing in action: joint operation with a verification system

Sébastien Marcel, André Anjos, Ivana Chingovska

Besides the recognition task, today's biometric systems need to cope with additional problem: spoofing attacks. Up to date, academic research considers spoofing as a binary classification problem: systems are trained to discriminate between real accesses a ...

2013

Anti-spoofing in action: joint operation with a verification system

Sébastien Marcel, André Anjos, Ivana Chingovska

Idiap2013

Optofluidic microdevice for algae classification: a comparison of results from discriminant analysis and neural network pattern recognition

Yves Bellouard

The early detection of changes in the level and composition of algae is essential for tracking water quality and environmental changes. Current approaches require the collection of a specimen which is later analyzed in a laboratory: this slow and expensive ...

2012

An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms

Sébastien Marcel

In this paper we introduce the facereclib, the first software library that allows to compare a variety of face recognition algorithms on most of the known facial image databases and that permits rapid prototyping of novel ideas and testing of meta-paramete ...

Idiap2012

Face Detection using Ferns

Sébastien Marcel, Venkatesh Bala Subburaman

This paper discusses the use of ferns (a set of binary features) for face detection. The binary feature used here is the sign of pixel intensity difference. Ferns were first introduced for keypoint recognition and showed good performance, and improving the ...

Idiap2011

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