Concept

Natural-language user interface

Publications associées (148)

Online Generative Model Personalization for Hand Tracking

Mark Pauly, Andrea Tagliasacchi, Edoardo Remelli, Anastasia Tkach

We present a newalgorithm for real-time hand tracking on commodity depth-sensing devices. Our method does not require a user-specific calibration session, but rather learns the geometry as the user performs live in front of the camera, thus enabling seamle ...

Assoc Computing Machinery2017

Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future

Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil, Anton Nijholt

Brain–computer interfaces (BCI) (also referred to as brain–machine interfaces; BMI) are, by definition, an interface between the human brain and a technological application. Brain activity for interpretation by the BCI can be acquired with either invasive ...

Taylor & Francis Ltd2017

PriBots: Conversational Privacy with Chatbots

Karl Aberer, Hamza Harkous, Kassem Fawaz

Traditional mechanisms for delivering notice and enabling choice have so far failed to protect users’ privacy. Users are continuously frustrated by complex privacy policies, unreachable privacy settings, and a multitude of emerging standards. The miniaturi ...

2016

Towards End-to-End Speech Recognition

Dimitri Palaz

Standard automatic speech recognition (ASR) systems follow a divide and conquer approach to convert speech into text. Alternately, the end goal is achieved by a combination of sub-tasks, namely, feature extraction, acoustic modeling and sequence decoding, ...

EPFL2016

Natural user interface for lighting control: Case study on desktop lighting using modular robots

Auke Ijspeert, Mehmet Hasan Mutlu, Massimo Vespignani, Simon Lukas Hauser, Stéphane Bonardi, Alexandre Bernardino

Roombots (RB) are self-reconfigurable modular robots designed to explore physical structure change by robotic reconfiguration and adaptive locomotion on structured grid environment or unstructured environment. The primary goal of RB is to create adaptive f ...

Ieee2016

Learning Controllers for Reactive and Proactive Behaviors in Human-Robot Collaboration

Sylvain Calinon

Designed to safely share the same workspace as humans and assist them in various tasks, the new collaborative robots are targeting manufacturing and service applications that once were considered unattainable. The large diversity of tasks to carry out, the ...

2016

Twitter Sentiment Analysis (Almost) from Scratch

Rémi Philippe Lebret, Ronan Collobert, Pedro Henrique Oliveira Pinheiro

A popular application in Natural Language Processing (NLP) is the Sentiment Analysis (SA), i.e., the task of extracting contextual polarity from a given text. The social network Twitter provides an immense amount of text (called tweets) generated by users ...

Idiap2016

JRC-Names: Multilingual Entity Name variants and titles as Linked Data

Maud Ehrmann

Since 2004 the European Commission's Joint Research Centre (JRC) has been analysing the online version of printed media in over twenty languages and has automatically recognised and compiled large amounts of named entities (persons and organisations) and t ...

2016

Low-Rank Representation For Enhanced Deep Neural Network Acoustic Models

Automatic speech recognition (ASR) is a fascinating area of research towards realizing humanmachine interactions. After more than 30 years of exploitation of Gaussian Mixture Models (GMMs), state-of-the-art systems currently rely on Deep Neural Network (DN ...

Idiap2016

Do We Need Binary Features for 3D Reconstruction?

Pascal Fua, Xinchao Wang, Zhiye Wang, Bin Fan

Binary features have been incrementally popular in the past few years due to their low memory footprints and the efficient computation of Hamming distance between binary descriptors. They have been shown with promising results on some real time application ...

2016

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