Publications associées à Reading for special needs

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

Mahsa Shoaran, Uisub Shin, Gregor Rainer, Mohammad Ali Shaeri, Amitabh Yadav

Recently, cutting-edge brain-machine interfaces (BMIs) have revealed the potential of decoders such as recurrent neural networks (RNNs) in predicting attempted handwriting [1] or speech [2], enabling rapid communication recovery after paralysis. However, c ...

IEEE2024

Kinesthetic motor-imagery training improves performance on lexical-semantic access

Sylvain Jean-François Harquel, Camille Bonnet

The objective of this study was to evaluate the effect of Motor Imagery (MI) training on language comprehension. In line with literature suggesting an intimate relationship between the language and the motor system, we proposed that a MI-training could imp ...

PUBLIC LIBRARY SCIENCE2022

A large scale study of reader interactions with images on Wikipedia

Tiziano Piccardi, Daniele Rama

Wikipedia is the largest source of free encyclopedic knowledge and one of the most visited sites on the Web. To increase reader understanding of the article, Wikipedia editors add images within the text of the article's body. However, despite their widespr ...

SPRINGER2022

Aerolysin nanopores decode digital information stored in tailored macromolecular analytes

Aleksandra Radenovic, Matteo Dal Peraro, Chan Cao, Lucien Fabrice Krapp, Nuria Cirauqui Diaz

Digital data storage is a growing need for our society and finding alternative solutions than those based on silicon or magnetic tapes is a challenge in the era of “big data.” The recent development of polymers that can store information at the molecular l ...

2020

A Deep Learning Approach for Robust Head Pose Independent Eye Movements Recognition from Videos

Jean-Marc Odobez, Rémy Alain Siegfried, Yu Yu

Recognizing eye movements is important for gaze behavior understanding like in human communication analysis (human-human or robot interactions) or for diagnosis (medical, reading impairments). In this paper, we address this task using remote RGB-D sensors ...

ACM2019

Why the World Reads Wikipedia: Beyond English Speakers

Robert West

As one of the Web's primary multilingual knowledge sources, Wikipedia is read by millions of people across the globe every day. Despite this global readership, little is known about why users read Wikipedia's various language editions. To bridge this gap, ...

ASSOC COMPUTING MACHINERY2019

EEG-based lower-limb movement onset decoding: Continuous classification and asynchronous detection

José del Rocio Millán Ruiz, Mohamed Bouri, Kyuhwa Lee, Ricardo Andres Chavarriaga Lozano, Dong Liu, Fumiaki Iwane

Brain-machine interfaces (BMIs) have been used to incorporate the user intention to trigger robotic devices by decoding movement onset from electroencephalography (EEG). Active neural participation is crucial to promote brain plasticity thus to enhance the ...

2018

When deictic gestures in a robot can harm child-robot collaboration

Pierre Dillenbourg, Wafa Monia Benkaouar Johal, Elmira Yadollahi, Ana Paiva

This paper describes research aimed at supporting children's reading practices using a robot designed to interact with children as their reading companion. We use a learning by teaching scenario in which the robot has a similar or lower reading level compa ...

ACM2018

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Reading for special needs

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

Kinesthetic motor-imagery training improves performance on lexical-semantic access

A large scale study of reader interactions with images on Wikipedia

PARSINLU: A Suite of Language Understanding Challenges for Persian

Aerolysin nanopores decode digital information stored in tailored macromolecular analytes

A Deep Learning Approach for Robust Head Pose Independent Eye Movements Recognition from Videos

Why the World Reads Wikipedia: Beyond English Speakers

A multi-technique approach to study the microstructural properties of tin-based transparent conductive oxides

EEG-based lower-limb movement onset decoding: Continuous classification and asynchronous detection

When deictic gestures in a robot can harm child-robot collaboration

Graph Chatbot

Chattez avec Graph Search

Kinesthetic motor-imagery training improves performance on lexical-semantic access

PARSINLU: A Suite of Language Understanding Challenges for Persian

A Deep Learning Approach for Robust Head Pose Independent Eye Movements Recognition from Videos

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

A large scale study of reader interactions with images on Wikipedia

Aerolysin nanopores decode digital information stored in tailored macromolecular analytes

Why the World Reads Wikipedia: Beyond English Speakers

A multi-technique approach to study the microstructural properties of tin-based transparent conductive oxides

EEG-based lower-limb movement onset decoding: Continuous classification and asynchronous detection

When deictic gestures in a robot can harm child-robot collaboration