Publications de Luca Tonin | EPFL Graph Search

Editorial: Hybrid brain-robot interfaces for enhancing mobility

Solaiman Shokur, Luca Tonin, Silvestro Micera, Fiorenzo Artoni, Stefano Tortora

FRONTIERS MEDIA SA2023

Learning to control a BMI-driven wheelchair for people with severe tetraplegia

José del Rocio Millán Ruiz, Luca Tonin, Serafeim Perdikis, Bastien Orset, Kyuhwa Lee

Mind-controlled wheelchairs are an intriguing assistive mobility solution applicable in complete paralysis. Despite progress in brain-machine interface (BMI) technology, its translation remains elusive. The primary objective of this study is to probe the h ...

Cell Press2022

Shared Intelligence for Robot Teleoperation via BMI

José del Rocio Millán Ruiz, Luca Tonin

This article proposes a novel shared intelligence system for brain-machine interface (BMI) teleoperated mobile robots where user's intention and robot's intelligence are concurrent elements equally participating in the decision process. We designed the sys ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Hybrid Human-Machine Interface for Gait Decoding Through Bayesian Fusion of EEG and EMG Classifiers

Luca Tonin, Silvestro Micera, Fiorenzo Artoni, Stefano Tortora

Despite the advances in the field of brain computer interfaces (BCI), the use of the sole electroencephalography (EEG) signal to control walking rehabilitation devices is currently not viable in clinical settings, due to its unreliability. Hybrid interface ...

2020

The Role of the Control Framework for Continuous Teleoperation of a Brain-Machine Interface-Driven Mobile Robot

José del Rocio Millán Ruiz, Luca Tonin, Felix Christian Bauer

Despite the growing interest in brain-machine interface (BMI)-driven neuroprostheses, the translation of the BMI output into a suitable control signal for the robotic device is often neglected. In this article, we propose a novel control approach based on ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Uncovering EEG Correlates of Covert Attention in Soccer Goalkeepers: Towards Innovative Sport Training Procedures

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Luca Tonin

Advances in sports sciences and neurosciences offer new opportunities to design efficient and motivating sport training tools. For instance, using NeuroFeedback (NF), athletes can learn to self-regulate specific brain rhythms and consequently improve their ...

Nature Research2020

Real-time EEG Feedback on Alpha Power Lateralization Leads to Behavioral Improvements in a Covert Attention Task

José del Rocio Millán Ruiz, Michael Eric Anthony Pereira, Luca Tonin, Christoph Schneider

Visual attention can be spatially oriented, even in the absence of saccadic eye-movements, to facilitate the processing of incoming visual information. One behavioral proxy for this so-called covert visuospatial attention (CVSA) is the validity effect (VE) ...

SPRINGER2020

ROS-Neuro: A common middleware for BMI and robotics. The acquisition and recorder packages

José del Rocio Millán Ruiz, Luca Tonin, Stefano Tortora

Recent advances in the Brain-Machine Interface (BMI) and in the robotic fields allowed researchers to design a new generation of brain-actuated neuroprostheses to control a variety of assistive devices-ranging from powered wheelchairs to telepresence robot ...

IEEE2019

The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users

José del Rocio Millán Ruiz, Luca Tonin, Serafeim Perdikis, Sareh Saeedi, Christoph Schneider

This work aims at corroborating the importance and efficacy of mutual learning in motor imagery (MI) brain–computer interface (BCI) by leveraging the insights obtained through our participation in the BCI race of the Cybathlon event. We hypothesized that, ...

2018

ROS-Health: An Open-Source Framework for Neurorobotics

José del Rocio Millán Ruiz, Luca Tonin

This paper aims at providing a preliminary description of ROS-Health, a novel framework for neurorobotics based on the middleware Robot Operating System (ROS). The increased interest in the neurorobotics field and the proliferation of several (neuro) physi ...

IEEE2018

Brain-Computer Interface meets ROS: A robotic approach to mentally drive telepresence robots

Luca Tonin, Andrea Cimolato

This paper shows and evaluates a novel approach to integrate a non-invasive Brain-Computer Interface (BCI) with the Robot Operating System (ROS) to mentally drive a telepresence robot. Controlling a mobile device by using human brain signals might improve ...

IEEE COMPUTER SOC2018

Brain Racers: How paralysed athletes used a Brain-Computer Interface to win gold at the cyborg olympics

José del Rocio Millán Ruiz, Luca Tonin, Serafeim Perdikis

Ieee-Inst Electrical Electronics Engineers Inc2017

Behavioral and cortical effects during attention driven brain-computer interface operations in spatial neglect: A feasibility case study

José del Rocio Millán Ruiz, Luca Tonin, Robert Leeb, Huaijian Zhang

During the last years, several studies have suggested that Brain-Computer Interface (BCI) can play a critical role in the field of motor rehabilitation. In this case report, we aim to investigate the feasibility of a covert visuospatial attention (CVSA) dr ...

Frontiers Research Foundation2017

Towards Independence: A BCI Telepresence Robot for People with Severe Motor Disabilities

José del Rocio Millán Ruiz, Luca Tonin, Robert Leeb, Tom Edward Carlson

This paper presents an important step forward towards increasing the independence of people with severe motor disabilities, by using brain-computer interfaces (BCI) to harness the power of the Internet of Things. We analyze the stability of brain signals a ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Transferring BCI skills to successful application controls

José del Rocio Millán Ruiz, Alberto Molina Arribere, Luca Tonin, Serafeim Perdikis, Robert Leeb, Andrea Biasiucci, Marco Creatura, Tom Edward Carlson

The goal of our research is to enable various end-users to control applications by using a brain-computer interface (BCI). Since applications–like telepresence robots, wheelchairs or text entry systems–are quite demanding a good level of BCI control is nee ...

2013

Covert visuospatial attention Brain-Computer Interface for control and rehabilitation

Luca Tonin

At the current stage, Brain-Computer Interfaces (BCIs) represent a promising technology for communication and control of assistive devices as well as for the clinical motor rehabilitation after a stroke. Current BCI systems may be divided in two main typol ...

EPFL2013

Transferring brain-computer interfaces beyond the laboratory: Successful application control for motor-disabled users

José del Rocio Millán Ruiz, Alberto Molina Arribere, Luca Tonin, Michele Tavella, Serafeim Perdikis, Robert Leeb, Andrea Biasiucci, Marco Creatura, Tom Edward Carlson

OBJECTIVES: Brain-computer interfaces (BCIs) are no longer only used by healthy participants under controlled conditions in laboratory environments, but also by patients and end-users, controlling applications in their homes or clinics, without the BCI exp ...

Elsevier2013

An online EEG BCI based on covert visuospatial attention in absence of exogenous stimulation

José del Rocio Millán Ruiz, Luca Tonin, Robert Leeb, Aleksander Sobolewski

Objective. In this work we present—for the first time—the online operation of an electroencephalogram (EEG) brain–computer interface (BCI) system based on covert visuospatial attention (CVSA), without relying on any evoked responses. Electrophysiological c ...

Iop Publishing Ltd2013

Brain-Actuated Assistive Mobility For Disabled End-User

José del Rocio Millán Ruiz, Luca Tonin, Robert Leeb, Tom Edward Carlson

Brain-Computer Interfaces (BCIs) have been successfully used to control assistive mobility devices (like a telepresence robot or an electric wheelchair) using only motor imagery. Importantly, disabled end-users are able to achieve similar performances as h ...

De Gruyter2013

Brain-Machine Interfaces: Progress in Large Clinical Validation

José del Rocio Millán Ruiz, Luca Tonin, Serafeim Perdikis, Robert Leeb, Andrea Biasiucci, Tom Edward Carlson

Brain-machine interfaces (BMI) have largely been demonstrated in laboratory conditions involving, mainly, healthy users. We have recently carried out a series of studies with a substantial number of motor-disabled end-users operating different brain-contro ...

2013