Literature DB >> 22255272

Brain-controlled telepresence robot by motor-disabled people.

Luca Tonin1, Tom Carlson, Robert Leeb, José del R Millán.   

Abstract

In this paper we present the first results of users with disabilities in mentally controlling a telepresence robot, a rather complex task as the robot is continuously moving and the user must control it for a long period of time (over 6 minutes) to go along the whole path. These two users drove the telepresence robot from their clinic more than 100 km away. Remarkably, although the patients had never visited the location where the telepresence robot was operating, they achieve similar performances to a group of four healthy users who were familiar with the environment. In particular, the experimental results reported in this paper demonstrate the benefits of shared control for brain-controlled telepresence robots. It allows all subjects (including novel BMI subjects as our users with disabilities) to complete a complex task in similar time and with similar number of commands to those required by manual control.

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Year:  2011        PMID: 22255272     DOI: 10.1109/IEMBS.2011.6091049

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  6 in total

1.  Expectations and Perceptions of Healthcare Professionals for Robot Deployment in Hospital Environments During the COVID-19 Pandemic.

Authors:  Sergio D Sierra Marín; Daniel Gomez-Vargas; Nathalia Céspedes; Marcela Múnera; Flavio Roberti; Patricio Barria; Subramanian Ramamoorthy; Marcelo Becker; Ricardo Carelli; Carlos A Cifuentes
Journal:  Front Robot AI       Date:  2021-06-02

2.  Tools for Brain-Computer Interaction: A General Concept for a Hybrid BCI.

Authors:  Gernot R Müller-Putz; Christian Breitwieser; Febo Cincotti; Robert Leeb; Martijn Schreuder; Francesco Leotta; Michele Tavella; Luigi Bianchi; Alex Kreilinger; Andrew Ramsay; Martin Rohm; Max Sagebaum; Luca Tonin; Christa Neuper; José Del R Millán
Journal:  Front Neuroinform       Date:  2011-11-24       Impact factor: 4.081

3.  Deep learning with convolutional neural networks for EEG decoding and visualization.

Authors:  Robin Tibor Schirrmeister; Jost Tobias Springenberg; Lukas Dominique Josef Fiederer; Martin Glasstetter; Katharina Eggensperger; Michael Tangermann; Frank Hutter; Wolfram Burgard; Tonio Ball
Journal:  Hum Brain Mapp       Date:  2017-08-07       Impact factor: 5.038

Review 4.  EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots.

Authors:  Madiha Tariq; Pavel M Trivailo; Milan Simic
Journal:  Front Hum Neurosci       Date:  2018-08-06       Impact factor: 3.169

5.  Driving a Semiautonomous Mobile Robotic Car Controlled by an SSVEP-Based BCI.

Authors:  Piotr Stawicki; Felix Gembler; Ivan Volosyak
Journal:  Comput Intell Neurosci       Date:  2016-07-26

6.  Data-driven body-machine interface for the accurate control of drones.

Authors:  Jenifer Miehlbradt; Alexandre Cherpillod; Stefano Mintchev; Martina Coscia; Fiorenzo Artoni; Dario Floreano; Silvestro Micera
Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-16       Impact factor: 11.205

  6 in total

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