Towards a new modality-independent interface for a robotic wheelchair

Teodiano Freire Bastos-Filho, Fernando Auat Cheein, Sandra Mara Torres Muller, Wanderley Cardoso Celeste, Celso De La Cruz, Daniel Cruz Cavalieri, Mario Sarcinelli-Filho, Paulo Faria Santos Amaral, Elisa Perez, Carlos Miguel Soria, Ricardo Carelli

Research output: Contribution to journalArticlepeer-review

58 Citations (Scopus)

Abstract

This work presents the development of a robotic wheelchair that can be commanded by users in a supervised way or by a fully automatic unsupervised navigation system. It provides flexibility to choose different modalities to command the wheelchair, in addition to be suitable for people with different levels of disabilities. Users can command the wheelchair based on their eye blinks, eye movements, head movements, by sip-and-puff and through brain signals. The wheelchair can also operate like an auto-guided vehicle, following metallic tapes, or in an autonomous way. The system is provided with an easy to use and flexible graphical user interface onboard a personal digital assistant, which is used to allow users to choose commands to be sent to the robotic wheelchair. Several experiments were carried out with people with disabilities, and the results validate the developed system as an assistive tool for people with distinct levels of disability.

Original languageEnglish
Pages (from-to)567-584
Number of pages18
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume22
Issue number3
DOIs
Publication statusPublished - May 2014

Keywords

  • Assistive devices
  • assistive technology
  • biomedical transducers
  • service robots
  • wheelchairs

ASJC Scopus subject areas

  • Internal Medicine
  • Neuroscience(all)
  • Biomedical Engineering

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