Literature DB >> 31374767

A high-resolution tongue-based joystick to enable robot control for individuals with severe disabilities.

Mostafa Mohammadi, Hendrik Knoche, Michael Gaihede, Bo Bentsen, Lotte N S Andreasen Struijk.   

Abstract

Assistive robotic arms have shown the potential to improve the quality of life of people with severe disabilities. However, a high performance and intuitive control interface for robots with 6-7 DOFs is still missing for these individuals. An inductive tongue computer interface (ITCI) was recently tested for control of robots and the study illustrated potential in this field. The paper describes the investigation of the possibility of developing a high performance tongue-based joystick-like controller for robots through two studies. The first compared different methods for mapping the 18 sensor signals to a 2D coordinate, as a touchpad. The second evaluated the performance of a novel approach for emulating an analog joystick by the ITCI based on the ISO9241-411 standard. Two subjects performed a multi-directional tapping test using a standard analog joystick, the ITCI system held in hand and operated by the other hand, and finally by tongue when mounted inside the mouth. Throughput was measured as the evaluation parameter. The results show that the contact on the touchpads can be localized by almost 1 mm accuracy. The effective throughput of ITCI system for the multi-directional tapping test was 2.03 bps while keeping it in the hand and 1.31 bps when using it inside the mouth.

Entities:  

Year:  2019        PMID: 31374767     DOI: 10.1109/ICORR.2019.8779434

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  1 in total

1.  Eyes-Free Tongue Gesture and Tongue Joystick Control of a Five DOF Upper-Limb Exoskeleton for Severely Disabled Individuals.

Authors:  Mostafa Mohammadi; Hendrik Knoche; Mikkel Thøgersen; Stefan Hein Bengtson; Muhammad Ahsan Gull; Bo Bentsen; Michael Gaihede; Kåre Eg Severinsen; Lotte N S Andreasen Struijk
Journal:  Front Neurosci       Date:  2021-12-17       Impact factor: 4.677

  1 in total

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