mdh.sePublications
Change search
Refine search result
1 - 1 of 1
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Tidare, Jonatan
    et al.
    Mälardalen University, School of Innovation, Design and Engineering.
    Bäckström, Mattias
    Mälardalen University, School of Innovation, Design and Engineering.
    A BRAIN-ACTUATED ROBOT CONTROLLER FOR INTUITIVE AND RELIABLE MANOEUVRING2016Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    During this master-thesis a robot controller designed for low-throughput and noisy EEG-data of a Brain Computer Interface (BCI) is implemented. The hypothesis of this master-thesis state that it is possible to design a modular and platform independent BCI-based controller for a mobile robot, which regulates the autonomy of the robot as a function of the user’s will to control. The BCI design is thoroughly described, including both the design choices regarding used brain activity signals and the pre- and post-processing of EEG data. The robot controller is experimentally tested by completing a set of missions in a simulated environment. Both quantitative and qualitative data is derived from the experimental test setup and used to evaluate the controller performance with different levels of induced noise. Additional to the robot control performance result, an offline validation of the BCI performance is depicted. Strength and weaknesses of the system design is presented based on the acquired result, and suggested solutions to improve the over-all performance is given. The produced result show that using the developed controller is a feasible approach for reliable and intuitive manoeuvring of a telepresence robot.

    Download full text (pdf)
    fulltext
1 - 1 of 1
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf