Evaluating User Experience of Actual and Imagined Movement in BCI Gaming

Author(s):  
Bram van de Laar ◽  
Boris Reuderink ◽  
Danny Plass-Oude Bos ◽  
Dirk Heylen

Most research on Brain-Computer Interfaces (BCI) focuses on developing ways of expression for disabled people who are not able to communicate through other means. Recently it has been shown that BCI can also be used in games to give users a richer experience and new ways to interact with a computer or game console. This paper describes research conducted to find out what the differences are between using actual and imagined movement as modalities in a BCI game. Results show that there are significant differences in user experience and that actual movement is a more robust way of communicating through a BCI.

Author(s):  
Bram van de Laar ◽  
Boris Reuderink ◽  
Danny Plass-Oude Bos ◽  
Dirk Heylen

Most research on Brain-Computer Interfaces (BCI) focuses on developing ways of expression for disabled people who are not able to communicate through other means. Recently it has been shown that BCI can also be used in games to give users a richer experience and new ways to interact with a computer or game console. This paper describes research conducted to find out what the differences are between using actual and imagined movement as modalities in a BCI game. Results show that there are significant differences in user experience and that actual movement is a more robust way of communicating through a BCI.


2016 ◽  
Vol 7 ◽  
Author(s):  
Luz M. Alonso-Valerdi ◽  
David A. Gutiérrez-Begovich ◽  
Janet Argüello-García ◽  
Francisco Sepulveda ◽  
Ricardo A. Ramírez-Mendoza

Author(s):  
Bram van de Laar ◽  
Hayrettin Gürkök ◽  
Danny Plass-Oude Bos ◽  
Femke Nijboer ◽  
Anton Nijholt

Author(s):  
Pierluigi Casale ◽  
Juan Manuel Fern'ndez ◽  
Xavier Rafael Palou ◽  
Sergi Torrellas ◽  
Mojdeh Ratsgoo ◽  
...  

Author(s):  
S. Srilekha ◽  
B. Vanathi

This paper focuses on electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) comparison to help the rehabilitation patients. Both methods have unique techniques and placement of electrodes. Usage of signals are different in application based on the economic conditions. This study helps in choosing the signal for the betterment of analysis. Ten healthy subject datasets of EEG & FNIRS are taken and applied to plot topography separately. Accuracy, Sensitivity, peaks, integral areas, etc are compared and plotted. The main advantages of this study are to prompt their necessities in the analysis of rehabilitation devices to manage their life as a typical individual.


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