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Institute
Beyond the state of the art, towards intuitive and reliable non-visual Brain-Computer-Interfacing
(2016)
For the present work three main goals were formulated:
goal 1 To design a tactile BCI used for mobility which is
intuitive (G1.1), reliable and fast while being usable
by participants aged 50 years and above.
goal 2 To design an auditory BCI used for communication
which is intuitive and reliable.
goal 3 To examine the effects of training on tactile and
auditory BCI performance.
Three studies were performed to achieve these goals.
In the first study nine participants aged above 50 years
performed a five-session training after which eight participants
were able to navigate a virtual wheelchair with
mean accuracy above 95% and an ITR above 20 bits / min.
In the second study 15 participants, four of them endusers
with motor-impairment, were able to communicate
meaningful with high accuracies using an auditory BCI.
In the third study nine healthy and nine visually impaired
participants (regarded as sensory experts for non-visual
perception) performed tactile, auditory and visual (for
healthy participants only) copy tasks. Participants with
trained perception significantly outperformed control
participants for tactile but not for auditory performance.
Tactile performance of sensory experts was on equal levels
as the visual performance of control participants.
We were able to demonstrate viability of intuitive gazeindependent
tactile and auditory BCI. Our tactile BCI performed
on levels similar to those of visual BCI, outperforming
current tactile BCI protocols. Furthermore, we were
able to demonstrate significant beneficial effect of training
on tactile BCI performance. Our results demonstrate previously
untapped potential for tactile BCI and avenues for
future research in the field of gaze-independent BCI.
The objective of this study was to test the usability of a new auditory Brain-Computer Interface (BCI) application for communication. We introduce a word based, intuitive auditory spelling paradigm the WIN-speller. In the WIN-speller letters are grouped by words, such as the word KLANG representing the letters A, G, K, L, and N. Thereby, the decoding step between perceiving a code and translating it to the stimuli it represents becomes superfluous. We tested 11 healthy volunteers and four end-users with motor impairment in the copy spelling mode. Spelling was successful with an average accuracy of 84% in the healthy sample. Three of the end-users communicated with average accuracies of 80% or higher while one user was not able to communicate reliably. Even though further evaluation is required, the WIN-speller represents a potential alternative for BCI based communication in end-users.
Background
People with severe disabilities, e.g. due to neurodegenerative disease, depend on technology that allows for accurate wheelchair control. For those who cannot operate a wheelchair with a joystick, brain-computer interfaces (BCI) may offer a valuable option. Technology depending on visual or auditory input may not be feasible as these modalities are dedicated to processing of environmental stimuli (e.g. recognition of obstacles, ambient noise). Herein we thus validated the feasibility of a BCI based on tactually-evoked event-related potentials (ERP) for wheelchair control. Furthermore, we investigated use of a dynamic stopping method to improve speed of the tactile BCI system.
Methods
Positions of four tactile stimulators represented navigation directions (left thigh: move left; right thigh: move right; abdomen: move forward; lower neck: move backward) and N = 15 participants delivered navigation commands by focusing their attention on the desired tactile stimulus in an oddball-paradigm.
Results
Participants navigated a virtual wheelchair through a building and eleven participants successfully completed the task of reaching 4 checkpoints in the building. The virtual wheelchair was equipped with simulated shared-control sensors (collision avoidance), yet these sensors were rarely needed.
Conclusion
We conclude that most participants achieved tactile ERP-BCI control sufficient to reliably operate a wheelchair and dynamic stopping was of high value for tactile ERP classification. Finally, this paper discusses feasibility of tactile ERPs for BCI based wheelchair control.