Title
A feasible BCI in real life: Using predicted head rotation to improve HMD imaging
Author
Brouwer, A.M.
van der Waa, J.S.
Hogervorst, M.A.
Cacace, A.
Stokking, H.
Publication year
2017
Abstract
While brain signals potentially provide us with valuable information about a user, it is not straightforward to derive and use this information to smooth man-machine interaction in a real life setting. We here propose to predict head rotation on the basis of brain signals in order to improve images presented in a Head Mounted Display (HMD). Previous studies based on arm and leg movements suggest that this could be possible, and a pilot study showed promising results. From the perspective of the field of Brain-Computer Interfaces (BCI), this application provides a good case to put the field's achievements to the test and to further develop in the context of a real life application. The main reason for this is that within the proposed application, acquiring accurately labeled training data (whether and which head movement took place) and monitoring of the quality of the predictive model can happen on the fly. From the perspective of HMD technology and Intelligent User Interfaces, the proposed BCI potentially improves user experience and enables new types of immersive applications. © 2017 ACM. ACM SIGAI; ACM SIGCHI
Subject
Human & Operational Modelling
PCS - Perceptual and Cognitive Systems
ELSS - Earth, Life and Social Sciences
EEG
HMD
Movement
Passive BCI
Virtual reality
Electroencephalography
Helmet mounted displays
Human computer interaction
Interfaces (computer)
User interfaces
Virtual reality
Head mounted displays
Immersive application
Intelligent User Interfaces
Labeled training data
Movement
Passive BCI
Predictive modeling
Real-life applications
Brain computer interface
To reference this document use:
http://resolver.tudelft.nl/uuid:4ea5c7d7-a2d6-435b-89be-0c1ea72276d9
DOI
https://doi.org/10.1145/3038439.3038440
TNO identifier
756682
Publisher
Association for Computing Machinery, Inc
ISBN
9781450349048
Source
1st ACM Workshop on An Application-Oriented Approach to BCI Out of the Laboratory, BCIforReal 2017. 13 March 2017, 35-38
Document type
conference paper