Utilizing Secondary Input from Passive Brain-Computer Interfaces for Enhancing Human-Machine Interaction-Reference-Cited by-同舟云学术

Utilizing Secondary Input from Passive Brain-Computer Interfaces for Enhancing Human-Machine Interaction

Published:2009 Issue: Volume: Page:759-771
ISSN:0302-9743
Container-title:Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience
language:
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Author:

Zander T. O.,Kothe C.,Welke S.,Roetting M.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-02812-0_86

Reference22 articles.

1. Blankertz, B., Curio, G., Mueller, K.-R.: Classifying single trial eeg: Towards brain computer interfacing. In: Advances in Neural Inf. Proc. Systems (NIPS 2001), January 2002, vol. 14, pp. 157–164 (2002)

2. Blankertz, B., Dornhege, G., Krauledat, M., Müller, K.-R., Curio, G.: The non-invasive berlin brain-computer interface: Fast acquisition of effective performance in untrained subjects. NeuroImage 37, 539–550 (2007)

3. Zander, T.O., Kothe, C., Jatzev, S., Dashuber, R., Welke, S., de Fillippis, M., Roetting, M.: Team phypa: Developing applications for brain-computer interaction. In: Proceedings of the CHI-Conference, Florence, Italy (2008)

4. Cutrell, E., Tan, D.: BCI for passive input in HCI. In: Proceedings of the CHI-Conference, Florence, Italy (2008)

5. Zander, T.O., Kothe, C., Jatzev, S., Luz, M., Mann, A.: Das phypa-bci: Ein brain-computer-interface als kognitive schnittstelle in der mensch-maschine-interaktion. Prospektive Gestaltung von Mensch-Technik-Interaktion 13, 183–185 (2007)

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