Abstract
The investigation of innovative Human-Computer Interfaces (HCI) provides a challenge for future multimedia research and development. Brain-Computer Interfaces (BCI) exploit the ability of human communication and control bypassing the classical neuromuscular communication channels. In general, BCIs offer a possibility of communication for people with severe neuromuscular disorders, such as Amyotrophic Lateral Sclerosis (ALS) or spinal cord injury. Beyond medical applications, a BCI conjunction with exciting multimedia applications, e.g., a dexterity game, could define a new level of control possibilities also for healthy customers decoding information directly from the user's brain, as reflected in electroencephalographic (EEG) signals which are recorded non-invasively from user's scalp. This contribution introduces the Berlin Brain-Computer Interface (BBCI) and presents setups where the user is provided with intuitive control strategies in plausible gaming applications that use biofeedback. Yet at its beginning, BBCI thus adds a new dimension in multimedia research by offering the user an additional and independent communication channel based on brain activity only. First successful experiments already yielded inspiring proofs-of-concept. A diversity of multimedia application models, say computer games, and their specific intuitive control strategies, as well as various Virtual Reality (VR) scenarios are now open for BCI research aiming at a further speed up of user adaptation and increase of learning success and transfer bit rates.
| Original language | English |
|---|---|
| Pages (from-to) | 73-90 |
| Number of pages | 18 |
| Journal | Multimedia Tools and Applications |
| Volume | 33 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2007 Apr |
| Externally published | Yes |
Bibliographical note
Funding Information:Manuscript received on November the 25th, 2003. This work was supported by a grant of the Bundesministerium für Bildung und Forschung (BMBF), FKZ 01IBB02A and 01IBB02B. R.Krepki(*).B.Blankertz.K.-R.Müller Fraunhofer Institute for Computer Architecture and Software Technology (FhG-FIRST), Research Group for Intelligent Data Analysis (IDA), Bergweg 6, 61462 Koenigstein i.Ts., Germany e-mail: [email protected]
Keywords
- Biofeedback
- Brain-computer interface
- Brain-gaming
- Digital signal processing
- Electroencephalography
- Human-computer interaction
- Machine learning
ASJC Scopus subject areas
- Software
- Media Technology
- Hardware and Architecture
- Computer Networks and Communications