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| Content Provider | ACM Digital Library |
|---|---|
| Author | Wolpaw, Jonathan R. |
| Abstract | Brain-computer interfaces (BCIs) have a promising future, with researchers in laboratories all over the world using many different brain signals, recording methods, and signal processing approaches to realize increasingly capable systems. These BCI systems can control a variety of external devices, from cursors and avatars on computer screens, to televisions and wheelchairs, to robotic arms and neuroprostheses. People with and without disabilities have tested these systems, and a few people who are severely disabled are already using them for important purposes in their daily lives. Furthermore, several groups are beginning to explore BCI-based methods for improving rehabilitation for people with strokes and other neuromuscular disorders. Thus, BCIs are poised to become a major new technology for people with disabilities, and possibly for the general population as well. At the same time, the realization of this bright future depends on advances in four critical areas. First, both non-invasive and invasive BCIs need better signal-acquisition hardware. Second, the real-life usefulness of BCI systems for people with disabilities requires convincing clinical validation. Third, effective strategies for BCI dissemination and ongoing support must be developed. Fourth, and perhaps most important, if non-invasive or invasive BCIs are to be widely used for anything more than the most basic communication functions, their reliability must be greatly improved. Better reliability may be achieved with BCI design strategies that are based on the principles underlying the excellent reliability of natural neuromuscular actions. These strategies include: effective engagement of brain adaptive capacities; task-appropriate distribution of control between the brain and the BCI; and BCI use of signals from multiple brain areas. Effective attention to these critical areas by scientists and engineers throughout the world can realize the exciting future envisioned for BCI technology. |
| Starting Page | 3 |
| Ending Page | 4 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781450307819 |
| DOI | 10.1145/2110363.2110366 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-01-28 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Brain computer interface |
| Content Type | Text |
| Resource Type | Article |
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