Name
Abstract | ||
|---|---|---|
We present a complete BCI-enabled (Brain Computer Interface) solution for Ambient Assisted Living system control. BCI are alternative, augmentative communication means capable of exploiting just the brain waveforms to infer intent, thus potentially posing as a technological bridge capable of overcoming limitations in the usual neuromuscular pathways. The module was completely developed in a customized way, encompassing hardware and software components. We demonstrate the effectiveness of the approach on a practical control scenario in which the user can issue 4 different commands, at his own pace and will, in real-time. No initial calibration is necessary, in line with the aimed plug&play approach. Results are very promising, especially in false positives rejection, well improving over literature. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3233/978-1-61499-566-1-152 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Brain Computer Interface (BCI),Augmentative Communication,Ambient Assisted Living (AAL) | Communication Aids for Disabled,Brain–computer interface,Human–computer interaction,Component-based software engineering,Control system,Medicine,Augmentative,False positive paradox,Embedded system | Conference |
Volume | ISSN | Citations |
217 | 0926-9630 | 2 |
PageRank | References | Authors |
0.41 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Niccolò Mora | 1 | 30 | 7.51 |
| Niccolò Mora | 2 | 30 | 7.51 |
| I. De Munari | 3 | 2 | 1.43 |
| Paolo Ciampolini | 4 | 91 | 18.26 |
| Ilaria De Munari | 5 | 93 | 16.53 |