Loading...
Please wait, while we are loading the content...
Similar Documents
Update of fNIRS as an Input to Brain–Computer Interfaces: A Review of Research from the Tufts Human–Computer Interaction Laboratory
| Content Provider | Semantic Scholar |
|---|---|
| Author | Bosworth, Alexa Russell, Matthew Jacob, Robert J. K. |
| Copyright Year | 2019 |
| Abstract | Over the past decade, the Human–Computer Interaction (HCI) Lab at Tufts University has been developing real-time, implicit Brain–Computer Interfaces (BCIs) using functional near-infrared spectroscopy (fNIRS). This paper reviews the work of the lab; we explore how we have used fNIRS to develop BCIs that are based on a variety of human states, including cognitive workload, multitasking, musical learning applications, and preference detection. Our work indicates that fNIRS is a robust tool for the classification of brain-states in real-time, which can provide programmers with useful information to develop interfaces that are more intuitive and beneficial for the user than are currently possible given today’s human-input (e.g., mouse and keyboard). |
| Starting Page | 90 |
| Ending Page | 90 |
| Page Count | 1 |
| File Format | PDF HTM / HTML |
| DOI | 10.3390/photonics6030090 |
| Volume Number | 6 |
| Alternate Webpage(s) | https://res.mdpi.com/d_attachment/photonics/photonics-06-00090/article_deploy/photonics-06-00090-v2.pdf |
| Alternate Webpage(s) | https://doi.org/10.3390/photonics6030090 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
