Name
Title | ||
|---|---|---|
Internet of Things Meets Brain–Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity |
Abstract | ||
|---|---|---|
A brain-computer interface (BCI) acquires brain signals, analyzes, and translates them into commands that are relayed to actuation devices for carrying out desired actions. With the widespread connectivity of everyday devices realized by the advent of the Internet of Things (IoT), BCI can empower individuals to directly control objects such as smart home appliances or assistive robots, directly vi... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JIOT.2018.2877786 | IEEE Internet of Things Journal |
Keywords | Field | DocType |
Electroencephalography,Internet of Things,Brain-computer interfaces,Brain modeling | Interactivity,Subject-matter expert,Computer science,Brain–computer interface,Home automation,Feature engineering,Human–computer interaction,Artificial intelligence,Deep learning,Robot,Distributed computing,Reinforcement learning | Journal |
Volume | Issue | ISSN |
6 | 2 | 2327-4662 |
Citations | PageRank | References |
3 | 0.43 | 11 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiang Zhang | 1 | 41 | 8.15 |
| Lina Yao | 2 | 981 | 93.63 |
| Shichao Zhang | 3 | 2777 | 164.25 |
| Salil S. Kanhere | 4 | 2405 | 173.60 |
| Michael Sheng | 5 | 5 | 1.49 |
| Yunhao Liu | 6 | 8810 | 486.66 |