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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hybrid EEG–fNIRS-Based Eight-Command Decoding for BCI: Application to Quadcopter Control
|
|---|---|
| Published in |
Frontiers in Neurorobotics, February 2017
|
| DOI | 10.3389/fnbot.2017.00006 |
| Pubmed ID | |
| Authors |
Muhammad Jawad Khan, Keum-Shik Hong |
| Abstract |
In this paper, a hybrid electroencephalography-functional near-infrared spectroscopy (EEG-fNIRS) scheme to decode eight active brain commands from the frontal brain region for brain-computer interface is presented. A total of eight commands are decoded by fNIRS, as positioned on the prefrontal cortex, and by EEG, around the frontal, parietal, and visual cortices. Mental arithmetic, mental counting, mental rotation, and word formation tasks are decoded with fNIRS, in which the selected features for classification and command generation are the peak, minimum, and mean ΔHbO values within a 2-s moving window. In the case of EEG, two eyeblinks, three eyeblinks, and eye movement in the up/down and left/right directions are used for four-command generation. The features in this case are the number of peaks and the mean of the EEG signal during 1 s window. We tested the generated commands on a quadcopter in an open space. An average accuracy of 75.6% was achieved with fNIRS for four-command decoding and 86% with EEG for another four-command decoding. The testing results show the possibility of controlling a quadcopter online and in real-time using eight commands from the prefrontal and frontal cortices via the proposed hybrid EEG-fNIRS interface. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 16% |
| India | 1 | 5% |
| Venezuela, Bolivarian Republic of | 1 | 5% |
| Pakistan | 1 | 5% |
| Paraguay | 1 | 5% |
| Afghanistan | 1 | 5% |
| Tanzania, United Republic of | 1 | 5% |
| Chile | 1 | 5% |
| United Arab Emirates | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 6 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 79% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
| Scientists | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 183 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 39 | 21% |
| Student > Ph. D. Student | 30 | 16% |
| Researcher | 16 | 9% |
| Student > Bachelor | 15 | 8% |
| Student > Doctoral Student | 10 | 5% |
| Other | 23 | 13% |
| Unknown | 50 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 69 | 38% |
| Neuroscience | 20 | 11% |
| Computer Science | 12 | 7% |
| Psychology | 7 | 4% |
| Social Sciences | 3 | 2% |
| Other | 12 | 7% |
| Unknown | 60 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 April 2021.
All research outputs
#2,613,387
of 22,952,268 outputs
Outputs from Frontiers in Neurorobotics
#47
of 871 outputs
Outputs of similar age
#50,599
of 309,413 outputs
Outputs of similar age from Frontiers in Neurorobotics
#2
of 16 outputs
Altmetric has tracked 22,952,268 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 871 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 309,413 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.