| Title |
EEG-based analysis of human driving performance in turning left and right using Hopfield neural network
|
|---|---|
| Published in |
SpringerPlus, December 2013
|
| DOI | 10.1186/2193-1801-2-662 |
| Pubmed ID | |
| Authors |
Mitra Taghizadeh-Sarabi, Kavous Salehzadeh Niksirat, Sohrab Khanmohammadi, Mohammadali Nazari |
| Abstract |
In this article a quantitative analysis was devised assessing driver's cognition responses by exploring the neurobiological information underlying electroencephalographic (EEG) brain signals in a left and right turning experiment on simulator environment. Driving brain signals have been collected by a 19-channel electroencephalogram recording system. The driving pathway has been selected with no obstacles, a set of indicators are used to inform the subjects when they had to turn left or right by means of keyboard left and right arrows. Subsequently in order to remove artifacts, preprocessing is performed on data to achieve high accuracy. Features of signals are extracted by using Fast Fourier Transform (FFT). Absolute power of FFT is used as a basic feature. Scalar Feature selection method is applied to reduce feature dimension. Thereafter dimension-reduced features are fed to Hopfield Neural Network (HNN) recognizing different brain potentials stimulated by turning to left and right. The performances of HNN are evaluated by considering five conditions; before feature extraction, after feature extraction, before reduction of features, after analyzing reduced features and finally subject-wise Hopfield performances respectively. An increase occurred in each level and continued until it has reached its highest 97.6% of accuracy on last condition. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 50% |
| Ireland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 36% |
| Student > Doctoral Student | 5 | 11% |
| Student > Postgraduate | 4 | 9% |
| Student > Master | 4 | 9% |
| Researcher | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 23% |
| Computer Science | 8 | 17% |
| Neuroscience | 6 | 13% |
| Agricultural and Biological Sciences | 4 | 9% |
| Psychology | 4 | 9% |
| Other | 4 | 9% |
| Unknown | 10 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 08 January 2014.
All research outputs
#17,137,417
of 25,182,110 outputs
Outputs from SpringerPlus
#962
of 1,869 outputs
Outputs of similar age
#206,075
of 320,987 outputs
Outputs of similar age from SpringerPlus
#48
of 83 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,869 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 320,987 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.