Performance analysis of multi-frequency SSVEP-BCI using clear and frosted colour LED stimuli

Mouli, Surej; Palaniappan, Ramaswamy; Sillitoe, Ian Pw; Gan, John Q.

doi:10.1109/bibe.2013.6701552

Cited by 22 publications

(17 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It should be noted that the very small p-values in the tables denotes highly significant difference. SSVEP performance increased with the decrease in stimulus frequency, which also confirms the previous research findings [9,13,21]. In terms of qualitative response, all participants felt comfortable with green horizontal LED stimulus rather than vertical LED stimulus orientation.…”

Section: Resultssupporting

confidence: 79%

See 1 more Smart Citation

Quantification of SSVEP responses using multi-chromatic LED stimuli: Analysis on colour, orientation and frequency

Mouli

Palaniappan

Sillitoe

et al. 2015

2015 7th Computer Science and Electronic Engineering Conference (CEEC)

Self Cite

View full text Add to dashboard Cite

Most LED visual stimulators used in steady state visual evoked potential (SSVEP) brain-computer interface (BCI) use single LED sources to elicit SSVEP responses. In this study, we tested the hypothesis that different orientations would have different responses in different participants and aimed to develop a portable LED based stimulus design which consists of a small number of RGB LEDs arranged in a line which can be oriented horizontally or vertically. The colour and frequency of the flicker were controlled by a portable microcontroller platform. The study investigated the performance of the SSVEP from five participants when the LED stimulus was displayed vertically and horizontally for a period of 30 seconds. The frequency range used was from 7 Hz to 11 Hz with three primary colours: red, green and blue in both orientations. Furthermore, we also compared the effect of vertical and horizontal orientations using four different frequencies and three colours to test visual fatigue reduction. The results of the analysis using band-pass filtering and Fast Fourier Transform showed that the green horizontal LED stimulus orientation gave the highest response and viewing comfort in all the participants rather than the vertical orientation.

show abstract

Section: Resultssupporting

confidence: 79%

“…Our previous study based on single RGB LED has explored the significance of colour in SSVEP stimulus and identified green as a prominent colour with the maximum response in SSVEP in all the frequency ranges [21] . In this study an array of LEDs were used to find the significance of colour based on stimulus orientation.…”

Section: Freq -Frequencymentioning

confidence: 99%

Quantification of SSVEP responses using multi-chromatic LED stimuli: Analysis on colour, orientation and frequency

Mouli

Palaniappan

Sillitoe

et al. 2015

2015 7th Computer Science and Electronic Engineering Conference (CEEC)

Self Cite

View full text Add to dashboard Cite

show abstract

“…Some studies found red to be more effective than white [13,22], while others found green to be more effective under similar conditions [9,12]. There is similar contradictory evidence between the red and green colors; Mouli et al observed green to be more effective [37], while others were more successful using red [8].…”

Section: Preliminary Study: Parameter Optimizationmentioning

confidence: 97%

“…Cao et al justified the preference: white is a combination of all the primary colors and therefore excites cone-cells associated with red, green, and blue light simultaneously [8]. Some studies, however, have successfully used red [13,24,30] and green [9,12,16,22,30,37] alone as stimuli as well. Some studies found red to be more effective than white [13,22], while others found green to be more effective under similar conditions [9,12].…”

Section: Preliminary Study: Parameter Optimizationmentioning

confidence: 99%

Electroencephalography as implicit communication channel for proximal interaction between humans and robot swarms

Luca¹,

Karim

Mondada

2016

Swarm Intell

View full text Add to dashboard Cite

Search and rescue, autonomous construction, and many other semi-autonomous multi-robot applications can benefit from proximal interactions between an operator and a swarm of robots. Most research on proximal interaction is based on explicit communication techniques such as gesture and speech. This study proposes a new implicit proximal communication technique to approach the problem of robot selection. We use electroencephalography (EEG) signals to select the robot at which the operator is looking. This is achieved using steady-state visually evoked potential (SSVEP), a repeatable neural response to a regularly blinking visual stimulus that varies predictively based on the blinking frequency. In our experiments, each robot was equipped with LEDs blinking at a different frequency, and the operator's SSVEP neural response was extracted from the EEG signal to detect and select the robot without requiring any conscious action by the user. This study systematically investigates several parameters affecting the SSVEP neural response: blinking frequency of the LED, distance between the robot and the operator, and color of the LED. Based on these parameters, we study two signal processing approaches and critically analyze their performance on 10 subjects controlling a set of physical robots. Our results show that despite numerous artifacts, it is possible to achieve a recognition rate higher than 85% on some subjects, while the average over the ten subjects was 75%.

show abstract

“…Those noisy signals require efficient strategies for noise prevention using a specific signal processing technique to reduce these undesired effects [6]. However, the common approach in BCI system is involved with a lower frequency stimuli, but in general this will strained users behavioral than a high frequency stimuli [5].…”

mentioning

confidence: 99%

Beyond Pure Frequency and Phases Exploiting: Color Influence in SSVEP Based on BCI

Aljshamee

Mohammed²,

Choudhury³

et al. 2014

CTA

View full text Add to dashboard Cite

A BCI (brain computer interface) established a new direct communication channel using the brain activity between the human brain and machine. The visual stimulus with a certain frequency is present to the BCI users; it exists in a particular condition to observe a continuous brain response respect to frequent of visual stimuli. A significant problem when engaged the SSVEP (steady-state visual evoked potential) based on BCI, it will be exhausted and may suffer for the users when staring at flashing stimuli. This experimental study investigates how the differences in LED's-colors influence of SSVEP with respect to (i.e., frequencies and phases). The result shows that the visualization of phase delays in lower frequencies greater than in higher frequencies.

show abstract

Performance analysis of multi-frequency SSVEP-BCI using clear and frosted colour LED stimuli

Cited by 22 publications

References 17 publications

Quantification of SSVEP responses using multi-chromatic LED stimuli: Analysis on colour, orientation and frequency

Quantification of SSVEP responses using multi-chromatic LED stimuli: Analysis on colour, orientation and frequency

Electroencephalography as implicit communication channel for proximal interaction between humans and robot swarms

Beyond Pure Frequency and Phases Exploiting: Color Influence in SSVEP Based on BCI

Contact Info

Product

Resources

About