Radial photic stimulation for maximal EEG response for BCI applications

Mouli, Surej; Palaniappan, Ramaswamy

doi:10.1109/hsi.2016.7529658

Cited by 3 publications

(3 citation statements)

References 19 publications

(22 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The colour and the radial size were chosen based on previous studies which identified the highest performance in terms of SSVEP response [20,24]. The LED ring consists of 156 individual COB LED's densely packed producing a uniform circular green light.…”

Section: Hardware Design To Generate Visual Stimulusmentioning

confidence: 99%

Toward a reliable PWM‐based light‐emitting diode visual stimulus for improved SSVEP response with minimal visual fatigue

Mouli

Palaniappan

2017

J. eng.

Self Cite

View full text Add to dashboard Cite

Section: Hardware Design To Generate Visual Stimulusmentioning

confidence: 99%

Toward a reliable PWM‐based light‐emitting diode visual stimulus for improved SSVEP response with minimal visual fatigue

Mouli

Palaniappan

2017

J. eng.

Self Cite

View full text Add to dashboard Cite

“…Experimental stimulator hardware was designed using a custom 32-bit microcontroller system [21] connected to the pedal switch sensors and two sets of MOSFET driver circuits as shown in Figure 2. Maximum turn-on delay for the MOSFET was negligible at only 55 ns.…”

Section: A Experimental Hardwarementioning

confidence: 99%

Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG

Palaniappan

Mouli

Bowman

et al. 2022

IEEE Trans. Intell. Transport. Syst.

Self Cite

View full text Add to dashboard Cite

Half of all road accidents result from either lack of driver attention or from maintaining insufficient separation between vehicles. Collision from the rear, in particular, has been identified as the most common class of accident in the UK, and its influencing factors have been widely studied for many years. Rear-mounted stop lamps, illuminated when braking, are the primary mechanism to alert following drivers to the need to reduce speed or brake. This paper develops a novel brain response approach to measuring subject reaction to different brake light designs. A variety of off-the-shelf brake light assemblies are tested in a physical simulated driving environment to assess the cognitive reaction times of 22 subjects. Eight pairs of LED-based and two pairs of incandescent bulb-based brake light assemblies are used and electroencephalogram (EEG) data recorded. Channel Pz is utilised to extract the P3 component evoked during the decision making process that occurs in the brain when a participant decides to lift their foot from the accelerator and depress the brake. EEG analysis shows that both incandescent bulb-based lights are statistically slower to evoke cognitive responses than all tested LED-based lights. Between the LED designs, differences are evident, but not statistically significant, attributed to the significant amount of movement artifact in the EEG signal.

show abstract

“…We deliberately did not present the stimulus using an LCD screen or computer display since they are restricted by screen refresh rates. Instead, flickers were generated using a green chip-on-board (COB) circular LED ring with a diameter of 130 mm as shown in Figure 3; this configuration was found to have the highest SSVEP performance in a previous study using scalp electrodes [22]. The hardware schematic for the flicker generator is shown in Figure 4, showing the 72 MHz Cortex-M4 based controller, which can generate very precise flicker signals.…”

Section: Hardware Designmentioning

confidence: 99%

In-Ear Electrode EEG for Practical SSVEP BCI

et al. 2020

Self Cite

View full text Add to dashboard Cite

Steady State Visual Evoked Potential (SSVEP) methods for brain–computer interfaces (BCI) are popular due to higher information transfer rate and easier setup with minimal training, compared to alternative methods. With precisely generated visual stimulus frequency, it is possible to translate brain signals into external actions or signals. Traditionally, SSVEP data is collected from the occipital region using electrodes with or without gel, normally mounted on a head cap. In this experimental study, we develop an in-ear electrode to collect SSVEP data for four different flicker frequencies and compare against occipital scalp electrode data. Data from five participants demonstrates the feasibility of in-ear electrode based SSVEP, significantly enhancing the practicability of wearable BCI applications.

show abstract

Radial photic stimulation for maximal EEG response for BCI applications

Abstract: The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.

Cited by 3 publications

References 19 publications

Toward a reliable PWM‐based light‐emitting diode visual stimulus for improved SSVEP response with minimal visual fatigue

Toward a reliable PWM‐based light‐emitting diode visual stimulus for improved SSVEP response with minimal visual fatigue

Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG

In-Ear Electrode EEG for Practical SSVEP BCI

Contact Info

Product

Resources

About