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Related Experiment Video

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SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

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Published on: November 24, 2015

In-Car Environment Control Using an SSVEP-Based Brain-Computer Interface with Visual Stimuli Presented on Head-Up

Seonghun Park¹, Minsu Kim², Hyerin Nam²

¹Department of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea.

Sensors (Basel, Switzerland)

|January 23, 2024

Summary

Drivers can now control in-car systems using a brain-computer interface (BCI) with steady-state visual evoked potential (SSVEP). This technology enhances driving safety by reducing distractions and improving reaction times in critical situations.

Keywords:

advanced driver assistance brain-computer interfaces (BCIs)head-up display (HUD)safe driving steady-state visual evoked potential (SSVEP)

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Area of Science:

Neuroscience and Human-Computer Interaction
Automotive Engineering and Safety

Background:

In-car environment control systems are essential for comfort but can distract drivers, increasing accident risk.
Traditional manual controls require visual and manual attention away from the road.

Purpose of the Study:

To implement and evaluate a novel in-car environment control system using a steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI).
To assess the impact of the SSVEP-BCI system on driving performance and safety compared to manual control.

Main Methods:

Developed an SSVEP-BCI system using visual stimuli presented on a head-up display (HUD) for intuitive control.
Conducted driving simulator tests, including obstacle avoidance and car-following scenarios.
Compared driving performance metrics (response time, no-response rate, speed difference) between SSVEP-BCI and manual control conditions.

Main Results:

SSVEP-BCI control resulted in significantly shorter response times in obstacle avoidance (1.42s vs 1.79s).
The no-response rate for obstacles was significantly lower with SSVEP-BCI (4.6% vs 20.5%).
Drivers exhibited a significantly smaller speed difference in the car-following test using SSVEP-BCI (15.65 km/h vs 19.54 km/h).

Conclusions:

The SSVEP-based BCI system offers a promising approach for controlling in-car environments without diverting driver attention.
This technology has the potential to enhance overall driving performance and contribute to safer roads by maintaining driver focus.
Future applications may include seamless integration into vehicles for improved driver experience and safety.