Combined Lateral and Longitudinal Control of EEG Signals-Based Brain-Controlled Vehicles

Yun Lu, Luzheng Bi

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

Using brain signals rather than limbs to control a vehicle may not only help persons with disabilities to acquire driving ability, but also provide healthy persons with a new alternative way to drive. In this paper, we propose a combined lateral and longitudinal control system for electroencephalogram (EEG) signals-based brain-controlled vehicles (BCVs). The proposed system is designed by integrating a user interface, a brain-computer interface (BCI), a control interface model, a lateral controller, and a longitudinal controller. We conduct driver-and-hardware-in-the-loop experiments under two control conditions (i.e., the brain- and manual-control conditions) with different subjects and three driving tests (i.e., the lane-changing, path-selection, and car-following tests). Experimental results show the feasibility of using brain signals to continuously perform both the lateral and longitudinal control of a vehicle. This study not only promotes the development of BCVs, but also provides some insights on how to apply BCIs in conjunction with assistant controllers to control other dynamic systems.

Original languageEnglish
Pages (from-to)1732-1742
Number of pages11
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume27
Issue number9
DOIs
Publication statusPublished - 1 Sept 2019

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