Brain-Machine Interface for drivers
Nissan is undertaking this pioneering work in collaboration with the École Polytechnique Fédérale de Lausanne in Switzerland (EPFL). Far reaching research on Brain Machine Interface (BMI) systems by scientists at EPFL already allows disabled
users to manoeuvre their wheelchairs by thought transference alone. The next stage is to adapt the BMI processes to the car – and driver – of the future.
Professor José del R. Millán, leading the project, said: “The idea is to blend driver and vehicle intelligence together in such a way that eliminates conflicts between them, leading to a safer motoring environment.”
Although thought control – via brain-machine interface – is well established in the scientific world, the levels of concentration needed are exceptionally high. The Nissan/EPFL collaboration is developing systems that go to the next stage using
statistical analysis to predict a driver’s intentions and to evaluate a driver’s cognitive state relevant to the driving environment.
Using brain activity measurement, eye movement patterns and by scanning the environment around the car in conjunction with the car’s own sensors, it should be possible to predict what the driver plans to do – be it a turn, an overtake, a lane
change – and then assist with the manoeuvre in complete safety, thus improving the driving experience.
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|Ricardo Chavarriaga||Zahra Khaliliardali||Huaijian Zhang||José del R. Millán|