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JLR reveals ‘pioneering’ technology to reduce motion sickness

JLR motion sickness technology

Jaguar Land Rover says vehicles will be able to tell if you're feeling unwell and adjust settings to combat motion sickness.

Motion sickness affects more than 70% of people.

Spencer Salter, wellness technology researcher at Jaguar Land Rover, says that previously "little has been known about the causes and how to mitigate them".

Now, through its motion sickness research, Jaguar Land Rover has created an algorithm that generates a ‘wellness score’ for each passenger.

This can be used to automatically personalise a vehicle’s driving and cabin settings to reduce the effects of feeling car sick by up to 60%.

JLR has collected 15,000 miles of motion sickness data, enabling the creation of a baseline driving style for self-driving vehicles to work towards.

It hopes this should minimising the need for steering corrections and therefore the risk of motion sickness while passengers work or relax.

Salter said: “As we move towards an autonomous future where occupants will have more time to either work, read or relax on longer journeys, it's important we develop vehicles that can adapt to reduce the effects of motion sickness in a way that's tailored to each passenger.”

The ‘wellness score’ calculates how susceptible individual drivers and passengers are to feeling car sick, using biometric sensors that record physiological signals.

Combining this with motion and dynamics data, the vehicle will reliably know when a passenger or driver is becoming motion sick – before they do.

Jaguar Land Rover’s chief medical officer Dr Steve Iley said: “This cutting-edge research has created a solution that, with its solid scientific foundation, can make travelling enjoyable, regardless of your susceptibility to motion sickness.

“As a parent of young children, who are most susceptible to car sickness, I am particularly excited by the benefits this research can have in making long journeys comfortable and stress-free for families.”

The first phase of the research completes this month. The findings are already being implemented into further projects across its research.

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