Many passengers suffer a sense of dizziness and motion sickness which makes any attempt to enjoy the ride, or to work while on the road, difficult or near to impossible. In this line, ZF in cooperation with neuro-technologists is working toward pre-empting and counteracting motion sickness.
For this the company is looking beyond a purely vehicle-based approach. The scientific basis for this concept is derived from test candidate studies that were conducted jointly by the Systems Neuroscience & Neurotechnology Unit (SNNU) at the Saarland University and htw saar. In these studies, the physiological reactions of test candidates were examined in a variety of driving situations.
In several studies, the researchers at ZF and SNNU analyzed the physiological markers that show the highest correlation with the subjective perception of motion sickness by individuals. They also examined how this correlates to the driving dynamics of a vehicle. Physiological indicators are among other changes in the body such as temperature and galvanic skin response.
Over more than ten thousand kilometers, the team of researchers gathered more than fifty thousand gigabytes of physiological markers in the central and autonomous nervous system in the form of thermographics, imagery, and driving dynamic data. In this sector, this is a unique and multi-modal data resource on the subject of motion sickness. The research currently employs a set of sensors inside the vehicle along wearables for non-invasive measurement.
Everyone reacts differently to vehicle movements, and possesses an individual sense of ride comfort. At ZF, this fact is depicted in an algorithm based on Artificial Intelligence methods that acquire knowledge of the physical reactions of each passenger, enabling a personalized profile to be created. As a consequence of this, individual data is obtained for every passenger in a vehicle, meaning that automated vehicles would actually be able to store the preferred driving style of each passenger.
Source: Press Release