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Better stress management for travelers

An innovative system for monitoring travelers’ stress levels has been developed. The system automatically assesses travelers’ stress levels and determines the types of transportation being used. The data can be used to generate real-time recommendations for the optimal travel solution. 

Published on 12 September 2017

The traveler stress monitoring system developed under EU Horizon 2020 project

Bon Voyage  is expected to give municipalities actionable data they can use to come up with new transportation-related services. CEA Tech institute Leti is a member of the project consortium.

The researchers used existing technologies to build the Mobility Observer, an application that can very accurately determine the type of transportation a person is using. "We took advantage of the most energy-efficient commercial sensors on the market—the accelerometers, magnetometers, and, in some cases, GPS and Wi-Fi, already used in smartphones—to extract signatures characteristic of different types of transportation," said a researcher. "The data goes into a learning algorithm that gradually builds an accurate model capable of distinguishing between a train, subway, and tramway or—in the future—between a traditional and electric vehicle." The researchers also developed a second application that processes signals (like heart rate and electrodermal activity) from biological sensors. The tool combines data fusion and signal processing technologies to generate indicators of users' stress levels. A laboratory prototype was validated for transportation applications.

Together, the applications could give municipalities the kind of real-time data they need to gain valuable insights into user habits and come up with more advanced, better-targeted transportation services.

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