Skip to main content

Wearable device measures stress levels for travellers, truck drivers and pilots

France-based Leti, a technology research institute of CEA Tech, has designed a stress-monitoring wrist-band device for truck and train drivers, airline pilots and travellers that enables personalised real-time travel planning for stress-free travel and indicators for improving public transportation safety.
June 16, 2017 Read time: 2 mins

France-based Leti, a technology research institute of CEA Tech, has designed a stress-monitoring wrist-band device for truck and train drivers, airline pilots and travellers that enables personalised real-time travel planning for stress-free travel and indicators for improving public transportation safety.
.
The device uses sensors to provide real-time data-fusion processing that automatically estimates each wearer’s stress levels, regardless of their activity. The data are sent anonymously to the cloud where they can be used to improve both safety and comfort for users and, in some cases, for the general public.
 
AS an example, transit agencies can collect and analyse passengers’ comfort information and take appropriate action to eliminate potential problems. If customers experience higher stress than usual while getting off at a specific bus station, such as at a dangerous intersection, the agencies could follow up that finding with a study to verify the cause and provide a remedy.

The biofeedback from pilots, truck drivers and train engineers also can be used to improve safety. After graduating from simulators to real equipment during training, wearing the device will signal stress levels and indicate they should return to the simulator for more practice on certain aspects of their complicated jobs.

The mobility observer differentiates between travel modes such as buses and motorbikes, trains and trams by preserving device autonomy. The new connectivity features in the mobility observer enables officials to take into account a large amount of data versus data collected on single individuals.

Related Content

  • It’s official: 20 (or 30) really is plenty
    April 30, 2025
    A study has looked at what 20mph (30 km/h) speed limits mean in terms of road safety – and the answers are encouraging. Alan Dron speaks to transport researcher Aud Tennøy…
  • Autopilot highlights shape of Things
    March 30, 2020
    Driverless vehicles require rich data to operate safely, and a European consortium is harnessing the Internet of Things to help.
  • Detection analysis technology successfully predicts traffic flows
    February 3, 2012
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -
  • Monitoring and transparency preserve enforcement's reputation
    July 30, 2012
    What can be done to preserve automated enforcement's reputation in the face of media and public criticism? Here, system manufacturers and suppliers talk about what they think are the most appropriate business models. Recent events in Italy only served to once again to push automated enforcement into the media spotlight. At the heart of the matter were the numerous alleged instances of local authorities and their contract suppliers of enforcement services colluding to illegally shorten amber signal phase tim