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

  • August 20, 2014
    Performance indicators help differentiate between truck tolling systems
    Traffic Quality Management Karl Ernst Ambrosch talks to ITS International about a new KPI-based methodology for assessing the efficacy of electronic toll collection schemes The debate over which is the ‘best’ solution for applications such as truck tolling is now years old.
  • March 2, 2022
    Want intelligent transit? Then share data
    How will the US deploy intelligent transit networks that enable connected vehicles? Data sharing is crucial if urban mobility users are to benefit, explains Timothy Menard of Lyt
  • May 31, 2013
    Assessing driver behaviour in work zones
    David Crawford looks at moves to increase throughput and safety in work zones.
  • March 18, 2014
    Wider uses for weigh in motion data
    Colin Sowman talks to Terry Bergan of International Road Dynamics about the latest uses of weigh-in-motion systems. Raising allowable truck weight limits improve transport efficiency but leaves an ever-increasing number of bridges vulnerable to being overloaded and damaged by vehicles heavier, and in some cases far heavier, than they were designed to carry. The simplistic solution is to impose weight restrictions and erect appropriate signs - but this could have severe knock-on effect on trucking operations