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

  • BlueTOAD discovers new data from undiscoverable devices
    June 1, 2015
    Building on its existing Dynaflow real-time data analysis and predictive traffic information system, TrafficCast is at ITS America to introduce the fourth version of its BlueTOAD spectra Bluetooth signal sensor technology.
  • Dynniq’s FlowSense gives green light for city mobility
    March 19, 2019
    Putting an end to traffic jams – including those involving freight - and improving the air people breathe are major goals for city authorities everywhere. With FlowSense, Dynniq thinks it may have some answers. Adam Hill asks how Sitting in traffic is top of the list of many commuters’ pet hates: a necessary evil, perhaps. But at least it doesn’t kill you - the same can’t be said of toxins in the air. Indeed, the World Health Organisation estimates that 4.2 million deaths worldwide are due to outdoor pol
  • Ride sharing services increase traffic, says Schaller Consulting
    August 1, 2018
    Ride sharing services such as Uber and Lyft, also called transportation network companies (TNC), are increasing congestion in US cities, says Schaller Consulting. The transport consultancy’s latest report reveals TNCs add 2.6 new vehicle miles on the road for each mile of personal driving removed, increasing driving on city streets by 160%. Called The New Automobility: Lyft, Uber and the Future of American Cities, the document combines research and data from a national travel survey to create a detailed
  • Dubai metro - the world's longest automated rail system
    July 31, 2012
    David Crawford reviews the recent opening of Dubai's Red Line. The US$7.6bn Dubai Metro, the Phase I Red Line of which started partial operation in September 2009, will be the world's longest driverless rail system on its planned completion in 2011. With a total length of some 75km, it will then overtake the 68.7km Vancouver SkyTrain and be able to carry over 1.2 million passengers on a typical day.