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

  • January 24, 2012
    Integrated corridor management aids multi-modal transport planning
    Telvent’s Jorgen Pedersen and Tip Franklin discuss how integrated corridor management can create synergies within a multimodal transportation infrastructure, while promoting modal shift. The mantra ‘We cannot build ourselves out of congestion’ has long been stated and too often ignored. But with the economy in dire straits, funding deficits and pressure to reduce governmental spending, this is now being taken seriously by almost everyone who has an interest in the flow of traffic. By ‘everyone’ we include
  • July 14, 2014
    Big data helps San Diego optimise public transit
    San Diego Metropolitan Transit System (MTS) has turned to Cubic’s big data subsidiary Urban Insights to make better use of its data, according to a report in Information Week. The agency has disparate data sources, including a smart-card payment system, GPS-based automatic vehicle location devices on buses, automatic passenger counters on trolleys, and extensive route and schedule information formatted in the general transit feed specification (GTFS) format developed by Google in 2006. "We look at all
  • December 15, 2022
    Multimodal simulation helps to improve the airport experience
    The vision of the IMHOTEP project is a multimodal European transport system, where different modes of travel are seamlessly integrated to give passengers a great door-to-gate and gate-to-door experience. Marcel Sala, scientific researcher at Aimsun, explains how this works at airports
  • May 25, 2022
    Cubic’s holistic view of traffic management
    How can cities and transit agencies ease congested roadways? Andy Taylor of Cubic Transportation Systems suggests it would help to take a more holistic view of the problem