In order to better manage the stress of travelers, researchers from CEA Tech have developed an application that can determine the emotional state of the user according to the mode of transport taken to direct him to the one who will preserve his property the most. -be.
7:30 in the morning. Peak hour. The metro door has just closed just under your nose. Stuck in your compartment, you wonder if you would not have done better to opt for the bike … In order to increase the well-being of the travelers and to help them to make the good choice, the CEA Tech developed an application able to automatically identify the mode of transport used and measure the level of stress of their users. Called Mobility Observer, this observation tool, launched as part of the European project Bon voyage, is divided into two applications.
Differentiate train tram
The first, on smartphone, allows to detect the mode of transport borrowed by exploiting the sensors of the phone. ” We relied on sensors that consume less energy, such as accelerometers and magnetometers. Even GPS or Wi-Fi, found in any smartphone, “says Viviane Cattin, head of the laboratory signals and sensor systems of CEA Tech. The collected data feeds a learning algorithm to build a precise model, able to distinguish the subway train for example. “But this is still relatively complicated, says the scientist. Because they are two rail modes. Differentiation will not be done simply at the level of vibrations, but a set of measures describing the dynamics of movement. The tram marking for example more often stop than the train “. The team is still trying to establish the 20 parameters that will discriminate the different modes of transport. ” The difficulty is knowing which data to put in input of the algorithm
In parallel, a connected watch with biological data sensors will measure the state of stress of the user through indicators such as electrodermal activity or body temperature. The data of the two applications, once correlated, must make it possible to plan the optimum route in a personalized way and in real time. But, unlike existing applications that focus on travel time, it is the traveler’s well-being that must prevail. ” The emotional state, the level of fatigue … will be taken into account, ” says the researcher.
Today, the device is based on two applications. But in the future, there could be only one. The data collected is now stored in the watch or the phone, ” the user will therefore remain the owner. But it will still be possible to send them to a server, “says Viviane Cattin. This data could indeed interest communities that would like to offer new mobility services.