We are interested in participating in any project where we can use and improve our expertise in the following domains:
- Android. By developing our prototypes mostly on Android, we have acquired a good expertise in this language and specifically in two fields. The first is the global design and the user interfaces, since we participate as final integrator in some projects. The second domain concerns the hardware, where we analyse and combine sensor's data. Developments on other platforms such as iPhone are usually done with the help of our industrial partners.
- Positioning. We are interested in all indoor and outdoor positioning techniques, going from classical solutions like Bluetooth or Wi-Fi fingerprinting, to more advanced techniques like the ones using the distortions of the magnetic field inside buildings. Even if we develop also our own positioning techniques, our main added value remains the integration of existing ones in a harmonized way, like we do it with our internal product GPM.
- Localization. While our expertise on positioning is oriented towards human users, the localization domain concerns mostly objects. We are interested by standard technologies, like these little RFID stickers we paste on any kind of objects, but also on more complex and active radio emitters that offer higher accuracy and wider detection range.
- Maps and navigation. We deal with indoor and outdoor maps as well as with all the GIS (Geographical Information System) related techniques, like the treatment of POIs (Points Of Interest). On top of these maps we study different indoor and outdoor navigation systems, most of the time adapted to pedestrians or public transportation users. We develop internally a module that allows switching between different kind of maps and offers some geographical features. This module is GMA.
- Mobile sensors. Modern smartphones contain many sensors, like an accelerometer, a gyroscope or an atmospheric pressure chip, from where we are able to extract raw data and compute useful information. For instance, in our BehaviourMod project, we are able to determine the kind of activity a user is currently doing while having his smartphone in the pocket.
- Geographical trust engines. A geographical trust engine is a tool able to compute how reliable collaborative GIS data is. For that it creates a trust network between the different users according to their actions. Based on the human model of trust, the engine creates virtual communities of people behaving in a similar way. A good example is our FoxyTag project, a worldwide collaborative speed camera warning system where the trust links tied between the drivers help them to get data that is more and more reliable.
- Behaviour analysis. By combining different contextual data, such as position and time, we can detect unusual behaviours. For instance in our AAL (Assisted Ambient Living) projects we can report if a senior is spending too much time in the bathroom or if he doesn't pass by the kitchen for several days.