Grenoble Alpes University
DyLNet is a research project jointly conducted by the University of Grenoble Alpes and INRIA Lyon, funded by the French National Research Agency, which aims to understand how the relationships between children and the relationships between children and adults in nursery school influence the development of oral language.
It relies on a system of continuous data collection, over a long period of time, regarding proximities and verbal exchanges between individuals.
The project aims to equip a large sample of more than 200 people (children and adults of a nursery school).
…adults in the simplest, least intrusive and most reliable way possible. Another challenge is to be able to process these data in the most reliable and efficient way possible. We can rely on the solution developed by SEQUANTA, combining wireless technology, sensor networks and the power of complex data processing and analysis in the field, to link social interactions with linguistic performance, and childish sociolinguistic uses.
Wireless system, data collection of proximities and verbal exchanges between individuals
The Edge Computing solution offered by SEQUANTA is based on wireless sensors to collect proximity data and record verbal exchanges. These sensors are associated with a custom gateway solution based on the SEQUANTA Core platform for data collection, processing and formatting.
Design and supply of 2 wireless adhoc sensors (+200 units):
- Miniature wireless sensor for proximity data collection
- Wireless miniature sensor for proximity data collection and stereo voice recording
Design and delivery of a gateway solution based on the SEQUANTA Core platform and a Linux kernel:
- Collection and processing of proximity data and voice recordings
- Formatting and presentation of data
- Hub for reloading and synchronizing sensors