There are 8 Results with the keyword : "Sensors"
A joint study of the interactions between all the people in a hospital, the i-Bird (Individual-based Investigation of Resistance Dissemination) experiment has helped identify the factors involved in the spread and transmission of bacteria that cause nosocomial infections. The results confirm that new technologies may be useful in analysing epidemics. The initial results of this research project, led by teams at Inserm, the Institut Pasteur, ENS Lyon and Inria in conjunction with the AP-HP at the Hôpital Maritime de Berck-sur-Mer (Pas-de-Calais) have just been published in PLOS Computational Biology.
Rencontre Inria - Industrie
APISENSE is a middleware platform enabling crowd-sensing by federating volunteer smartphones to collect significant datasets in the field using surveys or sharing sensor data and guaranteeing the respect for their private life. The APISENSE® platform facilitates collection, storage and contributed data processing by a crowd of users. Based on the Web standards and deployed in the Cloud, APISENSE® allows to handle large volume of data that can be returned to various stakeholders and under different forms.
Cities, IoT and Analytics
We propose a demonstration of The VITAL platform.
This platform erases the frontiers between the silos that confine connected devices for specific applications only to allows heterogeneous data to be shared and enhanced services.
Thomas Watteyne is a member of the Eva team at Inria Paris. In 2016, as part of the "Save the peaches" project, he equipped Argentinian orchards with sensors in order to predict the arrival of frost and save the crops. The team is now planning to use the same technology in order to predict snow melt in the Sierra Nevada.
Robotics, which for a long time has been limited to performing repetitive tasks in controlled environments, has made great strides and is now breaking into all areas of society, particularly in order to perform useful services for the well-being of humans and their environment.
- Human-computer interaction
- Resilient robot
- Inria Nancy - Grand Est centre
- Technology platforms
Capturing posture, gesture and motion of the human body is proving useful in a variety of fields such as sports training or physical medicine and rehabilitation. But how to collect the data without resorting to cumbersome paraphernalia? A network of wireless sensors also known as Body Area network (BAN) is a promising alternative. However, power consumption remains very much an issue. Developed by a group of French researchers, Zyggie is an innovative BAN platform that leverages distributed computation as well as radio communication distance measurement in order to reach a much higher level of energy efficiency.
A joint study of the interactions between all the people in a hospital, the i-Bird (Individual-based Investigation of Resistance Dissemination) experiment has helped identify the factors involved in the spread and transmission of bacteria that cause nosocomial infections. The results confirm that new technologies may be useful in analysing epidemics.
Rencontres Inria Industrie
L'équipe NeCS présentera deux applications web basées sur l'état du trafic en temps réel que les émissions de polluants sur la Rocade Sud de Grenoble.