• Aucun résultat trouvé

Activity recognition in the city using embedded systems and anonymous sensors

N/A
N/A
Protected

Academic year: 2021

Partager "Activity recognition in the city using embedded systems and anonymous sensors"

Copied!
8
0
0

Texte intégral

Loading

Figure

Fig. 1: Picture of one of the 4 nodes used in the experiment.
Fig. 3: Data loss of the sensors as a function of Grid-EYE/LiDaR period (mic period = 10ms)

Références

Documents relatifs

It also contains fibers, which join the frontal lobe with the posterior part of the temporal and parietal lobes.” In terms of posterior density distribution, we showed that the

Finally, calculations of the far field amplitude produced by a partially illuminated FZP, have been used to support the reconstruction of the complex illumination function at the

To do this, we generate all possible combinations of metrics and create a data set for each combination (e.g. watch acceleration and heart rate, Wi-Fi access points and GPS speed

Model training and tests were performed offline. However, the classification task simulated online conditions since only the present data vector was known by the classifier. The

First, the heat flux across the contact surface between the reference and the test specimen is calculated using a numerical algorithm to solve the heat transfer equation through

Neanmoins, le travail expose dans cette these a montre qu'il est aussi performant pour la detection des evenements neutrinos contenus avec des energies comprises entre une dizaine

Nous avons développé une collaboration avec une statisticienne des ACTG (Heather Ribaudo) pour l’analyse de l’ACTG 5257. Les mé- thodes sont des méthodes