From e9402377449ad59a00ad7ee0ab768fc7b7ff7b5e Mon Sep 17 00:00:00 2001 From: Zheng Wang Date: Mon, 16 Jul 2018 18:03:40 +0100 Subject: [PATCH] readme --- README.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/README.md b/README.md index 2bf895b..1770cad 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,12 @@ ![Alt text](documentation/logo.png?raw=true "CrossSense") # CrossSense + +Jie Zhang, Zhanyong Tang, Meng Li, Dingyi Fang, Petteri Nurmi, Zheng Wang + +[Northwest University, China](http://www.nwu.edu.cn), [Lancaster University, UK](http://www.scc.lancs.ac.uk), [University of Helsinki, Finland](https://www.helsinki.fi/en) + + **CrossSense** is an open source framework for scaling up WiFi sensing to new environments and larger problems. It uses machine learning techniques to address the problem. To reduce the cost of sensing model training data collection, CrossSense employs machine learning to train, *off-line*, a roaming model to generate, from one set of measurements, synthetic training samples for each target environment. To scale up to a larger problem size, CrossSense adopts a mixture-of-experts approach where multiple specialized sensing models, or *experts*, are used to capture the mapping from diverse WiFi inputs to the desired outputs.