  The scarcity of Smart Home data is still a pretty big problem, and in a world
where the size of a dataset can often make the difference between a poor
performance and a good performance for problems related to machine learning
projects, this needs to be resolved. But whereas the problem of retrieving real
data can't really be resolved, as most of the time the process of installing
sensors and retrieving data can be found to be really expensive and
time-consuming, we need to find a faster and easier solution, which is where
synthetic data comes in. Here we propose BinarySDG (Binary Synthetic Data
Generator) as a flexible and easy way to generate synthetic data for binary
sensors.
