Home automation is stepping into the realm of data science and machine learning, but by doing so homes need to become smarter, utilizing sensors to track and analyze data. A crucial part in doing so is developing a home identity, or fingerprint through sensors that maps when a user is home and the environment they live in verses when a user is not home and the environment. This analysis will show use a fingerprint of attributes that help define the pattern of the home. Through this, it can be determined the typical temperature range in the home with a high and low value, average humidity, noise, how often the user is home, sleep patterns and much more. This is a concept that can be integrated into many technologies or home ecosystems.
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