Aspects described herein relate to systems for detecting movement using “Received Signal Strength Indicator” (RSSI) values. Such values may be collected for various events over a short period of time in an environment and used to generate baseline histogram distributions. These distributions, in turn, may be used to categorize activity in that environment. In some instances, these distributions may be used to train statistical classifiers or machine learning models to learn and identify categories of activities given the baseline distributions. Thus, the RSSI values collected over a short period of time may be used to detect motion without requiring additional sensors and even to do such detection through visual barriers (e.g., through walls).

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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.