Disclosed herein are systems, devices, and methods for measuring sensor data of a user seated on a
toilet and using statistical models and / or
machine learning to detect / identify the user based on the measured sensor data. In some embodiments, the systems described herein can include multiple sensors, including force sensors, ECG sensors, PPG sensors, and other sensors, located within and / or integrated into the
toilet. The sensors can measure and / or
record sensor data, including load and force, BCG data, ECG data, PPG data, bioimpedance, etc., and can determine one or more physiological parameters and / or characteristics about the user based on the sensor data. The
system can further be configured to associate the measured sensor data and biological conditions and / or characteristics with a
user identifier, such that the user can be identified by comparing the
user identifier with sensor data measured while the subject (e.g., an unknown subject) is seated on the
toilet.