Described herein are biometric identification systems and methods that use a set of finely spaced analog sensors to generate and record a unique dynamic pressure user profile. The pressure profile is evaluated based on data from a trained model that comprises a number of personal biometric characteristics used to uniquely identify a person, e.g., for authentication purposes, such as granting access to sensitive, confidential information in connection with an electronic commercial transaction, an Internet of Things (IoT) device, an automotive device, an identity and access management (IAM), or a robotic or high functioning touch sensing device.