Abstract: 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.

Abstract: Described herein are systems and methods for secure biometric identification using dynamic pressure sensing that are convenient and intuitive to use. Accurate identification is accomplished by using a set of finely spaced analog sensors that measure and output a dynamic pressure profile that is then evaluated based on data from a trained model. The model comprises a number of personal biometric characteristics that may be 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.

Abstract: Described herein are systems and methods for secure biometric identification using dynamic pressure sensing that are convenient and intuitive to use. Accurate identification is accomplished by using a set of finely spaced analog sensors that measure and output a dynamic pressure profile that is then evaluated based on data from a trained model. The model comprises a number of personal biometric characteristics that may be 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.

Abstract: 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.