Abstract: A typing data analysis system may be used to accurately detect early onset of CNS diseases and psychiatric disorders based on typing data. The typing data analysis system may use distance based data analytics techniques to diagnose CNS diseases and psychiatric disorders with high accuracy. The distance based data analytics techniques may include a distance analysis that determines the distance between two or more sets of inconsistency measures that are associated with a particular individual, disease, or disorder. The distance between inconsistency measures for two or more diseases/disorders may be used to better differentiate between each disease/disorder. The distance between the inconsistency measures for an individual and a disease/disorder may help more accurately screen the individual for the disease/disorder.

Abstract: A typing data analysis system may be used to accurately detect early onset of CNS diseases and psychiatric disorders based on typing data. The typing data analysis system may determine typing cadence data and typing error data from typing data captured during normal, everyday typing activities including typing an email, blog, or text message. The typing cadence data and typing error data may be analyzed to determine typing based measures of different CNS diseases and psychiatric disorders. Typing based measures may be continuously determined from a patient's typing activities on the patient's personal computer, smartphone, or other commonly used device to monitor the patient's brain function over time. The typing based measures for the patient may be compared to profiles of CNS diseases and/or psychiatric disorders to screen the patient for a particular disease/disorder.

Abstract: A system and method for authenticating a user are disclosed. The system and method may use particular measurements, with high statistical powers based on keyboard typing and cadence to produce a way of authentication users which is many orders of magnitude better than existing methods.

Abstract: A system and method for authenticating a user through unique aspects of the user's keyboard are provided. The system and method measure particular aspects of the keyboard performance, which identifies each keyboard uniquely. Thus, the proper keyboard used when logging in to a service or a network can be authenticated.

Abstract: A system and method for continuous monitoring of central nervous system diseases are provided in which typing cadence is used to measure cognitive function at a very granular level, providing hard, specific and detailed data to the neurologists about the central nervous system diseases. The system may also be used by a patient with a central nervous system disease to experiment with changes to diet, exercise and other things and test the effectiveness of those changes and patients can understand better why an unexpected improvement or worsening occurred.

Abstract: A system and method for determining and monitoring a neurological disorder using key action cadence is disclosed.