Sensor fusion of physiological and machine-interface factors as a biometric

Abstract

A biometric computing system obtains, via an inertial sensor, time-based inertial measurement data with respect to a human subject located on-board an aircraft for each of a plurality of on-board sessions with one or more aircraft. The time-based inertial measurement data may be transformed for each on-board session to a common reference frame that is shared by the plurality of on-board sessions. The transformed data of the plurality of on-board sessions are combined to obtain a time-based inertial measurement profile for the human subject. The biometric computing system further obtains, via a range of motion sensor, force-based range of motion measurement data with respect to the human subject interacting with a physiological measurement device across a range of motion. The force-based range of motion measurement data is combined with the time-based inertial measurement profile for the human subject to obtain a combined measurement profile for the human subject.

1 . A computing system, comprising:
 a logic machine including one or more logic devices; and   a data storage machine including one or more data storage devices having instructions stored thereon executable by the one or more logic devices of the logic machine to:
 obtain, via one or more inertial sensors, time-based inertial measurement data with respect to a human subject over a period time for each of a plurality of human activity sessions of the human subject; 
 store the time-based inertial measurement data in a database system of the data storage subsystem in association with an identifier of the human subject and an identifier of each of the plurality of human activity sessions; 
 selectively transform the time-based inertial measurement data for each human activity session from a session-specific reference frame in multi-dimensional space to a common reference frame in multi-dimensional space that is shared by the plurality of human activity sessions; 
 combine the transformed time-based inertial measurement data for each human activity session of the plurality of human activity sessions to obtain a time-based inertial measurement profile for the human subject that represents an accumulation of loading experienced by the human subject for the plurality of human activity sessions; 
 obtain, via the one or more range of motion sensors, force-based range of motion measurement data with respect to the human subject interacting with an instance of a physiological measurement device across a range of motion; 
 store the force-based range of motion measurement data in the database system in association with the identifier of the human subject; 
 combine the force-based range of motion measurement data with the time-based inertial measurement profile for the human subject to obtain a combined measurement profile for the human subject; 
 store the combined measurement profile in the database system in association with the identifier of the human subject; and 
 output the combined measurement profile with the identifier of the human subject via a user interface of the computing system.