Integrated platform to monitor and analyze individual progress in physical and cognitive tasks
AssigneeHRL Laboratories, LLC
InventorsVincent De Sapio, Stephanie E. Goldfarb, Matthias Ziegler
Life of this patent
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Abstract
Described is a system for online characterization of biomechanical and cognitive factors relevant to physical rehabilitation and training efforts. A biosensing subsystem senses biomechanical states of a user based on the output of sensors and generates a set of biomechanical data. The set of biomechanical data is transmitted in real-time to an analytics subsystem. The set of biomechanical data is analyzed by the analytics subsystem, and control guidance is sent through a real-time control interface to adjust the user's motions. In one aspect control guidance is sent to a robotic exoskeleton worn by the user to adjust the user's motions.
Claims20
A system for assessing individual progress in physical and cognitive tasks, the system comprising:
- one or more processors and a non-transitory computer-readable medium having executable instructions encoded thereon such that when executed, the one or more processors perform an operation of:
- sensing, with a biosensing subsystem, cognitive and biomechanical states of a user based on output of a plurality of sensors, resulting in a set of cognitive data and a set of biomechanical data;
- generating a predictive model of cognitive performance using the set of cognitive data;
- performing a neuromechanical simulation in an analytics subsystem using the set of biomechanical data, resulting in generated estimates of hidden biomechanical state variables;
- generating a predictive model of biomechanical performance;
- comparing the set of biomechanical data and the estimates of hidden biomechanical state variables with archived user data;
- using the predictive model of cognitive performance and the predictive model of biomechanical performance, determining a physiological state of the user;
- generating real-time performance feedback from the predictive model of cognitive performance and the predictive model of biomechanical performance;
- generating control guidance based on the real-time performance feedback and the physiological state of the user;
- and
- sending the control guidance through a real-time control interface to induce a user motion.
A computer-implemented method for assessing individual progress in physical and cognitive tasks, comprising:
- an act of causing one or more processors to execute instructions stored on a non-transitory memory such that upon execution, the one or more processors perform operations of:
- sensing, with a biosensing subsystem, cognitive and biomechanical states of a user based on output of a plurality of sensors, resulting in a set of cognitive data and a set of biomechanical data;
- generating a predictive model of cognitive performance using the set of cognitive data;
- performing a neuromechanical simulation in an analytics subsystem using the set of biomechanical data, resulting in generated estimates of hidden biomechanical state variables;
- generating a predictive model of biomechanical performance;
- comparing the set of biomechanical data and the estimates of hidden biomechanical state variables with archived user data;
- using the predictive model of cognitive performance and the predictive model of biomechanical performance, determining a physiological state of the user;
- generating real-time performance feedback from the predictive model of cognitive performance and the predictive model of biomechanical performance;
- generating control guidance based on the real-time performance feedback and the physiological state of the user;
- and
- sending the control guidance through a real-time control interface to induce a user motion.
A computer program product for assessing individual progress in physical and cognitive tasks, the computer program product comprising computer-readable instructions stored on a non-transitory computer-readable medium that are executable by a computer having one or more processors for causing the processor to perform the operations of:
- sensing, with a biosensing subsystem, cognitive and biomechanical states of a user based on output of a plurality of sensors, resulting in a set of cognitive data and a set of biomechanical data;
- generating a predictive model of cognitive performance using the set of cognitive data;
- performing a neuromechanical simulation in an analytics subsystem using the set of biomechanical data, resulting in generated estimates of hidden biomechanical state variables;
- generating a predictive model of biomechanical performance;
- comparing the set of biomechanical data and the estimates of hidden biomechanical state variables with archived user data;
- using the predictive model of cognitive performance and the predictive model of biomechanical performance, determining a physiological state of the user;
- generating real-time performance feedback from the predictive model of cognitive performance and the predictive model of biomechanical performance;
- generating control guidance based on the real-time performance feedback and the physiological state of the user;
- and
- sending the control guidance through a real-time control interface to induce a user motion.
Dependencies are inferred from the claim text.