Abstract: To identify physiological states that are predictive of a person's performance, a system provides physiological and behavioral interfaces and a data processing pipeline. Physiological sensors generate physiological data about the person while performing a task. The behavioral interface generates performance data about the person while performing the task. The pipeline collects the physiological and performance data along with reference data from a population of people performing the same or similar tasks. In various implementations, the physiological states are brain states. In one implementation, the pipeline computes bandpower ratios.

Abstract: To identify physiological states that are predictive of a person's performance, a system provides physiological and behavioral interfaces and a data processing pipeline. Physiological sensors generate physiological data about the person while performing a task. The behavioral interface generates performance data about the person while performing the task. The pipeline collects the physiological and performance data along with reference data from a population of people performing the same or similar tasks. In various implementations, the physiological states are brain states. In one implementation, the pipeline computes bandpower ratios.

Abstract: To identify physiological states that are predictive of a person's performance, a system provides physiological and behavioral interfaces and a data processing pipeline. Physiological sensors generate physiological data about the person while performing a task. The behavioral interface generates performance data about the person while performing the task. The pipeline collects the physiological and performance data along with reference data from a population of people performing the same or similar tasks. In various implementations, the physiological states are brain states. In one implementation, the pipeline computes bandpower ratios.

Abstract: Disclosed is a method for minimizing computational resources when copying data. The method includes: receiving a first set of data from a first data source including portions (a) used to compute a well-being scoring, and (b) not used to compute the well-being scoring; copying non-numerical data items included in the portion used to compute the well-being scoring to an aggregate data structure; and, for each numerical data item in the portion used to compute the well-being scoring: assigning a first data type to the numerical data item if it complies with the first data type, otherwise assigning a second data type to the numerical data item, where the first data type uses less bytes than the second data type, and copying, by the processor, the numerical data item to the aggregate data structure, wherein the well-being scoring is calculated for the member based on the aggregate data structure.

Abstract: To identify physiological states that are predictive of a person's performance, a system provides physiological and behavioral interfaces and a data processing pipeline. Physiological sensors generate physiological data about the person while performing a task. The behavioral interface generates performance data about the person while performing the task. The pipeline collects the physiological and performance data along with reference data from a population of people performing the same or similar tasks. In various implementations, the physiological states are brain states. In one implementation, the pipeline computes bandpower ratios.

Abstract: Disclosed is a method for minimizing computational resources when copying data. The method includes: receiving a first set of data from a first data source including portions (a) used to compute a well-being scoring, and (b) not used to compute the well-being scoring; copying non-numerical data items included in the portion used to compute the well-being scoring to an aggregate data structure; and, for each numerical data item in the portion used to compute the well-being scoring: assigning a first data type to the numerical data item if it complies with the first data type, otherwise assigning a second data type to the numerical data item, where the first data type uses less bytes than the second data type, and copying, by the processor, the numerical data item to the aggregate data structure, wherein the well-being scoring is calculated for the member based on the aggregate data structure.