Biometric data to facilitate learning
AssigneeHewlett-Packard Development Company, L.P.
InventorsLei Liu, Tong Zhang, Steven J Simske
Life of this patent
Estimating the term…
Abstract
A system that uses biometric data to facilitate learning is provided herein. The system receives at least two data points via a biometric sensor. Information is extracted from the at least two data points and a set of features are identified. Data analysis is then performed on the set of features.
Claims16
A system for using biometric data to facilitate learning by
- an individual, the system comprising:
- a data acquisition engine to obtain at least two data points from biometric sources that monitor the individual while the individual consumes content, wherein the biometric sources include a facial sensor;
- a data aggregation engine to gather a filtered biometric data set by extracting a collection of learning data from the at least two data points;
- a signal processing engine to:
- identify a set of features selected from the filtered biometric data set;
- and
- a data analysis engine to apply a predictive machine learning model to correlate the set of features to a measure of comprehension of the content by the individual, wherein the predictive machine learning model maps facial changes to measures of comprehension.
A non-transitory computer-readable storage medium encoded with instructions that, when executed by a processor performs a method, causes the process to:
- receive at least two data points via a biometric sensor that monitors an individual while the individual consumes content, wherein the biometric sensors include a facial sensor;
- extract a collection of learning data from the at least two data points;
- identify a set of features from the collection of learning data and perform feature reduction on the set of features;
- apply a predictive machine learning model to analyze the set of features after the feature reduction to correlate the set of features to a measure of comprehension of the content by the individual, wherein the predictive machine learning model maps facial changes to measures of comprehension.
A method to use biometric data to facilitate learning by an individual, the method comprising:
- obtaining at least two types of biometric data via a sensing device that monitors the individual while the individual consumes content;
- extracting a collection of learning data from the at least two types of biometric data;
- selecting a set of features to represent the collection of learning data and removing features from the set of features to form a subset of the set of features;
- and
- applying, by a data analysis engine, a predictive machine learning model to correlate the subset of the set of features to a measure of comprehension of the content by the individual.
Dependencies are inferred from the claim text.