Determinations of Characteristics from Biometric Signals
AssigneeHewlett-Packard Development Company, L.P.
InventorsJishang Wei, Rafael Ballagas, Keanu Spies
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Abstract
An example system includes a plurality of biometric sensors to generate a plurality of signals. The system includes a feature engine to generate a plurality of feature vectors from the plurality of signals. The system includes a classifier engine to generate a plurality of decision vectors based on the plurality of feature vectors. The system includes an attention engine to weight the plurality of feature vectors and the plurality of decision vectors and determine a characteristic of a user based on the weighted feature and decision vectors.
Claims15
A system comprising:
- a plurality of biometric sensors to generate a plurality of signals;
- a feature engine to generate a plurality of feature vectors from the plurality of signals;
- a classifier engine to generate a plurality of decision vectors based on the plurality of feature vectors;
- and
- an attention engine to:
- weight the plurality of feature vectors and the plurality of decision vectors;
- and
- determine a characteristic of a user based on the weighted feature and decision vectors.
A method, comprising:
- measuring a first biometric signal and a second biometric signal from a user of a head-mounted display;
- generating a first decision vector based on the first biometric signal;
- generating a second decision vector based on the second biometric signal;
- generating a third decision vector based on the first and second biometric signals;
- weighting the first, second, and third decision vectors;
- determining a characteristic of the user based on the weighted first, second, and third decision vectors;
- modifying audio or video content based on the determined characteristic;
- and
- delivering the modified audio or video content to the user of the head-mounted display.
A non-transitory computer-readable medium comprising instructions that, when executed by a processor, cause the processor to:
- generate a first feature vector based on a first biometric signal;
- generate a second feature vector based on a second biometric signal;
- compute a decision vector based on the first feature vector using a classifier;
- calculate a first weighted vector based on the decision vector and a second weighted vector based on the second feature vector;
- and
- determine a characteristic of a user based on the first and second weighted vectors.
Dependencies are inferred from the claim text.