US 2021/0174933 A1 · Social-Emotional Skills Improvement

Abstract

A method for improving social-emotional skills in a biological subject, including acquiring subject data indicative of a subject response to one or more social cues, deriving metrics from the subject data, including at least one response metric indicative of the subject response, applying the one or more metrics to a computational model to generate a skill state indicator relating to a social-emotional skills state of the subject, the at least one computational model embodying a relationship between social-emotional skill states and the one or more metrics, wherein the at least one computational model is obtained by applying machine learning to reference metrics derived from reference subject data measured for one or more reference subjects and using the skill state indicator to perform a therapeutic intervention to thereby improve the social-emotional skills of the subject.

Claims20

Dependent claims

A method for improving social-emotional skills in a biological subject, the method comprising:

acquiring subject data, the subject data being at least partially indicative of a subject response to one or more social cues;
deriving one or more metrics from the subject data, the one or more metrics including at least one response metric at least partially indicative of the subject response;
in one or more electronic processing devices, applying the one or more metrics to at least one computational model to generate a skill state indicator relating to a social-emotional skills state of the subject, the at least one computational model embodying a relationship between social-emotional skill states and the one or more metrics, wherein the at least one computational model is obtained by applying machine learning to reference metrics derived from reference subject data measured for one or more reference subjects;
and,
using the skill state indicator to perform a therapeutic intervention to thereby improve the social-emotional skills of the subject.

2 more elements

A method for calculating at least one computational model, the at least one computational model being used for generating a skill state indicator relating to a social-emotional skills state of a biological subject, the method comprising:

in one or more electronic processing devices:
for each of a plurality of reference subjects:
acquiring reference subject data at least partially indicative of:
a reference subject response to one or more social cues;
and,
an assessment of a reference social-emotional skills state for the reference subject;
and,
deriving one or more reference metrics from the reference subject data, the one or more reference metrics including at least one response reference metric at least partially indicative of the reference subject response;
and,
using the reference metrics and the assessed reference social-emotional skills states to train the at least one computational model so that the at least one computational model embodies relationships between different social-emotional skill states and the one or more metrics.

7 more elements

Dependencies are inferred from the claim text.

Social-Emotional Skills Improvement

Life of this patent

Social-Emotional Skills Improvement

Life of this patent

Abstract

Claims20