System, method, and computer program product for the real-time mobile evaluation of physiological stress

A method comprising:

• collecting, in real-time, at least one of cardiovascular activity data of a user and skin conductance data of the user in addition to movement data of the user and skin temperature data of the user with a wearable sensor array in proximity with a section of skin of the user;
• classifying, in real-time, by a stress classifier, stress experienced by the user based on at least one of the cardiovascular activity data collected and the skin conductance data collected wherein the classifying, by the stress classifier, the stress experienced by the user comprises:
• classifying by a first stress classifier, the stress based only on one feature being a cardiovascular activity feature based on the cardiovascular activity data collected for a minute time interval when the skin conductance data is missing during the minute time interval;
• classifying by a second stress classifier, the stress based only on one feature being a skin conductance feature based on the skin conductance data for the minute time interval when the cardiovascular activity data is missing;
• and
• classifying by a third classifier, the stress based on a combination of the cardiovascular activity feature and the skin conductance feature during the minute time interval when both the cardiovascular activity data and the skin conductance data are available;
• wherein when the skin temperature data of the user exceeds a predefined threshold the first, the second and third stress classifiers cease to classify;
• scoring, an amount of the stress experienced in response to the classified stress;
• and
• reporting at least to the user the amount of the stress experienced.

A non-transitory processor readable storage medium, providing an executable computer program product, the executable computer program product comprising a computer software code that, when executed on a processor, causes the processor to:

• identify, in real-time, stress experienced by a user based on at least one of cardiovascular activity data collected and skin conductance data collected with a wearable sensor array proximate a section of skin of the user wherein, to identify, further causes the processor to:
• classify, by a first stress classifier, the stress based only on one feature being a cardiovascular activity feature based on the cardiovascular activity data for a minute time interval when the skin conductance data is missing during the minute time interval;
• classify, by a second stress classifier, the stress based only on one feature being a skin conductance feature based on the skin conductance data for the minute time interval when the cardiovascular activity data is missing;
• and
• classify, by a third classifier, the stress based on a combination of the cardiovascular activity feature and the skin conductance feature during the minute time interval when both the cardiovascular activity data and the skin conductance data are available;
• cease to identify by the first, the second and the third stress classifiers, in real-time, the stress experienced when the skin temperature data collected with the wearable sensor array proximate the section of skin of the user exceeds a predefined threshold;
• score, in real-time, an amount of the stress experienced by the user;
• and
• report at least to the user the amount of the stress experienced by the user.