What question did this study set out to answer?

The aim is to identify physiological and behavioral markers for stress using various data collection methods.

September 1, 2013

Stress Recognition Using Wearable Sensors and Mobile Phones

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Randomized trial identifies stress markers through wearable sensors and mobile data, suggesting new monitoring methods.

The aim is to identify physiological and behavioral markers for stress using various data collection methods.
Collected 5 days of data from 18 participants using wrist sensors and mobile phone usage data.
Applied correlation analysis and machine learning for stress classification based on collected data.
Compared accuracy of machine learning classification to baseline survey accuracy of 87.5%.
Achieved over 75% accuracy in stress classification using mobile data features.
Correlation analysis indicated higher stress levels were linked to increased activity levels and SMS usage.
Some mobile data features outperformed the baseline accuracy in classifying stress.

Sano et al. (2013) studied this question.

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