Key result
A multi-level assessment model using multimodal bio-sensors successfully classified mental stress levels and recommended appropriate wellness activities in a proof-of-concept test with four individuals.
Design
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Authors
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Should not yet guide clinical stress management; leaves open biosensor models for mental health research.
The study proposes a machine learning-based multi-level assessment model to quantify human mental stress using multimodal physiological sensors.
Jung et al. (2016) studied Mental stress (n=4). Multi-level assessment model using multimodal bio-sensors was evaluated on Mental stress ratio (MSR) classification and activity recommendation. A multi-level assessment model using multimodal bio-sensors successfully classified mental stress levels and recommended appropriate wellness activities in a proof-of-concept test with four individuals.
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