Wearables to detect independent variables, objective task performance, and metacognitive states

Wearables to detect independent variables, objective task performance, and metacognitive states

Wearable biometric tracking devices are becoming increasingly common, providing users with physiological metrics such as heart rate variability (HRV) and skin conductance. We hypothesize that these metrics can be used as inputs for machine learning models to detect independent variables, such as tar...

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Bibliographic Details
Main Authors: Matthew S. Daley, Jeffrey B. Bolkhovsky, Rachel Markwald, Timothy Dunn
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Machine Learning with Applications
Subjects:
Wearable technologies
Predictive modeling
Metacognition
Supervised learning
Support vector machines
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827024000057

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http://www.sciencedirect.com/science/article/pii/S2666827024000057

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