The Impact of Domain Shift on Predicting Perceived Sleep Quality from Wearables

The Impact of Domain Shift on Predicting Perceived Sleep Quality from Wearables

Machine learning models for personal informatics systems are typically trained offline on <i>records of a specific population of users</i>, resulting in <i>population models.</i> These models may suffer performance degradation in real-world settings due to <i>domain shi...

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Bibliografische gegevens
Hoofdauteurs: Nouran Abdalazim, Leonardo Alchieri, Lidia Alecci, Pietro Barbiero, Silvia Santini
Formaat: Artikel
Taal:Engels
Gepubliceerd in: MDPI AG 2025-06-01
Reeks:Sensors
Onderwerpen:
personal informatics systems
sleep behaviour monitoring
sleep quality recognition
dataset bias
domain shift
covariate shift
Online toegang:https://www.mdpi.com/1424-8220/25/13/4012
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