Resilience of Machine Learning Models in Anxiety Detection: Assessing the Impact of Gaussian Noise on Wearable Sensors

The resilience of machine learning models for anxiety detection through wearable technology was explored. The effectiveness of feature-based and end-to-end machine learning models for anxiety detection was evaluated under varying conditions of Gaussian noise. By adding synthetic Gaussian noise to a...

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Detalhes bibliográficos
Main Authors: Abdulrahman Alkurdi, Jean Clore, Richard Sowers, Elizabeth T. Hsiao-Wecksler, Manuel E. Hernandez
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2024-12-01
Colecção:Applied Sciences
Assuntos:
Acesso em linha:https://www.mdpi.com/2076-3417/15/1/88