A Wrapper Feature Selection Algorithm: An Emotional Assessment Using Physiological Recordings from Wearable Sensors

A Wrapper Feature Selection Algorithm: An Emotional Assessment Using Physiological Recordings from Wearable Sensors

Assessing emotional state is an emerging application field boosting research activities on the topic of analysis of non-invasive biosignals to find effective markers to accurately determine the emotional state in real-time. Nowadays using wearable sensors, electrocardiogram and thoracic impedance me...

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Bibliographic Details
Main Authors: Inma Mohino-Herranz, Roberto Gil-Pita, Joaquín García-Gómez, Manuel Rosa-Zurera, Fernando Seoane
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
emotional assessment
physiological signal
feature selection
Online Access:https://www.mdpi.com/1424-8220/20/1/309

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