Automatic detection of artifacts and improved classification models for emotional activity detection from multimodal physiological data
Sudarsan Prabhakaran,
Niranjil Kumar Ayyamperumal
Abstract:This manuscript proposes an automated artifacts detection and multimodal classification system for human emotion analysis from human physiological signals. First, multimodal physiological data, including the Electrodermal Activity (EDA), electrocardiogram (ECG), Blood Volume Pulse (BVP) and respiration rate signals are collected. Second, a Modified Compressed Sensing-based Decomposition (MCSD) is used to extract the informative Skin Conductance Response (SCR) events of the EDA signal. Third, raw features (edge… Show more
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