Feature Extraction and Selection for Pain Recognition Using Peripheral Physiological Signals
Abstract
In pattern recognition, the selection of appropriate features is paramount to both the performance and the robustness of the system. Over-reliance on machine learning-based feature selection methods can, therefore, be problematic; especially when conducted using small snapshots of data. The results of these methods, if adopted without proper interpretation, can lead to sub-optimal system design or worse, the abandonment of otherwise viable and...
Paper Details
Title
Feature Extraction and Selection for Pain Recognition Using Peripheral Physiological Signals
Published Date
May 7, 2019
Journal
Volume
13
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