The paper “metaFERA: a meta-framework for creating emotion recognition frameworks for physiological signals”, has been published in the Multimedia Tools and Applications Journal, a top-ranked journal (h5-index 96; Scimago Q1). MetaFERA, was developed by João Oliveira, former LASIGE MSc student, and LASIGE integrated researchers Soraia M. Alarcão, Teresa Chambel, and Manuel J. Fonseca.

The published work describes metaFERA, an open-source architectural meta-framework that allows developers to quickly and easily build end-to-end emotion recognition systems based on physiological signals. The framework is modular and flexible, making it easy to add new behavior to the pre-configured blocks and combine them to create new frameworks.

MetaFERA supports all steps of a traditional emotion recognition pipeline, and can process various types of physiological signals, either individually or simultaneously, making it a versatile tool for developing emotion recognition systems for a wide range of applications.

The paper is available here.