We recently proposed a modification to the widely known Particle Swarm Optimization (PSO) algorithm so that it can be applied as a method for facial emotion recognition. We named our proposed modification to PSO as the ...

This paper presents a novel approach to facial emotion detection using a modified Particle Swarm Optimization algorithm, which we called Guided Particle Swarm Optimization (GPSO). The approach involves tracking the movements ...

Recently, we implemented a real-time expert system that receives a live video stream of the face of a human subject and recognizes any of the six basic facial emotions expressed by the subject. The expert system ...

Particle Swarm Optimization (PSO) algorithm has been widely recognized as an efficient algorithm with applicability is many areas. Recently, we proposed the Guided Particle Swarm Optimization (GPSO) algorithm, which is a ...

In this paper, we present a novel approach to human facial emotion detection by applying a modified version of the Particle Swarm Optimization (PSO) algorithm, which we called Guided Particle Swarm Optimization (GPSO). ...

Particle Swarm Optimization (PSO) algorithm has been applied and found to be efficient in many searching and optimization related applications. In this paper, we present a modified version of the algorithm that we successfully ...

Emotion detection is receiving a lot of attention from researchers due to its potentials in improving humancomputer interaction. Recently, we proposed a modification to the Particle Swarm Optimization (PSO) algorithm for ...