Bashir Mohammed Ghandi

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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 modification to PSO designed for facial emotion detection. GPSO involves keeping track of relevant points, called Action Units (AUs),(More)
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 applied to facial emotion detection. Our approach is based on tracking the movements of facial action units (AUs) placed on the face(More)
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 the purpose applying it to emotion detection. Our algorithm, which we called Guided Particle Swarm Optimization (GPSO), involves studying(More)
Recently, we have proposed the Guided Particle Swarm Optimization (GPSO) algorithm as a novel approach in facial emotion recognition. GPSO was a modification to the Particle Swarm Optimization (PSO) algorithm, which is widely recognized as an efficient optimization algorithm with applicability in many areas. While the results we obtained from the real-time(More)
The use of a vitamin derivate (chlormethiazole) in anaesthesia. Owing to its hypnotic properties and its wide margin of safety, "chlormethiazole" (a derivate of vitamin B1) was used in 30 patients which underwent varying surgical procedures. Since the drug exhibits no analgetic effect, fentanyl was added to maintain a sufficient depth of anesthesia. The(More)
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