Now showing items 1-4 of 4

    • Emotion detecting humanoid – the use of GPSO Algorithm 

      Bashir, Mohammed Ghandi; Ramachandran, Nagarajan, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr. (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      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 ...
    • GPSO versus GA in facial emotion detection 

      Bashir, Mohammed Ghandi; Ramachandran, Nagarajan, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr. (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)
      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 ...
    • Lifting scheme for human emotion recognition using EEG 

      Murugappan, M., Dr.; Mohd Rizon, Mohamed Juhari; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Ibrahim, Zunaidi; Hazry, Desa, Assoc. Prof. Dr. (IEEE Conference Publications, 2008-08)
      In recent years, the need and importance of automatically recognizing emotions from EEG signals has grown with increasing role of brain computer interface applications. The detection of fine grained changes in functional ...
    • Real-time system for facial emotion detection using GPSO algorithm 

      Bashir, Mohammed Ghandi; R., Nagarajan, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2010-10-03)
      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 ...