Browsing Hazry Desa, Associate Prof.Dr. by Author "s.yaacob@unimap.edu.my"

Now showing items 1-5 of 5

    • Extraction of head and hand gesture features for recognition of sign language 

      Paulraj, M. P.; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr.; Hema, Chengalvarayan Radhakrishnamurthy; Wan Mohd Ridzuan, Wan Ab Majid (IEEE Conference Publications, 2008)
      Sign language is the primary communication method that impaired hearing people used in their daily life. Sign language recognition has gained a lot of attention recently by researchers in computer vision. Sign language ...

    • Fuzzy clustering for genetic algorithm based optimized ellipse data in classifying face emotion 

      Karthigayan, Muthukaruppan; Mohamed, Rizon; Sazali, Yaacob, Prof. Dr.; Nagarajan, Ramachandran; Sugisaka, Masanori; Mohd Rozailan, Mamat, Prof. Madya Dr.; Hazry, Desa, Assoc. Prof. Dr. (IEEE Conference Publications, 2007)
      In this paper, lip and eye features are applied to classify the human emotion using a set of irregular and regular ellipse fitting equations using genetic algorithm (GA). A South East Asian face is considered in this study. ...

    • Gesture recognition system for Kod Tangan Bahasa Melayu (KTBM) using neural network 

      Paulraj, Murugesa Pandiyan, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr.; Wan Mohd Ridzuan, Wan Ab Majid (IEEE Conference Publications, 2009)
      This paper presents simple methods for translating Kod Tangan Bahasa Melayu (KTBM) into voice signal based on subject head and two hand gestures. Different gesture signs made by different subjects are captured using a USB ...

    • 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 ...

    • Time-frequency analysis of EEG signals for human emotion detection 

      Murugappan, Muthusamy, Dr.; M.Rizon; R., Nagarajan; Sazali, Yaacob, Prof. Dr.; Hazry, Desa, Assoc. Prof. Dr.; Zunaidi, Ibrahim (Springer Berlin Heidelberg, 2008)
      This paper proposes an emotion recognition system from EEG (Electroencephalogram) signals. The main objective of this work is to compare the efficacy of classifying human emotions using two discrete wavelet transform (DWT) ...