Browsing Ramachandran, Nagarajan, Prof. Dr. by Author "Nagarajan, Ramachandran, Prof. Dr."

Now showing items 1-11 of 11

    • Brain machine interface: Analysis of segmented EEG signal classification using short-time PCA and recurrent neural networks 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesa Pandiyan, Assoc. Prof.; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Prof. Madya (University of Basrah, 2008)
      Brain machine interface provides a communication channel between the human brain and an external device. Brain interfaces are studied to provide rehabilitation to patients with neurodegenerative diseases; such patients ...

    • Combining spatial filtering and wavelet transform for classifying human emotions using EEG Signals 

      Murugappan; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. Dr. (Biomedical Engineering Society of the R.O.C., 2011)
      In this paper, we present human emotion assessment using electroencephalogram (EEG) signals. The combination of surface Laplacian (SL) filtering, time-frequency analysis of wavelet transform (WT) and linear classifiers are ...

    • Comparison of different wavelet features from EEG signals for classifying human emotions 

      Murugappan, Muthusamy, Dr.; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Electronics Engineering (IEEE), 2009-10-04)
      In recent years, estimation of human emotions from Electroencephalogram (EEG) signals plays a vital role on developing intellectual Brain Computer Interface (BCI) devices. In this work, we have collected the EEG signals ...

    • Detection of facial changes for hospital ICU patients 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Nagarajan, Ramachandran, Prof. Dr.; Hariharan, M. (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
      This paper presents an integrated system for detecting facial changes of patient in a hospital in Intensive Care Unit (ICU). The facial changes are most widely represented by eyes and mouth movements. The proposed system ...

    • Facial emotion detection using GPSO and Lucas-Kanade algorithms 

      Bashir, Mohammed Ghandi; Nagarajan, Ramachandran, Prof. Dr.; Hazry, Desa, Prof. Madya Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-11)
      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 ...

    • Fuzzy variable structure control of dynamical systems with an application to micro satellite stabilization 

      Rusli, R.; Nagarajan, Ramachandran, Prof. Dr.; Muhajir, Rahim; Zuraidah, Md. Zain, Prof. Dr. (Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)
      This paper is on determining a hybrid form of control which has both Fuzzy Logic Control (FLC) and Variable Structure Control (VSC) integrated. This proposed Fuzzy Variable Structure Control (FVSC) approach combines the ...

    • An investigation on visual and audiovisual stimulus based emotion recognition using EEG 

      Murugappan, M.; Mohd Rizon, Mohammed Juhari; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. (Inderscience Enterprises Ltd., 2009-01)
      In this paper, we investigate the possibility of using visual and audio visual stimulus for detecting the human emotion by measuring electroencephalogram (EEG). Visual and audiovisual stimulus based protocols is designed ...

    • 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 ...

    • Patient monitoring in ICU under unstructured lighting condition 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Nagarajan, Ramachandran, Prof. Dr.; Hariharan, Muthusamy, Dr. (IEEE Conference Publications, 2010-10)
      In this paper, fuzzy classifier is explained and reviewed for detecting facial changes of patient in a hospital in Intensive Care Unit (ICU). The facial changes are most widely represented by eyes and mouth movements. The ...

    • Reckoning of facial grimacing scheme for patient agitation in critical care 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Nagarajan, Ramachandran, Prof. Dr. (Science Academy Publisher, 2011-03)
      Reckoning patient grimacing in Intensive Care Unit (ICU) is a crucial demand in checking routine procedure. Despite of detecting any physical change in the body of the patient, medical staff has to go up and down to the ...

    • Visual based SLAM using modified PSO 

      William, Low; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
      Simultaneous Localization and Mapping (SLAM) addresses the problem of a robot navigating and acquiring spatial models of initially unknown environments, without an absolute localization means. To solve this problem, we ...