Detecting driver drowsiness based on sensors: a review A Sahayadhas, K Sundaraj, M Murugappan Sensors 12 (12), 16937-16953, 2012 | 836 | 2012 |
A deep learning approach for Parkinson’s disease diagnosis from EEG signals SL Oh, Y Hagiwara, U Raghavendra, R Yuvaraj, N Arunkumar, ... Neural Computing and Applications 32, 10927-10933, 2020 | 585 | 2020 |
Classification of human emotion from EEG using discrete wavelet transform M Murugappan, N Ramachandran, Y Sazali Journal of biomedical science and engineering 3 (04), 390, 2010 | 564 | 2010 |
Physiological signals based human emotion recognition: a review S Jerritta, M Murugappan, R Nagarajan, K Wan 2011 IEEE 7th international colloquium on signal processing and its …, 2011 | 386 | 2011 |
Development of a real-time emotion recognition system using facial expressions and EEG based on machine learning and deep neural network methods A Hassouneh, AM Mutawa, M Murugappan Informatics in Medicine Unlocked 20, 100372, 2020 | 213 | 2020 |
EEG feature extraction for classifying emotions using FCM and FKM M Murugappan, M Rizon, R Nagarajan, S Yaacob, I Zunaidi, D Hazry International journal of Computers and Communications 1 (2), 21-25, 2007 | 193 | 2007 |
ECG signal denoising using wavelet thresholding techniques in human stress assessment P Karthikeyan, M Murugappan, S Yaacob International Journal on Electrical Engineering and Informatics 4 (2), 306, 2012 | 177 | 2012 |
Brain functional connectivity patterns for emotional state classification in Parkinson’s disease patients without dementia R Yuvaraj, M Murugappan, UR Acharya, H Adeli, NM Ibrahim, E Mesquita Behavioural brain research 298, 248-260, 2016 | 170 | 2016 |
Human emotion recognition through short time Electroencephalogram (EEG) signals using Fast Fourier Transform (FFT) M Murugappan, S Murugappan 2013 IEEE 9th International Colloquium on Signal Processing and its …, 2013 | 169 | 2013 |
Classification of emotional states from electrocardiogram signals: a non-linear approach based on hurst J Selvaraj, M Murugappan, K Wan, S Yaacob Biomedical engineering online 12, 1-18, 2013 | 161 | 2013 |
Time-frequency analysis of EEG signals for human emotion detection M Murugappan, M Rizon, R Nagarajan, S Yaacob, D Hazry, I Zunaidi 4th Kuala Lumpur International Conference on Biomedical Engineering 2008 …, 2008 | 150 | 2008 |
Combining spatial filtering and wavelet transform for classifying human emotions using EEG Signals M Murugappan, R Nagarajan, S Yaacob Journal of Medical and Biological Engineering 31 (1), 45-51, 2011 | 126 | 2011 |
Review of emotion recognition in stroke patients R Yuvaraj, M Murugappan, MI Norlinah, K Sundaraj, M Khairiyah Dementia and geriatric cognitive disorders 36 (3-4), 179-196, 2013 | 120 | 2013 |
On the analysis of EEG power, frequency and asymmetry in Parkinson’s disease during emotion processing R Yuvaraj, M Murugappan, N Mohamed Ibrahim, M Iqbal Omar, ... Behavioral and brain functions 10, 1-19, 2014 | 118 | 2014 |
Human emotion classification using wavelet transform and KNN M Murugappan 2011 international conference on pattern analysis and intelligence robotics …, 2011 | 115 | 2011 |
A review on stress inducement stimuli for assessing human stress using physiological signals P Karthikeyan, M Murugappan, S Yaacob 2011 IEEE 7th International Colloquium on Signal Processing and its …, 2011 | 114 | 2011 |
Automated emotion recognition: Current trends and future perspectives M Maithri, U Raghavendra, A Gudigar, J Samanth, PD Barua, ... Computer methods and programs in biomedicine 215, 106646, 2022 | 109 | 2022 |
Multiple physiological signal-based human stress identification using non-linear classifiers K Palanisamy, M Murugappan, S Yaacob Elektronika ir elektrotechnika 19 (7), 80-85, 2013 | 104 | 2013 |
Inferring of human emotional states using multichannel EEG M Murugappan, M Rizon, R Nagarajan, S Yaacob European Journal of Scientific Research 48 (2), 281-299, 2010 | 104 | 2010 |
An Investigation on visual and audiovisual stimulus based emotion recognition using EEG M Murugappan, MRBM Juhari, R Nagarajan, S Yaacob International Journal of Medical Engineering and Informatics 1 (3), 342-356, 2009 | 104 | 2009 |