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Murugappan Murugappan

Showing results (1-10 of 18) with videos related to

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Plos One|February 10, 2016
Optimal Geometrical Set for Automated Marker Placement to Virtualized Real-Time Facial EmotionsVasanthan Maruthapillai, Murugappan Murugappan
Sensors (Basel, Switzerland)|December 11, 2012
Detecting driver drowsiness based on sensors: a reviewArun Sahayadhas, Kenneth Sundaraj, Murugappan Murugappan
Australasian Physical & Engineering Sciences in Medicine|May 31, 2013
Drowsiness detection during different times of day using multiple featuresArun Sahayadhas, Kenneth Sundaraj, Murugappan Murugappan
Sensors (Basel, Switzerland)|January 14, 2021
Correction: Sahayadhas, A., et al. Detecting Driver Drowsiness Based on Sensors: A Review. <i>Sensors</i> 2012, <i>12</i>, 16937-16953Arun Sahayadhas, Kenneth Sundaraj, Murugappan Murugappan
Journal of Physical Therapy Science|November 22, 2013
Frequency Band Analysis of Electrocardiogram (ECG) Signals for Human Emotional State Classification Using Discrete Wavelet Transform (DWT)Murugappan Murugappan, Subbulakshmi Murugappan, Bong Siao Zheng
Journal of Physical Therapy Science|November 22, 2013
Subtractive fuzzy classifier based driver distraction levels classification using EEGMousa Kadhim Wali, Murugappan Murugappan, Badlishah Ahmad
Biomedical Engineering Online|May 18, 2013
Classification of emotional states from electrocardiogram signals: a non-linear approach based on HurstJerritta Selvaraj, Murugappan Murugappan, Khairunizam Wan, et al.
Sensors (Basel, Switzerland)|October 28, 2023
Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson's DiseaseMaksim Belyaev, Murugappan Murugappan, Andrei Velichko, et al.
Diagnostics (Basel, Switzerland)|September 28, 2023
Automated Computer-Aided Detection and Classification of Intracranial Hemorrhage Using Ensemble Deep Learning TechniquesSnekhalatha Umapathy, Murugappan Murugappan, Deepa Bharathi, et al.
Biomedizinische Technik. Biomedical Engineering|January 10, 2014
Frequency study of facial electromyography signals with respect to emotion recognitionJerritta Selvaraj, Murugappan Murugappan, Khairunizam Wan, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Plos One|February 10, 2016
Optimal Geometrical Set for Automated Marker Placement to Virtualized Real-Time Facial EmotionsVasanthan Maruthapillai, Murugappan Murugappan
Sensors (Basel, Switzerland)|December 11, 2012
Detecting driver drowsiness based on sensors: a reviewArun Sahayadhas, Kenneth Sundaraj, Murugappan Murugappan
Australasian Physical & Engineering Sciences in Medicine|May 31, 2013
Drowsiness detection during different times of day using multiple featuresArun Sahayadhas, Kenneth Sundaraj, Murugappan Murugappan
Sensors (Basel, Switzerland)|January 14, 2021
Correction: Sahayadhas, A., et al. Detecting Driver Drowsiness Based on Sensors: A Review. <i>Sensors</i> 2012, <i>12</i>, 16937-16953Arun Sahayadhas, Kenneth Sundaraj, Murugappan Murugappan
Journal of Physical Therapy Science|November 22, 2013
Frequency Band Analysis of Electrocardiogram (ECG) Signals for Human Emotional State Classification Using Discrete Wavelet Transform (DWT)Murugappan Murugappan, Subbulakshmi Murugappan, Bong Siao Zheng
Journal of Physical Therapy Science|November 22, 2013
Subtractive fuzzy classifier based driver distraction levels classification using EEGMousa Kadhim Wali, Murugappan Murugappan, Badlishah Ahmad
Biomedical Engineering Online|May 18, 2013
Classification of emotional states from electrocardiogram signals: a non-linear approach based on HurstJerritta Selvaraj, Murugappan Murugappan, Khairunizam Wan, et al.
Sensors (Basel, Switzerland)|October 28, 2023
Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson's DiseaseMaksim Belyaev, Murugappan Murugappan, Andrei Velichko, et al.
Diagnostics (Basel, Switzerland)|September 28, 2023
Automated Computer-Aided Detection and Classification of Intracranial Hemorrhage Using Ensemble Deep Learning TechniquesSnekhalatha Umapathy, Murugappan Murugappan, Deepa Bharathi, et al.
Biomedizinische Technik. Biomedical Engineering|January 10, 2014
Frequency study of facial electromyography signals with respect to emotion recognitionJerritta Selvaraj, Murugappan Murugappan, Khairunizam Wan, et al.
Pageof 2