Deep Learning Framework for Categorical Emotional States Assessment Using Electrodermal Activity Signals. - Praveen Kumar Govarthan; Nagarajan Sriram Kumar Pa Ganapathy; Jac Fredo Agastinose Ronickom (ICIMTH, 2023)

Comparative Analysis of Electrodermal Activity Decomposition Methods in Emotion Detection Using Machine Learning. - Sriram Kumar P; Praveen Kumar Govarthan; Nagarajan Ganapathy; Jac Fredo Agastinose Ronickom (MIE, 2023)

Low Valence Low Arousal Stimuli: An Effective Candidate for EEG-Based Biometrics Authentication System. - Jahanvi Jeswani; Praveen Kumar Govarthan; Abirami Selvaraj; A. Amalin Prince; John Thomas; Mohanavelu Kalathe; Venkat Sreeraj V. Se Subramaniam; Jac Fredo Agastinose Ronickom (MIE, 2023)

Emotion classification using electrocardiogram and machine learning: A study on the effect of windowing techniques. - Praveen Kumar Govarthan; Sriram Kumar P; Nagarajan Ganapathy; Jac Fredo Agastinose Ronickom (Expert Syst. Appl., 2024)

Deep Learning-Based Automated Emotion Recognition Using Multimodal Physiological Signals and Time-Frequency Methods. - Sriram Kumar P; Praveen Kumar Govarthan; Abdul Aleem Shaik Gadda; Nagarajan Ganapathy; Jac Fredo Agastinose Ronickom (IEEE Trans. Instrum. Meas., 2024)