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2020 – today
- 2025
[j4]Vinay Kumar Barigala, Swarubini PJ, Sriram Kumar P, Nagarajan Ganapathy, Karthik P. A., Deepesh Kumar
, Jac Fredo Agastinose Ronickom:
Evaluating the effectiveness of machine learning in identifying the optimal facial electromyography location for emotion detection. Biomed. Signal Process. Control. 100: 107012 (2025)- 2024
- [j3]Praveen Kumar Govarthan, Sriram Kumar P, Nagarajan Ganapathy, Jac Fredo Agastinose Ronickom:
Emotion classification using electrocardiogram and machine learning: A study on the effect of windowing techniques. Expert Syst. Appl. 254: 124371 (2024) - [j2]Sriram Kumar P, Jac Fredo Agastinose Ronickom:
Optimal Electrodermal Activity Segment for Enhanced Emotion Recognition Using Spectrogram-Based Feature Extraction and Machine Learning. Int. J. Neural Syst. 34(5): 2450027:1-2450027:22 (2024) - [j1]Sriram Kumar P, Praveen Kumar Govarthan, Abdul Aleem Shaik Gadda, Nagarajan Ganapathy, Jac Fredo Agastinose Ronickom:
Deep Learning-Based Automated Emotion Recognition Using Multimodal Physiological Signals and Time-Frequency Methods. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - 2023
- [c1]Sriram Kumar P, Praveen Kumar Govarthan, Nagarajan Ganapathy, Jac Fredo Agastinose Ronickom:
Comparative Analysis of Electrodermal Activity Decomposition Methods in Emotion Detection Using Machine Learning. MIE 2023: 73-77
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