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Biosketch
Sivaranjini Perikamana Narayanan (Graduate Student Member, IEEE) received the B.Tech degree in electrical and electronics engineering from Govt. Engineering College, Thrissur, Kerala, India, in 2022. She is currently pursuing the MS+PhD dual degree jointly with the Department of Electrical Engineering, Indian Institute of Technology Palakkad, Kerala, India, and with the Department of Information and Communication Technology, University of Agder, Grimstad, Norway.
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Research
She is currently specializing in infant health and wellness monitoring devices, with a strong focus on the development of intelligent, non-contact, and affordable diagnostic solutions for continuous infant health monitoring, particularly for context and activity aware arrhythmia detection, and vital sign assessment using unobtrusive and contactless multimodal sensors, such as visible and infrared cameras, and microphones.
Major Objectives:
- Multimodal Contactless Sensing Hardware: Development of multimodal contactless sensing hardware by integrating RGB camera, IR camera and microphone.
- Contactless Vital Sign Measurement: Development of multimodal sensing-based vital sign measurement method for continuous measurement of PR, RR, SpO2, BL and BT.
- Infant Cry Detection: Development of accurate deep learning-based infant cry detection method in the presence of background sounds.
- Infant Sleeping Posture Recognition: Development of deep-learning based infant sleeping posture recognition method using multimodal images for improving recognition accuracy in daylight/night conditions.
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Teaching
Teaching Assistantship:
- EE3020 Digital Signal Processing (Jan - May 2023, Jan - May 2024)
- EE2070 Digital Systems (Aug - Dec 2023, Aug - Dec 2025)
- CS5102 SoC Design Lab (Jan - June 2025)
- Phd Supervisor
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Additional Information
TitleResearch PublicationsDescription
Journals:
- S. Perikamana Narayanan, M. S. Manikandan, and L. R. Cenkeramaddi, “YOLOv9-Based Human Face Detection and Counting Under Human-Animal Faces, Complex Imaging Environments, and Image Qualities,” in IEEE Access, vol. 13, pp. 129600-129637, 2025.
International Conference:
- S. Perikamana Narayanan, M. S. Manikandan, and L. R. Cenkeramaddi, “Fast Quality-Aware AMDF Based Pulse Rate Estimation from Compressed PPG Measurements for Wearable Vital Signs Monitor,” 2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), Bucharest, Romania, pp. 01-06, 2023.
- S. Perikamana Narayanan, M. S. Manikandan, and L. R. Cenkeramaddi, "Compressed Sensing Based SpO2 and PR Estimation for Improving Resource Utilization Efficiency of Wearables in IoMT Applications," 2023 IEEE 9th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), Kuala Lumpur, Malaysia, pp. 30-35, 2023.
- S. Perikamana Narayanan, M. S. Manikandan, and L. R. Cenkeramaddi, “Lightweight Photoplethysmogram Waveform Change Detection for Resource-Constrained IoT Enabled Remote Health Monitoring Devices," 2023 11th International Conference on Control, Mechatronics and Automation (ICCMA), Grimstad, Norway, pp. 330-335, 2023.
- S. Perikamana Narayanan and M. S. Manikandan, “Computationally-Efficient Pulse Rate Estimation From Compressed PPG Measurements for Continuous Vital Signs Monitoring,” 2023 5th International Conference on Bio-engineering for Smart Technologies (BioSMART), Paris, France, pp. 1-4, 2023.
- N. S. Shilpa, J. V. Vadakkan, S. Perikamana Narayanan, A. K. Panda, M. S. Manikandan, and R. B. Pachori, “Performance Evaluation of Cuffless Blood Pressure Estimation Methods Using Linear and Non-Linear Models with PTT and PR Parameters,” 2023 9th International Conference on Signal Processing and Communication (ICSC), NOIDA, India, pp. 397-402, 2023.
- K. K. Pulluri, M. S. Manikandan, S. Perikamana Narayanan, and R. B. Pachori, “Performance Evaluation of Ten SpO2 Measurement Equations Using Estimation Error Range Metric and Different Signal Lengths,” 2023 IEEE 9th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), Kuala Lumpur, Malaysia, pp. 18-23, 2023.
- S. Perikamana Narayanan, M. S. Manikandan, and L. R. Cenkeramaddi, “Deep Learning Based Soldier Face Detection and Counting Method for Military Tactical Operations and Artificial Intelligence Powered Weapons,” 2024 IEEE International Workshop on Technologies for Defense and Security (TechDefense), Naples, Italy, pp. 255-260, 2024.
- S. Perikamana Narayanan, M. S. Manikandan, and L. R. Cenkeramaddi, “Fast Autocorrelation Feature-Based Infant Cry Detector for Resource-Efficient Affordable Edge Cry Sound Analysis Systems,” 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA), Kristiansand, Norway, pp. 1-6, 2024.
- S. Perikamana Narayanan, M. S. Manikandan, and L. R. Cenkeramaddi, “Spectrogram and LSTM Based Infant Cry Detection Method for Infant Wellness Monitoring Systems,” 2024 16th International Conference on Human System Interaction (HSI), Paris, France, pp. 1-4, 2024.
- S. Perikamana Narayanan, A. Jha, L. R. Cenkeramaddi and M. S. Manikandan, "Deep Learning-Based Road Activity Image Classification for Intelligent Traffic Management," 2025 17th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), Targoviste, Romania, pp. 1-7, 2025.
