OMNI
OMNI is an Open Source Monitoring System for Neonates and Infants. 
Posts by Collection
portfolio
Multi Sensor Focus Stacking
Enhancement of Depth of Field of an image by Focus Stacking 
publications
Low-Cost Wearable Gesture Recognition System with Minimal User Calibration for ASL
Published in 2019 International Conference on Internet of Things, 2019
A wearable gesture recognition system that identifies the alphabetic gestures in the American Sign Language (ASL) efficiently, requiring minimal user calibration.
Recommended citation: S. S. Ahmed, H. Gokul, P. Suresh and V. Vijayaraghavan, "Low-Cost Wearable Gesture Recognition System with Minimal User Calibration for ASL," 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Atlanta, GA, USA, 2019, pp. 1080-1087. https://ieeexplore.ieee.org/abstract/document/8875343/
Gait Recovery System for Parkinson’s Disease using Machine Learning on Embedded Platforms
Published in 14th Annual IEEE International Systems Conference, 2020
A ubiquitous embedded system that detects Freezing of Gait events with Machine Learning from accelerometer signals
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Robust Modelling of Reflectance Pulse Oximetry for SpO2 Estimation
Published in 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2020
A minimally calibrated, data driven approach to obtain Specific Oxygen in the blood from reflectance photoplethysmogram
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End-to-End Deep Learning for Reliable Cardiac Activity Monitoring using Seismocardiograms
Published in 19th IEEE International Conference on Machine Learning and Applications, 2020
Robust approach for extraction of R-peak locations for HRV monitoring from Seismocardiograms using Deep Learning.
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WaDeNet: Wavelet Decomposition based CNN for Speech Processing
Published in 2021 IEEE International Conference on Acoustics, Speech and Signal Processing, 2021
A Light Convolutional Neural Network that incorporates wavelet decompositon, thus alleviateing the need for biforcated speech processing modules.
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talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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