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OMNI is an Open Source Monitoring System for Neonates and Infants.
Enhancement of Depth of Field of an image by Focus Stacking
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/
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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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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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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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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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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