Oleander: Feature Selection and Classification Method for Predicting Human Thirst
Author:
Affiliation:
1. M. Kumarasamy College of Engineering,Department of Information Technology,Karur,Tamil Nadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10112659/10112660/10112936.pdf?arnumber=10112936
Reference15 articles.
1. Dehydration detection using machine learning algorithms: a review;tiwari;Journal of Ambient Intelligence and Humanized Computing,2019
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3. Non-invasive dehydration detection using multi-modal sensor data;xu;Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct,2016
4. Dehydration detection using wearable sensors: A machine learning approach;kumar;Journal of Medical Systems,2018
5. Non-Invasive Hydration Level Estimation in Human Body Using Galvanic Skin Response
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