Sidrah Liaqat
Personalized wearable electrodermal sensing-based human skin hydration level detection for sports, health and wellbeing
Liaqat, Sidrah; Dashtipour, Kia; Rizwan, Ali; Usman, Muhammad; Shah, Syed Aziz; Arshad, Kamran; Assaleh, Khaled; Ramzan, Naeem
Authors
Dr Kia Dashtipour K.Dashtipour@napier.ac.uk
Lecturer
Ali Rizwan
Muhammad Usman
Syed Aziz Shah
Kamran Arshad
Khaled Assaleh
Naeem Ramzan
Abstract
Personalized hydration level monitoring play vital role in sports, health, wellbeing and safety of a person while performing particular set of activities. Clinical staff must be mindful of numerous physiological symptoms that identify the optimum hydration specific to the person, event and environment. Hence, it becomes extremely critical to monitor the hydration levels in a human body to avoid potential complications and fatalities. Hydration tracking solutions available in the literature are either inefficient and invasive or require clinical trials. An efficient hydration monitoring system is very required, which can regularly track the hydration level, non-invasively. To this aim, this paper proposes a machine learning (ML) and deep learning (DL) enabled hydration tracking system, which can accurately estimate the hydration level in human skin using galvanic skin response (GSR) of human body. For this study, data is collected, in three different hydration states, namely hydrated, mild dehydration (8 hours of dehydration) and extreme mild dehydration (16 hours of dehydration), and three different body postures, such as sitting, standing and walking. Eight different ML algorithms and four different DL algorithms are trained on the collected GSR data. Their accuracies are compared and a hybrid (ML+DL) model is proposed to increase the estimation accuracy. It can be reported that hybrid Bi-LSTM algorithm can achieve an accuracy of 97.83%.
Citation
Liaqat, S., Dashtipour, K., Rizwan, A., Usman, M., Shah, S. A., Arshad, K., Assaleh, K., & Ramzan, N. (2022). Personalized wearable electrodermal sensing-based human skin hydration level detection for sports, health and wellbeing. Scientific Reports, 12(1), Article 3715. https://doi.org/10.1038/s41598-022-07754-8
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 15, 2022 |
Online Publication Date | Mar 8, 2022 |
Publication Date | 2022 |
Deposit Date | Aug 25, 2022 |
Publicly Available Date | Aug 25, 2022 |
Journal | Scientific Reports |
Publisher | Nature Publishing Group |
Peer Reviewed | Peer Reviewed |
Volume | 12 |
Issue | 1 |
Article Number | 3715 |
DOI | https://doi.org/10.1038/s41598-022-07754-8 |
Public URL | http://researchrepository.napier.ac.uk/Output/2899299 |
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Personalized Wearable Electrodermal Sensing-based Human Skin Hydration Level Detection For Sports, Health And Wellbeing
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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