2018
DOI: 10.3390/s18092822
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Physical Wellbeing Monitoring Employing Non-Invasive Low-Cost and Low-Energy Sensor Socks

Abstract: Determining and improving the wellbeing of people is one of the priorities of the OECD countries. Nowadays many sensors allow monitoring different parameters in regard to the wellbeing of people. These sensors can be deployed in smartphones, clothes or accessories like watches. Many studies have been performed on wearable devices that monitor certain aspects of the health of people, especially for specific diseases. In this paper, we propose a non-invasive low-cost and low-energy physical wellbeing monitoring … Show more

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Cited by 11 publications
(9 citation statements)
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References 25 publications
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“…ML techniques learn and communicate information from numerous sources and realize unseen relationships among the source factors [30]. Various popular ML algorithms including Neural networks (NN), Naïve Bayes, k nearest neighbour (k-NN), Support Vector Machine (SVM), Decision Tree (DT), regression, clustering, Hidden Markov model (HMM), Gaussian Mixture Modelling (GMM), etc., are currently used for analysing and predicting human health conditions to support decision making in both normal and emergency situations.…”
Section: Machine Learning For Healthcarementioning
confidence: 99%
“…ML techniques learn and communicate information from numerous sources and realize unseen relationships among the source factors [30]. Various popular ML algorithms including Neural networks (NN), Naïve Bayes, k nearest neighbour (k-NN), Support Vector Machine (SVM), Decision Tree (DT), regression, clustering, Hidden Markov model (HMM), Gaussian Mixture Modelling (GMM), etc., are currently used for analysing and predicting human health conditions to support decision making in both normal and emergency situations.…”
Section: Machine Learning For Healthcarementioning
confidence: 99%
“…In order to determine a level of well-being, the authors of [219] designed a smart sock based on the Lilypad Arduino that is able to collect sensor data and transmit them through WiFi to a remote database. Specifically, the smart garment collects data on the wearer's heart rate, heart rate variation, oxygen saturation, galvanic skin response or his/her temperature.…”
Section: Sports and Wellnessmentioning
confidence: 99%
“…Smart socks are not restricted to pressure sensor technology, though. Other types of smart socks comprise EMG sensors to determine the activity of leg muscles around the ankle [18], in order to assess the risk of accidents or the health condition, while others are equipped with more types of sensors for determining the overall score of wellbeing [19] or health disorders [20]. Smart socks are easy to wear, minimizing the discomfort for the subjects that use them [17].…”
Section: Smart Sock Definition and Principles Of The Technologymentioning
confidence: 99%