Physical Wellbeing Monitoring Employing Non-Invasive Low-Cost and Low-Energy Sensor Socks
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 bee...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/18/9/2822 |
| _version_ | 1811263057586814976 |
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| author | Laura García Lorena Parra Jose M. Jimenez Jaime Lloret |
| author_facet | Laura García Lorena Parra Jose M. Jimenez Jaime Lloret |
| author_sort | Laura García |
| collection | DOAJ |
| description | 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 system that provides a wellness score based on the obtained data. We present the architecture of the system and the disposition of the sensors on the sock. The algorithm of the system is presented as well. The wellness threshold evaluation module allows determining if the monitored parameter is within healthy ranges. The message forwarding module allows decreasing the energy consumption of the system by detecting the presence of alerts or changes in the data. Finally, a simulation was performed in order to determine the energy consumption of the system. Results show that our algorithm allows saving 44.9% of the initial energy in 10,000 min for healthy people. |
| first_indexed | 2024-04-12T19:38:00Z |
| format | Article |
| id | doaj.art-a32ba3dabce943f8ad1e0e912165b647 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-12T19:38:00Z |
| publishDate | 2018-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a32ba3dabce943f8ad1e0e912165b6472022-12-22T03:19:10ZengMDPI AGSensors1424-82202018-08-01189282210.3390/s18092822s18092822Physical Wellbeing Monitoring Employing Non-Invasive Low-Cost and Low-Energy Sensor SocksLaura García0Lorena Parra1Jose M. Jimenez2Jaime Lloret3Integrated Management Coastal Research Institute, Universitat Politècnica de València, C/ Paranimf nº 1, Grao de Gandía—Gandía, 46730 Valencia, SpainIntegrated Management Coastal Research Institute, Universitat Politècnica de València, C/ Paranimf nº 1, Grao de Gandía—Gandía, 46730 Valencia, SpainIntegrated Management Coastal Research Institute, Universitat Politècnica de València, C/ Paranimf nº 1, Grao de Gandía—Gandía, 46730 Valencia, SpainIntegrated Management Coastal Research Institute, Universitat Politècnica de València, C/ Paranimf nº 1, Grao de Gandía—Gandía, 46730 Valencia, SpainDetermining 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 system that provides a wellness score based on the obtained data. We present the architecture of the system and the disposition of the sensors on the sock. The algorithm of the system is presented as well. The wellness threshold evaluation module allows determining if the monitored parameter is within healthy ranges. The message forwarding module allows decreasing the energy consumption of the system by detecting the presence of alerts or changes in the data. Finally, a simulation was performed in order to determine the energy consumption of the system. Results show that our algorithm allows saving 44.9% of the initial energy in 10,000 min for healthy people.http://www.mdpi.com/1424-8220/18/9/2822wellbeinglow-energynon-invasivewearable |
| spellingShingle | Laura García Lorena Parra Jose M. Jimenez Jaime Lloret Physical Wellbeing Monitoring Employing Non-Invasive Low-Cost and Low-Energy Sensor Socks Sensors wellbeing low-energy non-invasive wearable |
| title | Physical Wellbeing Monitoring Employing Non-Invasive Low-Cost and Low-Energy Sensor Socks |
| title_full | Physical Wellbeing Monitoring Employing Non-Invasive Low-Cost and Low-Energy Sensor Socks |
| title_fullStr | Physical Wellbeing Monitoring Employing Non-Invasive Low-Cost and Low-Energy Sensor Socks |
| title_full_unstemmed | Physical Wellbeing Monitoring Employing Non-Invasive Low-Cost and Low-Energy Sensor Socks |
| title_short | Physical Wellbeing Monitoring Employing Non-Invasive Low-Cost and Low-Energy Sensor Socks |
| title_sort | physical wellbeing monitoring employing non invasive low cost and low energy sensor socks |
| topic | wellbeing low-energy non-invasive wearable |
| url | http://www.mdpi.com/1424-8220/18/9/2822 |
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