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Adaptive Data Transmission Algorithm for the System of Inertial Sensors for Hand Movement Acquisition
Modern systems of intelligent sensors commonly use radio data transmission. Hand movement acquisition with the use of inertial sensors requires the processing and transmission of a relatively large amount of data, which may be associated with a significant load on the network structure. Network traf...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781473/ https://www.ncbi.nlm.nih.gov/pubmed/36560234 http://dx.doi.org/10.3390/s22249866 |
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author | Pielka, Michał Janik, Paweł Janik, Małgorzata A. Wróbel, Zygmunt |
author_facet | Pielka, Michał Janik, Paweł Janik, Małgorzata A. Wróbel, Zygmunt |
author_sort | Pielka, Michał |
collection | PubMed |
description | Modern systems of intelligent sensors commonly use radio data transmission. Hand movement acquisition with the use of inertial sensors requires the processing and transmission of a relatively large amount of data, which may be associated with a significant load on the network structure. Network traffic limitation, without losing the quality of monitoring parameters from the sensor system, is therefore important for the functioning of the radio network which integrates both the teletransmission sensor system and the data acquisition server. The paper presents a wearable solution for hand movement acquisition, which uses data transmission in the Wi-Fi standard and contains 16 MEMS (Micro Electro Mechanical System) sensors. An adaptive algorithm to control radio data transmission for the sensor system has been proposed. The algorithm implemented in the embedded system controls the change of the frame length, the length of the transmission frame and the frequency of its sending, which reduces the load on the network router. The use of the algorithm makes it possible to reduce the power consumption by the sensor system by up to 19.9% and to limit the number of data transferred by up to about 91.6%, without losing the quality of the monitored signal. The data analysis showed no statistically significant differences (p > 0.05) between the signal reconstructed from the complete data and processed by the algorithm. |
format | Online Article Text |
id | pubmed-9781473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97814732022-12-24 Adaptive Data Transmission Algorithm for the System of Inertial Sensors for Hand Movement Acquisition Pielka, Michał Janik, Paweł Janik, Małgorzata A. Wróbel, Zygmunt Sensors (Basel) Article Modern systems of intelligent sensors commonly use radio data transmission. Hand movement acquisition with the use of inertial sensors requires the processing and transmission of a relatively large amount of data, which may be associated with a significant load on the network structure. Network traffic limitation, without losing the quality of monitoring parameters from the sensor system, is therefore important for the functioning of the radio network which integrates both the teletransmission sensor system and the data acquisition server. The paper presents a wearable solution for hand movement acquisition, which uses data transmission in the Wi-Fi standard and contains 16 MEMS (Micro Electro Mechanical System) sensors. An adaptive algorithm to control radio data transmission for the sensor system has been proposed. The algorithm implemented in the embedded system controls the change of the frame length, the length of the transmission frame and the frequency of its sending, which reduces the load on the network router. The use of the algorithm makes it possible to reduce the power consumption by the sensor system by up to 19.9% and to limit the number of data transferred by up to about 91.6%, without losing the quality of the monitored signal. The data analysis showed no statistically significant differences (p > 0.05) between the signal reconstructed from the complete data and processed by the algorithm. MDPI 2022-12-15 /pmc/articles/PMC9781473/ /pubmed/36560234 http://dx.doi.org/10.3390/s22249866 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Pielka, Michał Janik, Paweł Janik, Małgorzata A. Wróbel, Zygmunt Adaptive Data Transmission Algorithm for the System of Inertial Sensors for Hand Movement Acquisition |
title | Adaptive Data Transmission Algorithm for the System of Inertial Sensors for Hand Movement Acquisition |
title_full | Adaptive Data Transmission Algorithm for the System of Inertial Sensors for Hand Movement Acquisition |
title_fullStr | Adaptive Data Transmission Algorithm for the System of Inertial Sensors for Hand Movement Acquisition |
title_full_unstemmed | Adaptive Data Transmission Algorithm for the System of Inertial Sensors for Hand Movement Acquisition |
title_short | Adaptive Data Transmission Algorithm for the System of Inertial Sensors for Hand Movement Acquisition |
title_sort | adaptive data transmission algorithm for the system of inertial sensors for hand movement acquisition |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781473/ https://www.ncbi.nlm.nih.gov/pubmed/36560234 http://dx.doi.org/10.3390/s22249866 |
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