The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Quando coletamos dados vitais de praticantes colocando-lhes nós de sensores sem fio, a confiabilidade da coleta de dados sem fio depende da posição do nó no corpo do praticante, portanto, para determinar a posição corporal adequada, é essencial avaliar o desempenho da coleta de dados alterando as posições corporais dos nós em experimentos envolvendo seres humanos. No entanto, a sua comparação justa é problemática, porque os experimentos não têm repetibilidade, ou seja, não podemos avaliar os desempenhos para múltiplas posições corporais em um experimento ao mesmo tempo. Neste artigo, prevemos o desempenho de um simulador de rede de software. Usando duas funções principais, como uma função de estado de canal e uma função de mobilidade, o simulador de rede pode gerar repetidamente o mesmo canal e condições de mobilidade para os nós. O resultado numérico obtido pelo simulador de rede mostra que ao coletar dados vitais de vinte e dois jogadores de futebol em um jogo, entre três posições corporais, como cintura, antebraço e panturrilha, a posição do antebraço fornece a maior taxa de coleta de dados e as taxas de coleta de dados previstas concordam bem com os obtidos por um experimento envolvendo sujeitos reais.
Takuma HAMAGAMI
Oki Electric Industry Co., Ltd.
Shinsuke HARA
Osaka City University
Hiroyuki YOMO
Kansai University
Ryusuke MIYAMOTO
Meiji University
Yasutaka KAWAMOTO
Oki Electric Industry Co., Ltd.
Takunori SHIMAZAKI
Osaka City University
Hiroyuki OKUHATA
Soliton Systems K.K.
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Takuma HAMAGAMI, Shinsuke HARA, Hiroyuki YOMO, Ryusuke MIYAMOTO, Yasutaka KAWAMOTO, Takunori SHIMAZAKI, Hiroyuki OKUHATA, "Performance Prediction of Wireless Vital Data Collection System for Exercisers by a Network Simulator" in IEICE TRANSACTIONS on Communications,
vol. E103-B, no. 6, pp. 653-661, June 2020, doi: 10.1587/transcom.2019HMP0004.
Abstract: When we collect vital data from exercisers by putting wireless sensor nodes to them, the reliability of the wireless data collection is dependent on the position of node on the body of exerciser, therefore, in order to determine the suitable body position, it is essential to evaluate the data collection performances by changing the body positions of nodes in experiments involving human subjects. However, their fair comparison is problematic, because the experiments have no repeatability, that is, we cannot evaluate the performances for multiple body positions in an experiment at the same time. In this paper, we predict the performances by a software network simulator. Using two main functions such as a channel state function and a mobility function, the network simulator can repeatedly generate the same channel and mobility conditions for nodes. Numerical result obtained by the network simulator shows that when collecting vital data from twenty two footballers in a game, among three body position such as waist, forearm and calf, the forearm position gives the highest data collection rate and the predicted data collection rates agree well with the ones obtained by an experiment involving real subjects.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019HMP0004/_p
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@ARTICLE{e103-b_6_653,
author={Takuma HAMAGAMI, Shinsuke HARA, Hiroyuki YOMO, Ryusuke MIYAMOTO, Yasutaka KAWAMOTO, Takunori SHIMAZAKI, Hiroyuki OKUHATA, },
journal={IEICE TRANSACTIONS on Communications},
title={Performance Prediction of Wireless Vital Data Collection System for Exercisers by a Network Simulator},
year={2020},
volume={E103-B},
number={6},
pages={653-661},
abstract={When we collect vital data from exercisers by putting wireless sensor nodes to them, the reliability of the wireless data collection is dependent on the position of node on the body of exerciser, therefore, in order to determine the suitable body position, it is essential to evaluate the data collection performances by changing the body positions of nodes in experiments involving human subjects. However, their fair comparison is problematic, because the experiments have no repeatability, that is, we cannot evaluate the performances for multiple body positions in an experiment at the same time. In this paper, we predict the performances by a software network simulator. Using two main functions such as a channel state function and a mobility function, the network simulator can repeatedly generate the same channel and mobility conditions for nodes. Numerical result obtained by the network simulator shows that when collecting vital data from twenty two footballers in a game, among three body position such as waist, forearm and calf, the forearm position gives the highest data collection rate and the predicted data collection rates agree well with the ones obtained by an experiment involving real subjects.},
keywords={},
doi={10.1587/transcom.2019HMP0004},
ISSN={1745-1345},
month={June},}
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TY - JOUR
TI - Performance Prediction of Wireless Vital Data Collection System for Exercisers by a Network Simulator
T2 - IEICE TRANSACTIONS on Communications
SP - 653
EP - 661
AU - Takuma HAMAGAMI
AU - Shinsuke HARA
AU - Hiroyuki YOMO
AU - Ryusuke MIYAMOTO
AU - Yasutaka KAWAMOTO
AU - Takunori SHIMAZAKI
AU - Hiroyuki OKUHATA
PY - 2020
DO - 10.1587/transcom.2019HMP0004
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2020
AB - When we collect vital data from exercisers by putting wireless sensor nodes to them, the reliability of the wireless data collection is dependent on the position of node on the body of exerciser, therefore, in order to determine the suitable body position, it is essential to evaluate the data collection performances by changing the body positions of nodes in experiments involving human subjects. However, their fair comparison is problematic, because the experiments have no repeatability, that is, we cannot evaluate the performances for multiple body positions in an experiment at the same time. In this paper, we predict the performances by a software network simulator. Using two main functions such as a channel state function and a mobility function, the network simulator can repeatedly generate the same channel and mobility conditions for nodes. Numerical result obtained by the network simulator shows that when collecting vital data from twenty two footballers in a game, among three body position such as waist, forearm and calf, the forearm position gives the highest data collection rate and the predicted data collection rates agree well with the ones obtained by an experiment involving real subjects.
ER -